• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.5
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• pp.151-168
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• 2022

Nowadays companies are required to achieve social goals beyond maximizing shareholder profits. Accordingly, it is important to pursue both the economic and social goals of a company at the same time. Thus the importance of hybrid organizations is increasing theoretically and practically. In particular, since hybrid organizations essentially have the complexity of pursuing both economic and social purposes, the institutional demands of various stakeholders surrounding hybrid organizations are also conflicting. Several previous studies have considered how hybrid organizations respond to these conflicting institutional demands, but most studies are limited to studying at a specific point in time. As a result, there was a limit to analyzing the dynamics in response to conflicting institutional demands as the hybrid organization expanded its business. This study predicted that the hybrid organization would take selective coupling with conflicting institutional demands and that the process of responding to institutional demands would change according to the organization's growth. In this study, we had a case study about Noul and Enuma, social ventures that operate relatively advanced business models with outstanding results in innovation and technology. As a result, social ventures show a selective coupling for conflicting institutional demands, and the selective coupling process changes as their business model are advanced. Specifically, in the early stages of the business, it appears to respond to economic and social demands at the same time with a single business model. When the business is advanced, two or more business models are operated, some of which respond to economic needs and some of which respond to social needs. In the early stages of business, social ventures respond to economic and social demands with a single business model to gain legitimacy and survive in the institutional demands. But when they enter the business growth period, they try to separate business models which respond to economic and social values because they pursue sustainable growth and challenge large-scale missions. Overall, this study attempted to contribute to an in-depth understanding of hybrid organizations by identifying that the method of responding to conflicting institutional demands varies depending on the growth process of social ventures.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.10
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• pp.4948-4967
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• 2017

On mobile devices, image sequences are widely used for multimedia applications such as computer vision, video enhancement, and augmented reality. However, the real-time processing of mobile devices is still a challenge because of constraints and demands for higher resolution images. Recently, heterogeneous computing methods that utilize both a central processing unit (CPU) and a graphics processing unit (GPU) have been researched to accelerate the image sequence processing. This paper deals with various optimizing techniques such as parallel processing by the CPU and GPU, distributed processing on the CPU, frame buffer object, and double buffering for parallel and/or distributed tasks. Using the optimizing techniques both individually and combined, several heterogeneous computing structures were implemented and their effectiveness were analyzed. The experimental results show that the heterogeneous computing facilitates executions up to 3.5 times faster than CPU-only processing.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.11a
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• pp.38-45
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• 2006

To be competitive, long-range planning and customer satisfaction must be integrated into the company's strategic management objectives. In order to deal with this challenge, an organization must develop an effective marketing policy. It should take into consideration the needs and demands of customers and business strategy. Many companies want to develop a strategic planning framework for policy marketing. And they think that an effective marketing policy must be based on the principles of quality attributes and customer orientation. This paper proposes an integrated approach Kano Analysis, quality function deployment, Potential Customer Satisfaction Index to choose strategic marketing.

• Journal of Mushroom
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• v.15 no.1
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• pp.1-7
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• 2017

Hydrophobins are surface active proteins that are produced by filamentous fungi including mushrooms. Their ability to self-assemble into an amphipathic membrane at any hydrophilic-hydrophobic interface is most intriguing. These small secreted proteins comprise of eight conserved cysteine residues which form four disulfide bridges and an extraordinary hydrophobic patch. Hydrophobins play critical roles in fungal (and/or mushrooms) growth as structural components and in the interaction of fungi and mushrooms with the environment. The biophysical and biochemical properties of the isolated proteins are remarkable, such as strong adhesion, high surface activity and the formation of various self-assembled structures. With the increasing demands of hydrophobins from fungi and mushroom sources, production and purification in large scale is under challenge. Various applications, ranging from food industries, cosmetics, nanotechnology, biosensors and electrodes, to biomaterials and pharmaceuticals are emerging and a bright future is foreseen.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.76-92
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• 1996

In China, agricultural mechanization has played a remarkable, role in development of agricultural economy. This paper introduces briefly the contribution of agricultural mechanization to agricultural production , the level of mechanization , sciences and research , industry of farm machinery etc., at present. From macro view , aim at year 2000 , the prospects based on estimation concerned with the developing tendency , market demands, research fields are presented . The development of agricultural mechanization in China depends on many factors, in coming years, chance and challenge are coexistent. It wall take a long time for China to realize farm mechanization.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.2840-2853
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• 2015

A major challenge in network service providers is to provide adequate resources in service level agreements based on forecasts of future demands. In this paper, we address the problem of capacity provisioning in a network subject to demand uncertainty such that a network coded multicast is applied as the data delivery mechanism with limited budget to purchase extra capacity. We address some particular type of uncertainty sets that obtain a tractable constrained capacity provisioning problem. For this reason, we first formulate a mathematical model for the problem under uncertain demand. Then, a robust optimization model is proposed for the problem to optimize the worst-case system performance. The robustness and effectiveness of the developed model are demonstrated by numerical results. The robust solution achieves more than 10% reduction and is better than the deterministic solution in the worst case.

• Proceedings of the Korean Powder Metallurgy Institute Conference
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• 2006.09b
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• pp.747-749
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• 2006

SMS Meer GmbH, formerly Mannesmann and today part of the SMS Group, has been building powder presses since the early 1950s. The patents developed here in this field have long since documented the pioneering work carried out for the PM industry. The paper focuses on the challenge of reconciling the contradictory demands in the production of highly complex and crack-free PM parts. The process employed with the patented Controlled Punch Adapter (CPA) [1] counters possible cracking reliably and directly at the source. In this way is it possible to develop new and highly complex parts to series production maturity in a minimum of time even without simulation of the press cycle [2]. The quality data achieved in the production series, almost 100% crack and micro crack-free green parts with optimum density distribution over all press levels is unrivalled and thus gives the user a clear lead over the competition.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.516-521
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• 2005

The challenge for companies is to bring to the market a stream of new and improved, added-value, products and services that enable the business to achieve higher margins and thus profits to re-invest in the business. Especially in these days, railway industry has met the competitive challenges of new transportation technologies or the demands of new passenger transportation needs with a spirit of innovation and change that has reshaped the business several times over the course of the century. Like other railway organization, KR-network business is committed to optimising long term performance for its clients in terms of safety, reliability and profitability.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2005.10a
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• pp.96-99
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• 2005

One of the characteristics of contemporary interior design is the prominence of material and its challenge to the established concept of interior design. As material has risen to the new element of design, losing its old concept as something secondary surrounding space, it had become an useful instrument to create unique images as well as to express the paradigm of space that modern society demands. The active role of material has made itself one of the primary elements that make a difference in design. Particularly in commercial spaces where sales are important and attractive spaces are needed, material has been emergent conveying its appling to consumers. Therefore, this study analyses the materiality that material has and its characteristics represented as images in commercial spaces. With the analysis, it researches further into the unlimited possibility of material and show the way for modern interior design to head for.

• Journal of Positioning, Navigation, and Timing
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• v.10 no.1
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• pp.49-54
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• 2021

Indoor positioning system becomes of increasing interests due to the demands for accurate indoor location information where Global Navigation Satellite System signal does not approach. Wi-Fi access points (APs) built in many construction in advance helps developing a Wi-Fi Received Signal Strength Indicator (RSSI) based indoor localization. This localization method first collects pairs of position and RSSI measurement set, which is called fingerprint database, and then estimates a user's position when given a query measurement set by comparing the fingerprint database. The challenge arises from nonlinearity and noise on Wi-Fi RSSI measurements and complexity of handling a large amount of the fingerprint data. In this paper, machine learning techniques have been applied to implement Wi-Fi based localization. However, most of existing indoor localizations focus on single position estimation. The main contribution of this paper is to develop multi-target localization by using deep neural, which is beneficial when a massive crowd requests positioning service. This paper evaluates the proposed multilocalization based on deep learning from a multi-story building, and analyses its learning effect as increasing number of target positions.