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A Development of the Customer based On-premise ERP Implementation Process Framework

  • Oh, Deok-Soo;Kim, Hyeong-Soo;Kim, Seung-Hee
    • International journal of advanced smart convergence
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    • v.10 no.3
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    • pp.257-278
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    • 2021
  • As the definition of the vendor-oriented implementation method, which was utilized in adopting an ERP system, has been centered around the project construction business, it was difficult for the EPR adopting organization to systematically prepare ERP projects and have enough deliberative opportunities to change-related policies. Furthermore, this method does not have a fully standardized construction process. Accordingly, by defining an organization that wants to adopt an ERP system as a customer, this paper develops the customer-based ERP construction process framework that assists both customers and developers who construct the system. For this purpose, this paper reviews the previous research and collects the construction processes of the commercial ERP SW vendor and ERP construction cases while proposing the three-layer process framework to construct ERP through the KJ method. The ERP process framework consists of 7 processes, 32 activities, 141 tasks while providing definitions for concepts of each component. Furthermore, the proposed processes and phases were set in order of the recommended execution, while the activities were suggested as an open-ended type so that the application and usability can be increased and polished by reflecting experts' opinions. The contribution of this study is to standardize the ERP project process by transforming the previous supplier-based ERP construction method into the customer-based one while providing important procedure and activity frameworks that apply to diverse ERP solutions per vendor. At the same time, this study provides an theoretical foundation to develop the construction process for the customer -based Cloud ERP. In practice, At the beginning of the ERP system construction project, it provides communication or process tailoring tools for the stakeholder.

ON PETERSON'S OPEN PROBLEM AND REPRESENTATIONS OF THE GENERAL LINEAR GROUPS

  • Phuc, Dang Vo
    • Journal of the Korean Mathematical Society
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    • v.58 no.3
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    • pp.643-702
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    • 2021
  • Fix ℤ/2 is the prime field of two elements and write 𝒜2 for the mod 2 Steenrod algebra. Denote by GLd := GL(d, ℤ/2) the general linear group of rank d over ℤ/2 and by ${\mathfrak{P}}_d$ the polynomial algebra ℤ/2[x1, x2, …, xd] as a connected unstable 𝒜2-module on d generators of degree one. We study the Peterson "hit problem" of finding the minimal set of 𝒜2-generators for ${\mathfrak{P}}_d$. Equivalently, we need to determine a basis for the ℤ/2-vector space $$Q{\mathfrak{P}}_d:={\mathbb{Z}}/2{\otimes}_{\mathcal{A}_2}\;{\mathfrak{P}}_d{\sim_=}{\mathfrak{P}}_d/{\mathcal{A}}^+_2{\mathfrak{P}}_d$$ in each degree n ≥ 1. Note that this space is a representation of GLd over ℤ/2. The problem for d = 5 is not yet completely solved, and unknown in general. In this work, we give an explicit solution to the hit problem of five variables in the generic degree n = r(2t - 1) + 2ts with r = d = 5, s = 8 and t an arbitrary non-negative integer. An application of this study to the cases t = 0 and t = 1 shows that the Singer algebraic transfer of rank 5 is an isomorphism in the bidegrees (5, 5 + (13.20 - 5)) and (5, 5 + (13.21 - 5)). Moreover, the result when t ≥ 2 was also discussed. Here, the Singer transfer of rank d is a ℤ/2-algebra homomorphism from GLd-coinvariants of certain subspaces of $Q{\mathfrak{P}}_d$ to the cohomology groups of the Steenrod algebra, $Ext^{d,d+*}_{\mathcal{A}_2}$ (ℤ/2, ℤ/2). It is one of the useful tools for studying these mysterious Ext groups.

Long-term Survival Outcomes of Laparoscopic Gastrectomy for Advanced Gastric Cancer: Five-year Results of a Phase II Prospective Clinical Trial

  • Ahn, Sang-Hoon;Kang, So Hyun;Lee, Yoontaek;Min, Sa-Hong;Park, Young Suk;Park, Do Joong;Kim, Hyung-Ho
    • Journal of Gastric Cancer
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    • v.19 no.1
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    • pp.102-110
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    • 2019
  • Purpose: Despite an increased acceptance of laparoscopic gastrectomy (LG) in early gastric cancer (EGC), there is insufficient evidence for its oncological safety in advanced gastric cancer (AGC). This is a prospective phase II clinical trial to evaluate the feasibility of LG with D2 lymph node dissection (LND) in AGC. Materials and Methods: The primary endpoint was set as 3-year disease-free survival (DFS). The eligibility criteria were as follows: 20-80 years of age, cT2N0-cT4aN3, American Society of Anesthesiologists score of 3 or less, and no other malignancy. Patients were enrolled in this single-arm study between November 2008 and May 2012. Exclusion criteria included cT4b or M1, or having final pathologic results as EGC. All patients underwent D2 lymphadenectomy. Three-year DFS rates were estimated by the Kaplan-Meier method. Results: A total of 157 patients were enrolled. The overall local complication rate was 10.2%. Conversion to open surgery occurred in 11 patients (7.0%). The mean follow-up period was $55.0{\pm}20.4months$ (1-81 months). The cumulative 3-year DFS rates were 76.3% for all stages, and 100%, 89.3%, 100%, 88.0%, 71.4%, and 35.3% for stage IB, IIA, IIB, IIIA, IIIB, and IIIC, respectively. Recurrence was observed in 37 patients (23.6%), including hematogenous (n=6), peritoneal (n=13), locoregional (n=1), distant node (n=8), and mixed recurrence (n=9). Conclusions: In addition to being technically feasible for treatment of AGC in terms of morbidity, LG with D2 LND for locally advanced gastric cancer showed acceptable 3-year DFS outcomes.

Comparative analysis of turbulence models in hydraulic jumps

  • Lobosco, Raquel J.;da Fonseca, David O.;Jannuzzia, Graziella M.F.;Costa, Necesio G.
    • Coupled systems mechanics
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    • v.8 no.4
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    • pp.339-350
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    • 2019
  • A numerical simulation of the incompressible multiphase hydraulic jump flow was performed to compare the interface prediction through the use of the three RANS turbulence models: $k-{\varepsilon}$, $RNGk-{\varepsilon}$ and SST $k-{\omega}$. A three dimensional no submerged hydraulic jump and a two dimensional submerged hydraulic jump were modeled. Both the geometry and the mesh were created using the open source Gmsh code. The project's geometry consists of a rectangular channel with length and height differences between the two dimensional and three dimensional simulations. Uniform hexahedral cells were used for the mesh. Three refining meshes were constructed to allow to verify simulation convergence. The Volume of Fluid (abbr. VOF) method was used for treatment of the air-water surface. The turbulence models were evaluated in three distinct set up configurations to provide a greater accuracy in the flow representation. In the two-dimensional analysis of a submerged hydraulic jump simulation, the turbulence model RNG RNG $k-{\varepsilon}$ provided a better interface adjust with the experimental results than the model $k-{\varepsilon}$ and SST $k-{\omega}$. In the three-dimensional simulation of a no-submerged hydraulic jump the k-# showed better results than the SST $k-{\omega}$ and RNG $k-{\varepsilon}$ capturing the height and length of the ledge with a better fit with the experimental results.

The Effects of the Educational Resources on Recruitment Rates of the Universities in South-Eastern Korea (한국의 동남권 대학의 학내 교육자원이 대학의 취업성과에 미치는 영향)

  • Kim, Young-Bu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.12
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    • pp.471-479
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    • 2018
  • This research examines the sustainable mutual growth of academia and industry regarding human resource cultivation and recruitment of local communities. at the beginning of regularized survival competitions and university innovations according to University Basic Competence Evaluations and etc., This research considers the substantive effect of educational resources of universities on recruitment rates in the pursuit of enhancing university-industry cooperation. Therefore, to identify factors of recruitment rates, we employ a university-wise index based on a quantitative index of educational resources of universities. Regarding study methods, set-up and verification of hypothesis, empirical analysis, descriptive statistics analysis, and correlation analysis are used to identify the correlation between dependent variables and independent variables based on the three sub-indexes of open records at Higher Education including educational environments, educational finances, and research achievements. Implications were derived from multiple regression analysis results regarding education conditions and recruitment rates, educational finances and recruitment rates, and research achievement and recruitment rates. This research can be extended to predict regional university recruitment rates with empirical analysis considering regional characteristics.

A study on intrusion detection performance improvement through imbalanced data processing (불균형 데이터 처리를 통한 침입탐지 성능향상에 관한 연구)

  • Jung, Il Ok;Ji, Jae-Won;Lee, Gyu-Hwan;Kim, Myo-Jeong
    • Convergence Security Journal
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    • v.21 no.3
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    • pp.57-66
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    • 2021
  • As the detection performance using deep learning and machine learning of the intrusion detection field has been verified, the cases of using it are increasing day by day. However, it is difficult to collect the data required for learning, and it is difficult to apply the machine learning performance to reality due to the imbalance of the collected data. Therefore, in this paper, A mixed sampling technique using t-SNE visualization for imbalanced data processing is proposed as a solution to this problem. To do this, separate fields according to characteristics for intrusion detection events, including payload. Extracts TF-IDF-based features for separated fields. After applying the mixed sampling technique based on the extracted features, a data set optimized for intrusion detection with imbalanced data is obtained through data visualization using t-SNE. Nine sampling techniques were applied through the open intrusion detection dataset CSIC2012, and it was verified that the proposed sampling technique improves detection performance through F-score and G-mean evaluation indicators.

Neural network analysis using neuralnet in R (R의 neuralnet을 활용한 신경망분석)

  • Baik, Jaiwook
    • Industry Promotion Research
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    • v.6 no.1
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    • pp.1-7
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    • 2021
  • We investigated multi-layer perceptrons and supervised learning algorithms, and also examined how to model functional relationships between covariates and response variables using a package called neuralnet. The algorithm applied in this paper is characterized by continuous adjustment of the weights, which are parameters to minimize the error function based on the comparison between the actual and predicted values of the response variable. In the neuralnet package, the activation and error functions can be appropriately selected according to the given situation, and the remaining parameters can be set as default values. As a result of using the neuralnet package for the infertility data, we found that age has little influence on infertility among the four independent variables. In addition, the weight of the neural network takes various values from -751.6 to 7.25, and the intercepts of the first hidden layer are -92.6 and 7.25, and the weights for the covariates age, parity, induced, and spontaneous to the first hidden neuron are identified as 3.17, -5.20, -36.82, and -751.6.

Southeast Asian Studies in Korea Revisited: Pluralistic Growth and Lack of Inclusiveness (한국의 동남아연구 성장과 포괄성 문제)

  • JEON, Je Seong
    • The Southeast Asian review
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    • v.28 no.4
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    • pp.1-29
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    • 2018
  • The purpose of this study is to review the Southeast Asian studies in Korea in a comprehensive way and to set a new task for our academic community. To do this, I tried to analyze the total amount and trends of scholarly achievement (thesis, journal articles, and academic books). The content is divided into research history, research accumulation, and researcher scale. The history of research dates back more than we thought and was decentralized. Research accumulation is becoming more and more pluralistic. The number of researchers from various academic fields was higher than expected. The newly discovered Southeast Asian studies of Korea suggests the task of increasing the inclusiveness of our academic community. The KASEAS (Korean Association of Southeast Asian Studies) seems to be narrow and stagnant compared to the trend of Southeast Asian studies in Korea, which is constantly growing quantitatively, academically spreading, and transcending nationality. In order to increase the inclusiveness of the KASEAS, efforts should be made to open a variety of decentralized and autonomous study groups, to invite domestic graduate students from Southeast Asia, and to spread the university's foothold as a point of contact between pluralistic disciplines.

SAD : Web Session Anomaly Detection based on Bayesian Estimation (베이지언 추정을 이용한 웹 서비스 공격 탐지)

  • 조상현;김한성;이병희;차성덕
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.13 no.2
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    • pp.115-125
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    • 2003
  • As Web services are generally open for external uses and not filtered by Firewall, these result in attacker's target. Web attacks which exploit vulnerable web-applications and malicious users' requests cause economical and social problems. In this paper, we are modelling general web service usages based on user-web-session and detect anomal usages with Bayesian estimation method. Finally we propose SAD(Session Anomaly Detection) for detection unknown web attacks. To evaluate SAD, we made an experiment on attack simulation with web vulnerability scanner, whisker. The results show that the detection rate of SAD is over 90%, which is influenced by several features such as size of window or training set, detection filter method and web topology.

A Study on a Mask R-CNN-Based Diagnostic System Measuring DDH Angles on Ultrasound Scans (다중 트레이닝 기법을 이용한 MASK R-CNN의 초음파 DDH 각도 측정 진단 시스템 연구)

  • Hwang, Seok-Min;Lee, Si-Wook;Lee, Jong-Ha
    • Journal of the Institute of Convergence Signal Processing
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    • v.21 no.4
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    • pp.183-194
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    • 2020
  • Recently, the number of hip dysplasia (DDH) that occurs during infant and child growth has been increasing. DDH should be detected and treated as early as possible because it hinders infant growth and causes many other side effects In this study, two modelling techniques were used for multiple training techniques. Based on the results after the first transformation, the training was designed to be possible even with a small amount of data. The vertical flip, rotation, width and height shift functions were used to improve the efficiency of the model. Adam optimization was applied for parameter learning with the learning parameter initially set at 2.0 x 10e-4. Training was stopped when the validation loss was at the minimum. respectively A novel image overlay system using 3D laser scanner and a non-rigid registration method is implemented and its accuracy is evaluated. By using the proposed system, we successfully related the preoperative images with an open organ in the operating room