• KIEAE Journal
• /
• v.11 no.2
• /
• pp.45-57
• /
• 2011

As climate change and environmental degradation become more evident, the public's concern and knowledge on sustainable development requires planners to have regards to social impacts and long term economic viability, as well as environmental impacts. The main objective of this study is to analyze existing sustainability assessment tools for single detached houses. The most widely used oversea tools are selected. From analysis on the existing assessment tools, "Impact Estimator" by Athena Institute, "Bees 4.0" by NIST, "CASBEE for Home" by JSBC, "Envest for Housing" by Energy Saving Trust, "LISA" by Center for Sustainable Technology, "SBTool" by iiSBE (International Initiative for Sustainable Built Environment), it can be seen that the current sustainability assessment programs are in need of much improvement. The selected programs are analyzed on scope of program setting & running, data input & output, assessment categories, and strength & weakness. This study is to supplement the existing sustainability assessment tools for single detached houses, and provide information for the development of web-based program to assist architects or home owners to plan sustainable houses in Korea in the schematic design stage.

• Journal of Information Technology Services
• /
• v.10 no.1
• /
• pp.21-34
• /
• 2011

Spam refers to any unwanted or unauthorized commercial messages. Spam may violate individuals' privacy or other personal rights. Spam often overloads network traffic, wastes individuals' time, lowers productivity and quality of life, and limits the trustworthiness of Internet businesses. As the use of mobile messaging services and social networking services both on mobile communication networks and on the Internet increase, newer and more complex types of IT applications and services are often used as new means of spam. In this research, the characteristics and impact of new and future forms of spam, and anti-spam related policies and regulations are surveyed. To improve the effectiveness of anti-spam policies and regulations in Korea, adding a definition of spam in the law, changing policies to focus on the 'type of services' rather on the medium of transmission, and redefining the scope of 'commercial purposes' in Korean law are suggested.

• Journal of Information Technology Services
• /
• v.5 no.1
• /
• pp.97-109
• /
• 2006

As software becomes more complex and its scope dramatically increases, the importance of research on developing methods for estimating software development efforts has been increased. Such accurate estimation has a prominent impact on the development projects. To develop accurate effort estimation models, many studies have been conducted among the academia and the practitioners. Out of the numerous methods, Constructive Cost Model (COCOMO) based on Line of Code (LOC), Regression Model based on Function Point (FP) were the most popular models in the past. As today's development environments are dynamically changing, these traditional methods do not work anymore. There is an impending need to develop an accurate estimation model which accommodates itself to the new environments. As a possible solution, this research proposes and evaluates an software development estimation model based on function points and neural networks.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.15 no.1
• /
• pp.61-66
• /
• 2019

FinTech has expanded to the extent that not only businesses but almost everyone can feel the impact. The spread of the scope of use has introduced a variety of new financial services that are changing the way we live. In these environments, it is important to develop reliable security measures to protect against cyber attacks. The number of mobile financial transactions in the financial sector is also increasing, making security vulnerable. In this study, we studied security through mutual authentication method that can safely handle financial security and focused on FinTech's security processing through multi-party mutual authentication method that strongly prevents leakage of information even in the event of continuous and sophisticated attacks.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2019.11a
• /
• pp.60-61
• /
• 2019

Concrete carbonation is one of the factors that reduce the durability of concrete. In modern times, due to industrialization, the carbon dioxide concentration in the atmosphere is increasing, and the impact of carbonation is increasing. So, it is important to understand the carbonation resistance according to the concrete compounding to secure the concrete durability life. In this study, we want to predict the concrete carbonation velocity coefficient, which is an indicator of the carbonation resistance of concrete, through the deep learning algorithm, and to find the activation function suitable for the prediction of carbonation rate coefficient as a process to determine the learning accuracy through the deep learning algorithm. In the scope of this study, using the ReLU function showed better accuracy than using other activation functions.

• SUVANNABHUMI
• /
• v.12 no.2
• /
• pp.201-224
• /
• 2020

The term Anthropocene encapsulates the idea that the human impact on earth has already reached the level of a geological force with catastrophic consequences, such as global warming or climate change. The envisioning of an apocalyptic future of the possible demise of the human race is central to this idea. This paper seeks to explore the implications of the Anthropocene on the very idea of history and area studies. Does the planetary scope of the Anthropocenic condition, and the concerted effort in the global scale in the need to address it, mean the end of area studies, which is premised on a particularity of an area? Is a posthumanist history feasible? If yes, how can it really help address the problem? Or, it will merely muddle the issues?

• Asia-Pacific Journal of Business
• /
• v.12 no.3
• /
• pp.271-280
• /
• 2021

Purpose - This research aims to investigate the influence of social exclusion on conspicuous consumption. Specifically this research suggested that the influence of social exclusion on conspicuous consumption would be different depending on consumers' psychological characteristics such as internal attribution tendency and self-esteem. Design/methodology/approach - The experiment was conducted to verify hypotheses. 110 sample data were collected from the experiment and SPSS PROCESS Macro was used for data analysis. Findings - The result revealed that the interaction effect of social exclusion and internal attribution was significant. Specifically, social exclusion had on positive impact on conspicuous consumption for consumers with high level of internal attribution tendency. In addition, conspicuous consumption was pronounced for consumers having both high level of internal attribution and low level of self-esteem. Research implications or Originality - The result is expected to expand the research scope on social exclusion and conspicuous consumption, and provide practical implications for marketers.

• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.417-424
• /
• 2009

For a construction project to progress smoothly, effective cost estimation is vital, particularly in the conceptual and schematic design stages. In these early phases, despite the fact that initial estimates are highly sensitive to changes in project scope, owners require accurate forecasts which reflect their supplying information. Thus, cost estimators need effective estimation strategies. Practically, parametric cost estimates are the most commonly used method in these initial phases, which utilizes historical cost data (Karshenas 1984, Kirkham 2007). Hence, compilation of historical data regarding appropriate cost variance governing parameters is a prime requirement. However, precedent practice of data mining (data preprocessing) for denoising internal errors or abnormal values is needed before compilation. As an effort to deal with this issue, this research proposed a statistical methodology for data preprocessing and verified that data preprocessing has a positive impact on the enhancement of estimate accuracy and stability. Moreover, Statistically Preprocessed data Based Parametric (SPBP) cost models are developed based on multiple regression equations and verified their effectiveness compared with conventional cost models.

• Journal of KIISE
• /
• v.42 no.3
• /
• pp.328-340
• /
• 2015

Software requirements are continuously changed for various reasons, consequently changes of software are inevitable. In the case of changes necessitated by changes in requirements, it is necessary to precisely predict the ripple effects of the changes for efficient management of the changes. This paper proposes the management method of traceability information, which can be applied in object-oriented development. Furthermore, we introduce the guidelines for prediction of the ripple effects of changes based on traceability information among artifacts composing a system. We identify traceability items for the essential artifacts which were composed of the object-oriented system, and define relationships among them. The purpose of the method proposed in this paper is to identify the scope of change precisely through the guidelines. These can then be used for tracing and analyzing the impact of the changes both the forward and backward looking, based on the relationships of traceability items.

• Journal of Korea Port Economic Association
• /
• v.31 no.1
• /
• pp.171-188
• /
• 2015

Logistics network has been increasingly acknowledged as one of the important driving force for economic development in China. With the scope of logistics effect broadening and the development of logistics infrastructure, both logistics network and economy in terms of GDP in China has experienced rapid development hand in hand. This paper investigates the relationship between logistics network and economic growth, using a dataset covering 31 provinces over the period from 2003 to 2012 in China. Factor analysis is applied to obtain a total evaluation of logistics function defining the impact of logistics network on the national economy growth. According to fixed effect panel data approach, a significant and positive impact of logistics network on economic growth in China is found, meanwhile, a comparative analysis regarding economic development between coastal provinces and interior provinces is also conducted. The results suggest that the impact of logistics network on economic growth is higher in eastern provinces than that in western provinces. The policy implication for other nations, in particular for developing nations, is logistics network should be regarded as an important driving force for economic development, and investment should be made in advance to achieve the best efficiency in economic development and planning.