• International conference on construction engineering and project management
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• 2022.06a
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• pp.304-311
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• 2022

Construction inspection is a crucial stage that ensures that all contractual requirements of a construction project are verified. The construction inspection capabilities among state highway agencies have been greatly affected due to budget reduction. As a result, efficient inspection practices such as risk-based inspection are required to optimize the use of limited resources without compromising inspection quality. Automated prioritization of textual requirements according to their criticality would be extremely helpful since contractual requirements are typically presented in an unstructured natural language in voluminous text documents. The current study introduces a novel model for predicting the risk level of requirements using machine learning (ML) algorithms. The ML algorithms tested in this study included naïve Bayes, support vector machines, logistic regression, and random forest. The training data includes sequences of requirement texts which were labeled with risk levels (such as very low, low, medium, high, very high) using the fuzzy logic systems. The fuzzy model treats the three risk factors (severity, probability, detectability) as fuzzy input variables, and implements the fuzzy inference rules to determine the labels of requirements. The performance of the model was examined on labeled dataset created by fuzzy inference rules and three different membership functions. The developed requirement risk prediction model yielded a precision, recall, and f-score of 78.18%, 77.75%, and 75.82%, respectively. The proposed model is expected to provide construction inspectors with a means for the automated prioritization of voluminous requirements by their importance, thus help to maximize the effectiveness of inspection activities under resource constraints.

• Journal of Distribution Science
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• v.19 no.5
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• pp.35-48
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• 2021

Purpose: This research aims to analyze the influence of relational penetration capability on salesperson performance and the influence of customer orientation, customer knowledge accessibility, and salesperson-customer relationship quality on the relational penetration capability of the insurance service industry in Central Java. Research design, data, and methodology: This explanatory research involved 211 respondents. Path analysis was used to analyze the primary data obtained. Results: The customer orientation positively influences relational penetration capability and customer knowledge accessibility which can improve salesperson performance. The salesperson-customer relationship quality shows a positive impact on the salesperson's relational penetration capability, salesperson performance, and relational penetration capability which will lead to an improved salesperson-customer relationship. Higher knowledge levels of customer necessity have important implications for a salesperson's capability of finding potential customers and of fulfilling customers' requirements through careful analysis of necessity. Conclusions: The salespeople should be capable of building and maintaining a good relationship with their customers as an indication that salespeople of Insurance Service Company Distribution in Central Java have good performance.

• Korean Journal of Computational Design and Engineering
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• v.17 no.3
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• pp.164-174
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• 2012

The recent introduction of BIM technology has raised the interest on the BIM quality assurance and management more than ever. This study aims to consider the ways of BIM quality improvement by analyzing the most frequent issues rising from multiple BIM projects. For this purpose, the 12 test models from BIM education program hosted by buildingSMART Korea are investigated based on the requirements in the public BIM guidelines. All the BIM issues generated are categorized by the criteria applied and analyzed for each kind of building element. The results showed that more than half of the issued at least could be cleared out by improving modeling habits and technical guides.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.52
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• pp.247-260
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• 1999

Korean small and medium industrial company might be better if we make continuous effect to improve the quality activities based on the factors which are presented in this paper. The adaptation of ISO 9000 has brought about some significant positive effects to domestic quality systems. However, some negative results occurred in domestic industries' rushing to fulfill the requirements of these new quality systems. This study is conducted using the data collected from 153 manufacturing companies. The primary objective of this research is to provide the efficient implementation process of ISO 9000 certification on the basis of total quality management. This analysis is able to apply for domestic industrial company to establish and maintain the development of quality systems.

• Proceedings of the CALSEC Conference
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• 1999.11a
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• pp.85-92
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• 1999

The current R＆B system has a lot of problems caused by complexity of the system and lack of IDE concept among the related offices and organizations. IDE concept is building Integrated database with data which applied standards and digitalized. So R＆D CALS system should be established for the related offices and organizations can use data which created during R＆D life-cycle in IDE. In this paper, I suggested system requirements and system quality factors for building IDE based upon SSS form.

• Journal of Industrial Convergence
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• v.18 no.2
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• pp.95-100
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• 2020

Among the customer-oriented data used to comprehend the customer, the user review data has received much attention as it provides insights into customer opinion in a detailed and large-scale manner; many customers have come to rely upon and trust the user reviews. Many application developers are cognizant of the importance of user reviews, so they monitor and respond to these reviews. However, due to the absence of a systematic method, developers have been investing their time and money without clear correlation to the customer satisfaction. Therefore, this paper suggests a systematic method to select user reviews from the application market using the Kano Model that deals with customer satisfaction and service quality, thereby maximizing the customer satisfaction under the given time period and budget. This method is constructed in the following phases: the user review collection and requirement elicitation phase in which the developers collect user reviews from the application market and elicit requirements, the Kano Model application and selection phase in which the Kano Model is applied to the elicited requirements and selection occurs based on the quality type, and the stakeholder review and redefinition phase in which relevant personnel gather to review and redefine requirements from an internal perspective.

• Journal of Internet Computing and Services
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• v.5 no.6
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• pp.11-20
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• 2004

Proportional Fair (PF) share policy has been adopted as a downlink scheduling scheme in CDMA2000 l×EV-DO standard. Although It offers optimal performance in aggregate throughput conditioned on equal time share among users, it cannot provide a bandwidth guarantee and a strict delay bound. which is essential requirements of real-time (RT) applications. In this study, we propose a new scheduling policy that provides quality-of-service (QoS) guarantees to a variety of traffic types demanding diverse service requirements. In our policy data traffic is categorized Into three classes, depending on sensitivity of Its performance to delay or throughput. And the primary components of our policy, namely, Proportional Fair (PF), Weighted Fair Queuing (WFQ), and delay-based prioritized scheme are intelligently combined to satisfy QoS requirements of each traffic type. In our policy all the traffic categories run on the PF policy as a basis. However the level of emphasis on each of those ingredient policies is changed in an adaptive manner by taking into account the channel conditions and QoS requirements. Such flexibility of our proposed policy leads to offering QoS guarantees effectively and. at the same time, maximizing the throughput. Simulations are used to verify the performance of the proposed scheduling policy. Experimental results show that our proposal can provide guaranteed throughput and maximum delay bound more efficiently compared to other policies.

• JSTS:Journal of Semiconductor Technology and Science
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• v.17 no.3
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• pp.465-472
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• 2017

Security has become one of the most important requirements for various devices for multi-sensor based embedded systems. The AES (Advanced Encryption Standard) algorithm is widely used for security, however, it requires high computing power. In order to reduce the CPU power for the data encryption of images, we propose a new image encryption module using hardware memoization, which can reuse previously generated data. However, as image pixel data are slightly different each other, the reuse rate of the simple memoization system is low. Therefore, we further apply an approximate concept to the memoization system to have a higher reuse rate by sacrificing quality. With the novel technique, the throughput can be highly improved by 23.98% with 14.88% energy savings with image quality loss minimization.

• Journal of Korean Society for Atmospheric Environment
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• v.11 no.1
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• pp.15-28
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• 1995

Over the last two decades, air quality models have been developed and used in the United States. Many of these models ate distributed as parts of UNAMAP. These models have been used as useful tools for urban air quality management in Korea. However, when we use these models, many problems could be occured because of their different topographical and meteorological conditions. In the present study it is described that the characteristics about developement of the local scale diffusion models for application to Korea. Also for evaluation purpose of the models, input data requirements such as air pollutant concentrations, emission inventory, meteorological data, and field experiment data, were discussed.

• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.4
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• pp.497-507
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• 2018

Tactical networks are evolving into an All-IP based network for network centric warfare(NCW). Owing to the flexibility of IP based network, various military data applications including real-time and multi-media services are being integrated in tactical networks. Because each application has diverse Quality-of-service(QoS) requirements, it is crucial to develop a QoS provisioning method for guaranteeing QoS requirements efficiently. Conventionally, differentiated services(DiffServ) have been used to provide a different level of QoS for traffic flows. However, DiffServ is not designed to guarantee a specific requirement of QoS such as delay, loss, and bandwidth. Therefore, it is not suitable for military applications with a tight bound of QoS requirements. In this paper, we propose a multi-layer network virtualization scheme that allocates traffic flows having different QoS requirements to multiple virtual networks, which are constructed to support different QoS policies such as virtual network functions(VNFs), routing, queueing/active queue management(AQM), and physical layer policy. The experiment results indicate that the proposed scheme achieves lower delays and losses through multiple virtual networks having differentiated QoS policies in comparison with conventional networks.