• Korean Institute of Interior Design Journal
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• v.18 no.3
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• pp.84-92
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• 2009

Sociological, technical, and organizational changes have affected the culture of business in many ways. These changes are now encouraging new concepts in the workplace environment such as emotional approaches for a more creative and humanistic workplace let alone enhancing image of the company. The aim of this study is to understand current situations of common office areas and serve as a stepping stone for designing more creative and stimulating work environments. The study first examines concepts of new office designs in our modem society, then defines categories such as territorial fuzziness, eco-friendly, fun and play. Secondly, by using content analysis as research tool the researchers have investigated how the conceptual categories and detailed design presentation methods are shown in workplace designs in Korea. Scope of study is limited to 39 office design projects from 2002-2008 presented in the Korean monthly magazine 'Interiors'. As results. territorial fuzziness was found to be most popular method while play the least. For application wise, meeting rooms, rest area and hallways were places where these concepts appear the most. Even though, these new approaches in office designs can be found in our domestic offices, still more experimental and active approach seems to be needed.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.28 no.11
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• pp.1760-1767
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• 2004

Sequential sampling approaches of a metamodel that sampling points are updated sequentially become a significant consideration in metamodeling technique. Sequential sampling design is more effective than classical space filling design of all-at-once sampling because sequential sampling design is to add new sampling points by means of distance between sampling points or precdiction error obtained from metamodel. However, though the extremum points can strongly reflect the behaviors of responses, the existing sequential sampling designs are inefficient to approximate extremum points of original model. In this research, new sequential sampling approach using the sensitivity of Kriging model is proposed, so that new approach reflects the behaviors of response sequentially. Various sequential sampling designs are reviewed and the performances of the proposed approach are compared with those of existing sequential sampling approaches by using mean squared error. The accuracy of the proposed approach is investigated against optimization results of test problems so that superiority of the sensitivity approach is verified.

• Journal of the Ergonomics Society of Korea
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• v.30 no.1
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• pp.41-53
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• 2011

Objective: The purpose of this paper is to introduce new research trends of human error and accident modeling and to suggest future promising research directions in those areas. Background: Various methods and techniques have been developed to understand the nature of human errors, to classify them, to analyze their causes, to prevent their negative effects, and to use their concepts during design process. However, it has been reported that they are impractical and ineffective for modern complex systems, and new research approaches are needed to secure the safety of those systems. Method: Six different perspectives to study human error and system safety are explained, and then seven recent research trends are introduced in relation to the six perspectives. The implications of the new research trends and viable research directions based on them are discussed from a cognitive systems engineering point of view. Results: Traditional methods for analyzing human errors and identifying causes of accidents have critical limitations in complex systems, and recent research trends seem to provide some insights and clues for overcoming them. Conclusion: Recent research trends of human error and accident modeling emphasize different concepts and viewpoints, which include systems thinking, sociotechnical perspective, ecological modelling, system resilience, and safety culture. Application: The research topics explained in this paper will help researchers to establish future research programmes.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.31A no.8
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• pp.46-52
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• 1994

DC and AC current crowding effects for microwave and high speed bipolar transistors are investigated in detail using a new and accurate measurement technique based on Z-parameter equationa. Using the new measurement technique dc and ac current crowding effects have been explained clearly in bipolar junction transistors. To model ac crowding effects a capacitive element defined as base capacitance (C$_b$), called ac crowding capacitance is added to base resistance in parallel thereby treating the base resistance(R$_b$) as base impedance Z$_b$. It is shown that base resistance decreases with increasing collector current due to dc current crowding and approaches to a certain limited value at high collector current due to current crowding and approaches to a certain limited value at high collector currents regardless of the emitter size. It is also observed that due to ac current crowding base capacitance increases with increasing collector current. To quantigy the ac crowding effects for SPICE circuit simulation the base capacitance(C$_b$) including the base depletion and diffusion components has been modeled with an analytical expression form.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.321-328
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• 2019

The purpose of the study is to analyze the main approaches to assessing human capital and develop proposals for its most objective assessment of it at the different levels of manifestation - individual, microeconomic and macroeconomic. The article considers the basic approaches to the evaluation of human capital, used in practice: retrospective (costly) and prospective (income based). Cost based methods involve measuring the value of human capital based on the total costs associated with its formation. The proposed additional evaluation criteria, in particular, the use of the expert approach and the developed indicators of a qualitative assessment of the human capital of the enterprise will allow development that is more efficient and use of available human resources. Human capital is becoming a major factor in the formation and development of an innovative economy and knowledge economy. Accordingly, the proposed additions to the assessment of human capital at the country level are aimed at assessing it from a new angle, taking into account the current global trends in the formation of an innovative economy and digitalization. They meet qualitatively new requirements for human capital as the main productive factor in the creation of new highly efficient technologies that promote the active development of the social sphere, science, education, health, etc.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.286-293
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• 2021

Recently, the quick development rate of apps in the Android platform has led to an accelerated increment in creating malware applications by cyber attackers. Numerous Android malware detection tools have utilized conventional signature-based approaches to detect malware apps. However, these conventional strategies can't identify the latest apps on whether applications are malware or not. Many new malware apps are periodically discovered but not all malware Apps can be accurately detected. Hence, there is a need to propose intelligent approaches that are able to detect the newly developed Android malware applications. In this study, Radial Basis Function (RBF) networks are trained using known Android applications and then used to detect the latest and new Android malware applications. Initially, the optimal permission features of Android apps are selected using Information Gain Ratio (IGR). Appropriately, the features selected by IGR are utilized to train the RBF networks in order to detect effectively the new Android malware apps. The empirical results showed that RBF achieved the best detection accuracy (97.20%) among other common machine learning techniques. Furthermore, RBF accomplished the best detection results in most of the other measures.

• Journal of Distribution Science
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• v.10 no.4
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• pp.7-11
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• 2012

"Great things in business are never done by one person; they're done by a team of people." By Steve Jobs, 2003. As define by Linda Naiam - Creativity is the act of turning new and imaginative ideas into reality. Creativity involves two processes: thinking, then producing. Innovation is the production or implementation of an idea. If you have ideas, but don't act on them, you are imaginative but not creative. So in order to maintain the pace with the changing business scenario and coping with the competition Innovation and Creativity is considered a mandatory tool for a business to exist and grow in market. Whether a company is Employee centric or Business centric Innovation and creativity has to have its space in order to keep a business ahead of others in the Market. Also it's not just the competition which has led to the Innovation and Creativity in Business practices it's also the demanding chunk of consumers and customers who are aware and prefer maximum choices before making a final deal. Another reason as to why there is a change in business practices is the globalization of businesses where you need to rope in the Innovative ideas to launch and sustain in new market. There had been tremendous shift in business practices but to give a room to innovative ideas and implement that creativity need ample to space and vision along with an attitude where in you can resist for getting an immediate results from innovative business practices. Corporate Creativity is characterized by the ability to perceive the world in new ways, to find hidden patterns, to make connections between seemingly unrelated phenomena, and to generate solutions. Generating fresh solutions to problems, and the ability to create new products, processes or services for a changing market, are part of the intellectual capital that give a company its competitive edge. Creativity is a crucial part of the innovation equation. The innovation and creativity is not limited to any area of business, it can start from your waiting lounge to your board room meeting depending upon how the things are perceived and implemented for the betterment of people and business. The purpose of this research is to understand the latest creative business approaches and practices that organizations are following to be different from their competitors. Also this shift from generic business practices to the Innovative and Creative approach seems to take the business into new world. This approaches means starting from the bottom of the Pyramid and finally touching the pinnacles in Innovation and creativity. The paper will discuss on the various areas of business where in innovative approaches can be roped in and sets new bench mark altogether in the business arena.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.6
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• pp.2022-2042
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• 2014

The term "big data" has recently gained widespread attention in the field of information technology (IT). One of the key challenges in making use of big data lies in finding ways to uncover relevant and valuable information. The high volume, velocity, and variety of big data hinder the use of solutions that are available for smaller datasets, which involve the manual interpretation of data. Semantic computing technologies have been proposed as a means of dealing with these issues, and with the advent of linked data in recent years, have become central to mainstream semantic computing. This paper attempts to uncover the state-of-the-art semantics-based approaches and tools that can be leveraged to enrich and enhance today's big data. It presents research on the latest literature, including 61 studies from 2011 to 2014. In addition, it highlights the key challenges that semantic approaches need to address in the near future. For instance, this paper presents cutting-edge approaches to ontology engineering, ontology evolution, searching and filtering relevant information, extracting and reasoning, distributed (web-scale) reasoning, and representing big data. It also makes recommendations that may encourage researchers to more deeply explore the applications of semantic technology, which could improve the processing of big data. The findings of this study contribute to the existing body of basic knowledge on semantics and computational issues related to big data, and may trigger further research on the field. Our analysis shows that there is a need to put more effort into proposing new approaches, and that tools must be created that support researchers and practitioners in realizing the true power of semantic computing and solving the crucial issues of big data.

• Database Research
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• v.34 no.3
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• pp.99-123
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• 2018

Due to the ever expanding nature of the Web, separating more valuable information from the noisy data is getting more important. Although recommendation systems are widely used for addressing the information overloading issue, their performance does not seem meaningfully improved in currently suggested approaches. Hence, to investigate the issues, this study discusses different characteristics of popular, existing recommendation approaches, and proposes a new profiling technique that uses collaborative tags and test whether it successfully compensates the limitations of the existing approaches. In addition, the study also empirically evaluates rating/tagging patterns of users in various recommendation approaches, which include the proposed approach, to learn whether those patterns can be used as effective cues for improving the recommendations accuracy. Through the sensitivity analyses, this study also suggests the potential associated with a single recommendation system that applies multiple approaches for different users or items depending upon the types and contexts of recommendations.

• Interdisciplinary Bio Central
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• v.1 no.2
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• pp.6.1-6.4
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• 2009

We stand at the brink of a fundamental change in how medicine will be practiced. Over the next 5-20 years medicine will move from being largely reactive to being predictive, personalized, preventive and participatory (P4). Technology and new scientific strategies have always been the drivers of revolutions and this is certainly the case for P4 medicine, where a systems approach to disease, new and emerging technologies and powerful computational tools will open new windows for the investigation of disease. Systems approaches are driving the emergence of fascinating new technologies that will permit billions of measurements on each individual patient. The challenge for health information technology will be how to reduce this enormous amount of data to simple hypotheses about health and disease. We predict that emerging technologies, together with the systems approaches to diagnosis, therapy and prevention will lead to a down turn in the escalating costs of healthcare. In time we will be able to export P4 medicine to the developing world and it will become the foundation of global medicine. The "democratization" of healthcare will come from P4 medicine. Its first real emergence will require the unprecedented integration of biology, medicine, technology and computation. as well as societal issues of major importance: ethical, regulatory, public policy, economic, and others. In order to effectively move the P4 scientific agenda forward new strategic partnerships are now being created with the large-scale integration of complementary skills, technologies, computational tools, patient records and samples and analysis of societal issues. It is evident that the business plans of every sector of the healthcare industry will need to be entirely transformed over the next 10 years.and the extent to which this will be done by existing companies as opposed to newly created companies is a fascinating question.