• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1996년도 추계학술대회 학술발표 논문집
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• pp.302-305
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• 1996

In this paper, an optimal identification method using fuzzy-neural networks is proposed for modeling of nonlinear complex systems. The proposed fuzzy-neural modeling implements system structure and parameter identification using the intelligent schemes together with optimization theory, linguistic fuzzy implication rules, and neural networks(NNs) from input and output data of processes. Inference type for this fuzzy-neural modeling is presented as simplified inference. To obtain optimal model, the learning rates and momentum coefficients of fuzz-neural networks(FNNs) and parameters of membership function are tuned using genetic algorithm(GAs). For the purpose of its application to nonlinear processes, data for route choice of traffic problems and those for activated sludge process of sewage treatment system are used for the purpose of evaluating the performance of the proposed fuzzy-neural network modeling. The show that the proposed method can produce the intelligence model w th higher accuracy than other works achieved previously.

• 대한전자공학회논문지
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• 제27권1호
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• pp.1-9
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• 1990

This paper investigates the significance and the implication of the pointer scheme, which was recently adapted by CCITT as a standard synchronization method in the broadband network-node interface environment, and discusses the merits of the pointer scheme in comparison with the conventional positive justification method. It also analyzes the jitter performance of the communication system employing the pointer scheme based on the fact that the pointer scheme corresponds to a multiple-bit positive/zero/negative justification.

• Journal of Information Processing Systems
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• 제13권6호
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• pp.1527-1543
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• 2017

MiRNA is a biological short sequence, which plays a crucial role in almost all important biological process. MiRNA patterns are common sequence segments of multiple mature miRNA sequences, and they are of significance in identifying miRNAs due to the functional implication in miRNA patterns. In the proposed approach, the primary miRNA patterns are produced from sequence alignment, and they are then cut into short segment miRNA patterns. From the segment miRNA patterns, the candidate miRNA patterns are selected based on estimated probability, and from which, the potential miRNA patterns are further selected according to the classification performance between authentic and artificial miRNA sequences. Three parameters are suggested that bi-nucleotides are employed to compute the estimated probability of segment miRNA patterns, and top 1% segment miRNA patterns of length four in the order of estimated probabilities are selected as potential miRNA patterns.

• Asian Journal of Business Environment
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• 제11권4호
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• pp.39-45
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• 2021

Purpose: This study is designed to investigate the extent and nature of climate change disclosure of listed pharmaceutical companies of Bangladesh. Research design, data and methodology: In order to perform this research, a content analysis methodology is used. A climate change disclosure index is constructed to examine 12 different climate change disclosure issues. Information is collected from the annual reports of 29 pharmaceutical companies listed on the Dhaka Stock Exchange for the year 2019. Results: This study finds that only 48.28% of the sample companies provided disclosure on at least one issue regarding climate change. 'Energy savings' is the mostly disclosed issue whereas 'Pollution control expenditure', 'Biodiversity conservation initiatives' are the least disclosed issues. Research implication: This study concludes 64.29% of the companies examined, use less than five sentences for climate change disclosure, which depicts unsatisfactory disclosure practices regarding climate change issues. Study findings would be helpful for different industries of Bangladesh to implement efficient climate change reporting Practice. Future studies can be conducted on other industries to obtain more comprehensive result.

• International journal of advanced smart convergence
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• 제7권4호
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• pp.66-74
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• 2018

While new information technology advances have made information access and acquisition methods much more diverse and easier, there are side effects that allow illegal access using diverse and high-performance tools. In order to cope with such threats, there are access control methods in database technology, and various studies are being conducted to extend traditional access control to cope with new computing environments. In this paper, we propose an extended access control with uncertain context-awareness. It enables appropriate security policy enforcement even if the contextual constraints specified by the security policy does not match those accompanied by access request query. We extract semantic implications from context tree, and define the argument that can quantitatively measure the semantic difference between two nodes in the context tree. It is used to semantically enforce the security policy, and to prevent the excessive authorization caused by the implication.

• 공학교육연구
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• 제19권1호
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• pp.11-20
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• 2016

Team activities in engineering curriculum play the major role in nourishing students with problem-solving and team-working capabilities. Educators endeavor to guide students to achieve success experiences through team activities. The sense of success depends on how the students think and feel about team activities. In this study, we investigated the students thoughts on team activity in various aspects. We provided freshmen and juniors with a set of questionnaire and gathered answers, from which we tried to elicit implication that we may apply for coaching their team activities. The analysis result shows that the perception level of freshmen on team activities is less mature in a sense that the freshmen's view is more neutral than that of juniors. Regardless of the grade, they show that they put more emphasis on the team atmosphere than on the team performance. Especially the freshmen are more sensitive to the relationship between the team members than the juniors. The juniors concern more about whether they prepare well enough for the team activities or not. Both of the grades prefer self-regulation in team formation and think the leadership is essential in performing team activities. However, they both hesitate to take a role as a leader. We expect the research result will provide novel ideas for coaching students to obtain valuable experiences on team activities.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.147-157
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• 2020

In the accounting information system implementation, the users should consider the benefits and advantages of the system. This paper examines the effect of the Enterprise Resources Planning based (ERP-based) accounting information system implementation on user impact and organizational impact. The population in this study is companies listed on the Indonesian Stock Exchange, especially companies based in Riau, Indonesia. These companies currently use the ERP-based accounting information system. Research samples are employees who use the ERP-based accounting information system. For data analysis, we use structural equation modeling (SEM). Based on data analysis, high-quality information system implementation generate high-quality information that can give satisfaction to the user. Moreover, the information system is related to user skill, satisfaction, and knowledge sharing which improve personal skills; enhanced personal skill contributes to organizational performance. On the other hand, there is no effect of training on personal skills and there is no effect of information quality on perceived usefulness. This research gives implication to the organization for implementing a high-quality ERP-based accounting information system that positively impacts organizational performance. Future research is expected to examine information system implementation in different research objects and conditions.

• 한국건설순환자원학회논문집
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• 제8권1호
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• pp.56-63
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• 2020

The usage of OPC-free alkali activated ground granulated blast furnace slag(GGBS) mortar has been widely studied on the previous years, due to its advantages on sustainability, durability and workability. This paper brings a new view, aiming to classify the best application in situ for each mortar, according to the type and activator content. By this practical implication, more efficiency is achieved on the construction site and consequently less waste of materials. In order to compare the different activators, the following experiments were performed: analysis of compressive strength at 28 days, setting time measured by needles penetration resistance, analysis of total pore volume performed by MIP and permeability assessment by RCPT test. In general, activated GGBS had acceptable performance in all cases compared to OPC, and remarkable improved durability. Following the experimental results, it was confirmed that each activator and different concentrations impose distinct outcome performance to the mortar which allows the classification. It was observed that the activator Ca(OH)2 is the most versatile among the others, even though it has limited compressive strength, being suitable for laying mortar, coating/plaster, adhesive and grouting mortar. Samples activated with NaOH, in turn, presented in general the most similar results compared to OPC.

• 한국정보시스템학회지:정보시스템연구
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• 제19권3호
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• pp.105-126
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• 2010

Many organizations have spent huge investments on information systems (IS) but are unable to achieve the maximum benefits expected. The problem of system underutilization of implemented IS is a major factor that causes the lackluster returns on organizational investments in IS. In light of the need for solutions to underutilization, researchers are beginning to explore IS infusion to enhance task performance. IS infusion is the extent to which an individual fully uses the system to enhance his or her task performance. So far, there has yet to be any significant finding or theory to explain the phenomenon. Therefore this study offers a conceptual framework on IS infusion based on the socio-technical system perspective. Particularly, this study investigates the influence of job fit, task competence, technology competence, self-determination with technology and self-determination with task on IS infusion. The analysis following the collection of empirical data found that job fit and self-determination with technology are positively related to IS infusion. This study serves as a basis for future research and suggests important implication to managers and system designers in promoting IS infusion.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.701-706
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• 1998

A design method of rule -based fuzzy modeling is presented for the model identification of complex and nonlinear systems. The proposed rule-based fuzzy modeling implements system structure and parameter identification in the efficient form of " IF..., THEN,," statements. using the theories of optimization and linguistic fuzzy implication rules. The improved complex method, which is a powerful auto-tuning algorithm, is used for tuning of parameters of the premise membership functions in consideration of the overall structure of fuzzy rules. The optimized objective function, including the weighting factors, is auto-tuned for better performance of fuzzy model using training data and testing data. According to the adjustment of each weighting factor of training and testing data, we can construct the optimal fuzzy model from the objective function. The least square method is utilized for the identification of optimum consequence parameters. Gas furance and a sewage treatment proce s are used to evaluate the performance of the proposed rule-based fuzzy modeling.