• Title/Summary/Keyword: Multiple-Chain

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Peeking Inside The Black-box of Supplier Integration for New Product Development: Salespersons' Coordinating and Regulating Behaviors (신제품 개발을 위한 공급자 통합에 관한 연구: 영업사원의 조정 및 규제 행동의 관점으로)

  • Oh, Jaeyoung
    • Journal of Korean Society for Quality Management
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    • v.50 no.2
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    • pp.221-233
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    • 2022
  • Purpose: This study investigates how the salespersons behave in coordinating the multiple communication channels during supplier integration (SI) for new product development (NPD), especially when their engineers directly collaborate with the buyer. Methods: This study conducted a qualitative study to explore the dynamics of the supplier's salespersons during SI for NPD. With the support of a consumer goods manufacturer (focal firm) in South Korea, we interviewed several managers, including purchasing and engineering, from the focal firm and salespersons from eight tier-1 suppliers of the focal firm. Results: The results found that the supplier's salespersons show two different behaviors toward managing and controlling the collaboration between their engineers and the buyer: (1) Process regulating behaviors that control the flows of information or communication between the engineers and the buyer, and (2) knowledge regulating behaviors that directly and indirectly support the engineers to be equipped with accurate and complete knowledge so that they can share the right knowledge with the buyer. Conclusion: This study contributes to academia and practitioners as follows. To academia, this study fill the gap in the literature by introducing the distinct behaviors of the supplier's salesperson in SI for NPD. To practitioner, in addition, our findings present coordination mechanisms to manage and control multiple communications within an inter-organizational collaboration.

A novel Metropolis-within-Gibbs sampler for Bayesian model updating using modal data based on dynamic reduction

  • Ayan Das;Raj Purohit Kiran;Sahil Bansal
    • Structural Engineering and Mechanics
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    • v.87 no.1
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    • pp.1-18
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    • 2023
  • The paper presents a Bayesian Finite element (FE) model updating methodology by utilizing modal data. The dynamic condensation technique is adopted in this work to reduce the full system model to a smaller model version such that the degrees of freedom (DOFs) in the reduced model correspond to the observed DOFs, which facilitates the model updating procedure without any mode-matching. The present work considers both the MPV and the covariance matrix of the modal parameters as the modal data. Besides, the modal data identified from multiple setups is considered for the model updating procedure, keeping in view of the realistic scenario of inability of limited number of sensors to measure the response of all the interested DOFs of a large structure. A relationship is established between the modal data and structural parameters based on the eigensystem equation through the introduction of additional uncertain parameters in the form of modal frequencies and partial mode shapes. A novel sampling strategy known as the Metropolis-within-Gibbs (MWG) sampler is proposed to sample from the posterior Probability Density Function (PDF). The effectiveness of the proposed approach is demonstrated by considering both simulated and experimental examples.

An Empirical Study on the Determinants of Supply Chain Management Systems Success from Vendor's Perspective (참여자관점에서 공급사슬관리 시스템의 성공에 영향을 미치는 요인에 관한 실증연구)

  • Kang, Sung-Bae;Moon, Tae-Soo;Chung, Yoon
    • Asia pacific journal of information systems
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    • v.20 no.3
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    • pp.139-166
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    • 2010
  • The supply chain management (SCM) systems have emerged as strong managerial tools for manufacturing firms in enhancing competitive strength. Despite of large investments in the SCM systems, many companies are not fully realizing the promised benefits from the systems. A review of literature on adoption, implementation and success factor of IOS (inter-organization systems), EDI (electronic data interchange) systems, shows that this issue has been examined from multiple theoretic perspectives. And many researchers have attempted to identify the factors which influence the success of system implementation. However, the existing studies have two drawbacks in revealing the determinants of systems implementation success. First, previous researches raise questions as to the appropriateness of research subjects selected. Most SCM systems are operating in the form of private industrial networks, where the participants of the systems consist of two distinct groups: focus companies and vendors. The focus companies are the primary actors in developing and operating the systems, while vendors are passive participants which are connected to the system in order to supply raw materials and parts to the focus companies. Under the circumstance, there are three ways in selecting the research subjects; focus companies only, vendors only, or two parties grouped together. It is hard to find researches that use the focus companies exclusively as the subjects probably due to the insufficient sample size for statistic analysis. Most researches have been conducted using the data collected from both groups. We argue that the SCM success factors cannot be correctly indentified in this case. The focus companies and the vendors are in different positions in many areas regarding the system implementation: firm size, managerial resources, bargaining power, organizational maturity, and etc. There are no obvious reasons to believe that the success factors of the two groups are identical. Grouping the two groups also raises questions on measuring the system success. The benefits from utilizing the systems may not be commonly distributed to the two groups. One group's benefits might be realized at the expenses of the other group considering the situation where vendors participating in SCM systems are under continuous pressures from the focus companies with respect to prices, quality, and delivery time. Therefore, by combining the system outcomes of both groups we cannot measure the system benefits obtained by each group correctly. Second, the measures of system success adopted in the previous researches have shortcoming in measuring the SCM success. User satisfaction, system utilization, and user attitudes toward the systems are most commonly used success measures in the existing studies. These measures have been developed as proxy variables in the studies of decision support systems (DSS) where the contribution of the systems to the organization performance is very difficult to measure. Unlike the DSS, the SCM systems have more specific goals, such as cost saving, inventory reduction, quality improvement, rapid time, and higher customer service. We maintain that more specific measures can be developed instead of proxy variables in order to measure the system benefits correctly. The purpose of this study is to find the determinants of SCM systems success in the perspective of vendor companies. In developing the research model, we have focused on selecting the success factors appropriate for the vendors through reviewing past researches and on developing more accurate success measures. The variables can be classified into following: technological, organizational, and environmental factors on the basis of TOE (Technology-Organization-Environment) framework. The model consists of three independent variables (competition intensity, top management support, and information system maturity), one mediating variable (collaboration), one moderating variable (government support), and a dependent variable (system success). The systems success measures have been developed to reflect the operational benefits of the SCM systems; improvement in planning and analysis capabilities, faster throughput, cost reduction, task integration, and improved product and customer service. The model has been validated using the survey data collected from 122 vendors participating in the SCM systems in Korea. To test for mediation, one should estimate the hierarchical regression analysis on the collaboration. And moderating effect analysis should estimate the moderated multiple regression, examines the effect of the government support. The result shows that information system maturity and top management support are the most important determinants of SCM system success. Supply chain technologies that standardize data formats and enhance information sharing may be adopted by supply chain leader organization because of the influence of focal company in the private industrial networks in order to streamline transactions and improve inter-organization communication. Specially, the need to develop and sustain an information system maturity will provide the focus and purpose to successfully overcome information system obstacles and resistance to innovation diffusion within the supply chain network organization. The support of top management will help focus efforts toward the realization of inter-organizational benefits and lend credibility to functional managers responsible for its implementation. The active involvement, vision, and direction of high level executives provide the impetus needed to sustain the implementation of SCM. The quality of collaboration relationships also is positively related to outcome variable. Collaboration variable is found to have a mediation effect between on influencing factors and implementation success. Higher levels of inter-organizational collaboration behaviors such as shared planning and flexibility in coordinating activities were found to be strongly linked to the vendors trust in the supply chain network. Government support moderates the effect of the IS maturity, competitive intensity, top management support on collaboration and implementation success of SCM. In general, the vendor companies face substantially greater risks in SCM implementation than the larger companies do because of severe constraints on financial and human resources and limited education on SCM systems. Besides resources, Vendors generally lack computer experience and do not have sufficient internal SCM expertise. For these reasons, government supports may establish requirements for firms doing business with the government or provide incentives to adopt, implementation SCM or practices. Government support provides significant improvements in implementation success of SCM when IS maturity, competitive intensity, top management support and collaboration are low. The environmental characteristic of competition intensity has no direct effect on vendor perspective of SCM system success. But, vendors facing above average competition intensity will have a greater need for changing technology. This suggests that companies trying to implement SCM systems should set up compatible supply chain networks and a high-quality collaboration relationship for implementation and performance.

Molecular Cloning and High-Level Expression of Human Cytoplasmic Superoxide Dismutase Gene in Escherichia coli (사람의 세포질 Superoxide Dismutase 유전자의 클로닝과 대장균내에서의 대량발현에 관한 연구)

  • 이우길;김영호;양중익;노현모
    • Korean Journal of Microbiology
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    • v.28 no.2
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    • pp.91-97
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    • 1990
  • Complementary DNA (cDNA) coding for human cytoplasmic superoxide dismutase (SOD1) (superoxide: superoxide oxidoreductase E.C.1.15.1.1) was isolated from human liver cDNA library of $\lambda$gt11 by in situ plaque hybridization. The insery cDNA gas the 5' untranslational region (UTR) and 3'UTR of SOD1 gene. Polymerase Chain Reaction (PCR) method was used fro subcloning of SOD1 structural gene. Using synthetic sense strand primer (24mer) containing a start codon and antisense strand primer (24mer), SOD1 structural gene was selectively amplified. Amplified DNA was directly cloned into the HincII site of pUC19 plasmid. Insery cDNA was subcloned into M13 mp19 and sequenced by dideowy chain termination method with Sequenase. The nucleotide sequence of insert cDNA had an open reading frame (ORF) coding for 153 amino acid residues. The structural gene of cytoplasmic SOD was placed under the control of bacteriophage $\lambda P_{L}$ regulatory sequences, generating a highly efficient expression plasmid. The production of human SOD1 in E. coli cells was about 7% of total cellular proteins and recombinant human SOD1 possessed its own enzymatic acitivity.

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Analysis and Compensation of STO Effects in the Multi-band OFDM Communication System of TDM Reception Method (TDM 수신 방식의 멀티 대역 OFDM 통신 시스템에서 STO 특성 분석 및 보상)

  • Lee, Hui-Kyu;Ryu, Heung-Gyoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.5A
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    • pp.432-440
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    • 2011
  • For the 4th generation mobile communication, LTE-advanced system needs the broad frequency band up to 100MHz for providing the data rate of maximum 1Gpbs. However, it is very difficult to secure the broad frequency band in the current frequency allocation situation. So, carrier aggregation was proposed as the solution, in which several fragmented frequency bands are used at the same time. Basically, multiple parallel receivers are required to get the information data from the different frequency bands but this conventional multi-chain receiver system is very inefficient. Therefore, in this paper, we like to study the single chain system that is able to receive the multi-band signals in a single receiver based on the time division multiplexing (TDM) reception method. This proposed TDM receiver efficiently manage to receive the multi-band signals in time domain and handle the baseband signals with one DSP board. However, the serious distortion could be generated by the sampling timing offset (STO) in the TDM-based system. Therefore, we like to analyze STO effects in the TDM-based system and propose a compensation method using estimated STO. Finally, it is shown by simulation that the proposed method is appropriate for the single chain receiver and show good compensation performance.

A Design and Implementation of Reliability Analyzer for Embedded Software using Markov Chain Model and Unit Testing (내장형 소프트웨어 마르코프 체인 모델과 단위 테스트를 이용한 내장형 소프트웨어 신뢰도 분석 도구의 설계와 구현)

  • Kwak, Dong-Gyu;Yoo, Chae-Woo;Choi, Jae-Young
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.12
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    • pp.1-10
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    • 2011
  • As requirements of embedded system get complicated, the tool for analyzing the reliability of embedded software is being needed. A probabilistic modeling is used as the way of analyzing the reliability of a software and to apply it to embedded software controlling multiple devices. So, it is necessary to specialize that to embedded software. Also, existing reliability analyzers should measure the transition probability of each condition in different ways and doesn't consider reusing the model once used. In this paper, we suggest a reliability analyzer for embedded software using embedded software Markov chin model and a unit testing tool. Embedded software Markov chain model is model specializing Markov chain model which is used for analyzing reliability to an embedded software. And a unit testing tool has host-target structure which is appropriate to development environment of embedded software. This tool can analyze the reliability more easily than existing tool by automatically measuring the transition probability between units for analyzing reliability from the result of unit testing. It can also directly apply the test result updated by unit testing tool by representing software model as a XML oriented document and has the advantage that many developers can access easily using the web oriented interface and SVN store. In this paper, we show reliability analyzing of a example by so doing show usefulness of reliability analyzer.

A Built-In Self-Test Architecture using Self-Scan Chains (자체 스캔 체인을 이용한 Built-In Self-Test 구조에 관한 연구)

  • Han, Jin-Uk;Min, Hyeong-Bok
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.39 no.3
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    • pp.85-97
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    • 2002
  • STUMPS has been widely used for built-in self-test of scan design with multiple scan chains. In the STUMPS architecture, there is very high correlation between the bit sequences in the adjacent scan chains. This correlation causes circuits lower the fault coverage. In order to solve this problem, an extra combinational circuit block(phase shifter) is placed between the LFSR and the inputs of STUMPS architecture despite the hardware overhead increase. This paper introduces an efficient test pattern generation technique and built-in self-test architecture for sequential circuits with multiple scan chains. The proposed test pattern generator is not used the input of LFSR and phase shifter, hence hardware overhead can be reduced and sufficiently high fault coverage is obtained. Only several XOR gates in each scan chain are required to modify the circuit for the scan BIST, so that the design is very simple.

Ecosystem Health Diagnosis Using Integrative Multiple Eco-metric Model Approaches

  • Kim, Hyun-Mac;Choi, Ji-Woong;An, Kwang-Guk
    • Journal of Ecology and Environment
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    • v.36 no.1
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    • pp.73-83
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    • 2013
  • The object of this study was to evaluate lotic ecosystem health using multiple eco-metric approaches such as water chemistry diagnosis, physical habitat health evaluations, and biological integrity modeling at 100 streams of four major watersheds. For the study, eight chemical water quality parameters such as nutrients (N, P) and organic material were measured and 11-metric models of Qualitative Habitat Evaluation Index (QHEI) and multiple eco-metric health assessment model (MEHA) were applied to the four major watershed. Nutrient analysis of nitrogen (N) and phosphorus (P) in all watersheds indicated a eutrophic state depending on the locations of sampling streams. Physical habitat health, based on the QHEI model, averaged 114 (range: 56 - 194), judging as a "good condition" by the criteria of Plafkin et al. (1989). In addition, primary (H1 - H4), secondary (H5 - H7), and tertiary habitat metric variables (H8 - H11) were analyzed in relation to the physical habitat degradations. The plots of tolerant species ($P_{TS}$) and sensitive species ($P_{SS}$) to water quality showed that the proportions of $P_{TS}$ had positive linear functions with nutrients, and that the $P_{SS}$ had inverse linear relations with the chemical variables. The model of eco-metric health assessment showed that mean MEHA was 20.4, indicating a fair condition. Overall, our data suggest that water chemistry, based on nutrients and organic matter, directly modified the trophic structures in relation to food chain in the aquatic ecosystems, and then these directly influenced the compositions of tolerance/sensitive species, resulting in degradations of overall ecological health.

International Scoring System in Symptomatic Multiple Myeloma: Experience from a Tertiary Care Center

  • Sultan, Sadia;Irfan, Syed Mohammed;Parveen, Saira;Taufiq, Ufaq
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.4
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    • pp.2031-2033
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    • 2016
  • Background: Symptomatic multiple myeloma (MM) is an acquired B-cell malignant proliferation of antibody secreting plasma cells, characterized by end organ damage due to monoclonal immunoglobulin secretion. The aim of this study wa to determine the stage stratification according to an international scoring system in adult Pakistani MM patients at presentation. Materials and Methods: This single centre retrospective study extendedfrom January 2012 to December 2015. Data were retrieved from the departmental maintained records. Results: A total of 39 patients were diagnosed at our center with MM during the period of the study, 25 males and 14 females. Age ranged between 36 and 81 with a mean of $54.5{\pm}14.8$ and a median of 57 years. Common presenting complaints included fatigue (80.9%), backache (79.3%) and bone pain (66.2%). Overall, 9 patients were in ISS stage I (23%), 12 were in stage II (30.7%) and 18 were in stage III (46.1%). Out of the total, 29 (74.3%) had kappa immunoglobulin andthe remaining 10 (25.6%) had lambda type myelomas. IgG myeloma was commonest, seen in 26 (66.6%) followed by IgA in 11 (28.2%) with non secretory myeloma in one (2.5%) and light chain disease also in one patient (2.5%). Conclusions: MM in Pakistani patients is seen in a relatively young population with male predominance. Primarily patients are symptomatic and risk stratification revealed a predominance of advanced stage III disease in our setting.

A Child of Severe Mycoplasma pneumoniae pneumonia with Multiple Organ Failure Treated with ECMO and CRRT

  • Hwang, Woojin;Lee, Yoonjin;Lee, Eunjee;Lee, Jiwon M.;Kil, Hong Ryang;Yu, Jae Hyeon;Chung, Eun Hee
    • Pediatric Infection and Vaccine
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    • v.26 no.1
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    • pp.71-79
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    • 2019
  • Mycoplasma pneumoniae (MP) is the most common causative agent of community-acquired pneumonia in school-aged children. An 8-year-old boy who had been diagnosed with autism looked severely ill when he presented to our hospital due to dyspnea and lethargy. He had fever and cough 7 days prior to hospitalization. He had signs and symptoms of severe respiratory distress. The percutaneous oxygen saturation was 88% at high oxygen supply. Chest radiography showed diffusely increased opacity with moderate pleural effusion. He was intubated immediately and admitted to the intensive care unit. Under the clinical impression of mycoplasmal pneumonia, intravenous clarithromycin was started. Laboratory findings showed leukocytosis, hepatitis, decreased renal function, and presence of serum MP immunoglobulin (Ig) M (+) IgG (+) and sputum MP polymerase chain reaction (+). On hospital day 2, the patient developed multiple organ failure with acute respiratory distress syndrome (ARDS). Veno-venous extracorporeal membrane oxygenation (ECMO) was performed with continuous renal replacement therapy (CRRT) and was weaned successfully. This is the first reported case of an ARDS due to MP infection complicated by multiple organ failure that was successfully treated with ECMO and CRRT in South Korea.