• Title/Summary/Keyword: idea platform

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A Case Study on Freshcode for the Food Online Platform Business: A Focus on the Lean Start-Up (푸드 온라인 플랫폼 비즈니스 프레시코드 사례: 린 스타트업 방식을 중심으로)

  • Kim, Cha Young;Park, Cheol
    • Journal of Information Technology Services
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    • v.20 no.5
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    • pp.89-104
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    • 2021
  • Food delivery service combined with IT technology and HMR (Home Meal Replacement) are rapidly growing due to the COVID-19. Recently, the demand for salads along with HMR has increased among office workers in their 20s and 30s who are interested in health and beauty. Freshcode is a food startup with 6 years of experience that started selling salad products through O2O service. Freshcode applied for a patent for a service that collects orders from nearby areas and delivers them on the same day to a designated delivery address 'FCOSPOT' to save shipping costs. In March 2021, in recognition of the growth potential of the regular delivery service, Freshcode received an investment of 6 billion won in Series A. This study may have practical implications to early-stage startups and scale-up stage startups through a longitudinal case study on the growth of a single company. As for the research method, the lean startup methodology and lean canvas were used in the early stage of startup. In particular, the process of the build-measure and learn feedback-loop, which is the core of lean startup methodology, was applied to each major decision-making step. In the scale-up stage after 5 years, the business model canvas was used to schematize the growth as a food online O2O platform to verify continuous innovation. This case study has three main findings. First, the idea of 'FCOSPOT' was successfully implemented through the Lean Startup methodology. Second, Freshcode demonstrated the scalability of the differentiated business model of shared base delivery O2O. Third, a key factor of success was the digital integrated communication operation strategy that maximizes the experience for the created customers.

A novel prismatic-shaped isolation platform with tunable negative stiffness and enhanced quasi-zero stiffness effect

  • Jing Bian;Xuhong Zhou;Ke Ke;Michael C.H. Yam;Yuhang Wang;Zi Gu;Miaojun Sun
    • Smart Structures and Systems
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    • v.31 no.3
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    • pp.213-227
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    • 2023
  • A passive prismatic-shaped isolation platform (PIP) is proposed to realize enhanced quasi-zero stiffness (QZS) effect. The design concept uses a horizontal spring to produce a tunable negative stiffness and installs oblique springs inside the cells of the prismatic structure to provide a tunable positive stiffness. Therefore, the QZS effect can be achieved by combining the negative stiffness and the positive stiffness. To this aim, firstly, the mathematical modeling and the static analysis are conducted to demonstrate this idea and provide the design basis. Further, with the parametric study and the optimal design of the PIP, the enhanced QZS effect is achieved with widened QZS range and stable property. Moreover, the dynamic analysis is conducted to investigate the vibration isolation performance of the proposed PIP. The analysis results show that the widened QZS property can be achieved with the optimal designed structural parameters, and the proposed PIP has an excellent vibration isolation performance in the ultra-low frequency due to the enlarged QZS range. Compared with the traditional QZS isolator, the PIP shows better performance with a broader isolation frequency range and stable property under the large excitation amplitude.

Irregular Bigdata Analysis and Considerations for Civil Complaint Based on Design Thinking (비정형 빅데이터 분석 및 디자인씽킹을 활용한 민원문제 해결에 대한 고찰)

  • Kim, Tae-Hyung;Park, Byung-Jae;Suh, Eung-Kyo
    • The Journal of Industrial Distribution & Business
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    • v.9 no.8
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    • pp.51-60
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    • 2018
  • Purpose - Civil affairs are increasing in various forms, but civil servants who are able to handle them want to reduce the complaints and provide keywords that will help in the future due to their lack of time. While various ideas are presented and implemented as policies in solving civil affairs, there are many cases that are not policies that people can sympathize with. Therefore, it is necessary to analyze the complaints accurately and to present correct solutions to the analyzed civil complaint data. Research design, data, and methodology - We analyzed the complaints data for the last three years and found out how to solve the problems of Yongin City and alleviate the burdens of civil servants. To do this, the Hadoop platform and Design Thinking process were reviewed, and proposed a new process to fuse it. The big data analysis stage focuses on civil complaints - Civil data extraction - Civil data analysis - Categorization of the year by keywords analyzing them and the needs of citizens were identified. In the forecast analysis for deriving insights, - The case of innovation case study - Idea derivation - Idea evaluation - Prototyping - Case analysis stage used. Results - Through this, a creative idea of providing free transportation cards to solve the major issues of construction, apartment, installation, and vehicle problems was discovered. There is a specific problem of how to provide these services to certain areas, but there is a pressing need for a policy that can contribute as much as it can to the citizens who are suffering from various problems at this moment. Conclusions - In the past, there were many cases in which free traffic cards were issued mainly to the elderly or disabled. In other countries, foreign residents of other area visit the areas for accommodation, and may give out free transportation cards as well. In this case, the local government will be able to set up a framework to present with a win-win scenario in various ways. It is necessary to reorganize the process in future studies so that the actual solution will be adopted, reduce civil complaints, help establish policies in the future, and be applied in other cities as well.

RHadoop platform for K-Means clustering of big data (빅데이터 K-평균 클러스터링을 위한 RHadoop 플랫폼)

  • Shin, Ji Eun;Oh, Yoon Sik;Lim, Dong Hoon
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.3
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    • pp.609-619
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    • 2016
  • RHadoop is a collection of R packages that allow users to manage and analyze data with Hadoop. In this paper, we implement K-Means algorithm based on MapReduce framework with RHadoop to make the clustering method applicable to large scale data. The main idea introduces a combiner as a function of our map output to decrease the amount of data needed to be processed by reducers. We showed that our K-Means algorithm using RHadoop with combiner was faster than regular algorithm without combiner as the size of data set increases. We also implemented Elbow method with MapReduce for finding the optimum number of clusters for K-Means clustering on large dataset. Comparison with our MapReduce implementation of Elbow method and classical kmeans() in R with small data showed similar results.

Development of a Mobile App Combining React Native and Unity3D for Chromakey-based Image Composition (React Native와 Unity3D를 활용한 크로마키 기반 이미지 합성 모바일 앱 개발)

  • Kim, Seung-Jun;Seo, Beom-Joo;Cho, Sung-Hyun
    • Journal of Korea Game Society
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    • v.20 no.4
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    • pp.11-20
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    • 2020
  • In the rapidly changing mobile app market, it is crucial to develop a good idea quickly and receive its market evaluation. For a small-sized company, however, it is very challenging to rapidly develop and deploy their products in response to highly fragmented mobile environments. This article demonstrates that our integrated development environment using both React Native and Unity3D when developing a mobile app achieves a high level of functionality and performance requirements successfully. Moreover, this integrated environment helps reduce development costs and shorten development time.

Scalable Application Mapping for SIMD Reconfigurable Architecture

  • Kim, Yongjoo;Lee, Jongeun;Lee, Jinyong;Paek, Yunheung
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.15 no.6
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    • pp.634-646
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    • 2015
  • Coarse-Grained Reconfigurable Architecture (CGRA) is a very promising platform that provides fast turn-around-time as well as very high energy efficiency for multimedia applications. One of the problems with CGRAs, however, is application mapping, which currently does not scale well with geometrically increasing numbers of cores. To mitigate the scalability problem, this paper discusses how to use the SIMD (Single Instruction Multiple Data) paradigm for CGRAs. While the idea of SIMD is not new, SIMD can complicate the mapping problem by adding an additional dimension of iteration mapping to the already complex problem of operation and data mapping, which are all interdependent, and can thus significantly affect performance through memory bank conflicts. In this paper, based on a new architecture called SIMD reconfigurable architecture, which allows SIMD execution at multiple levels of granularity, we present how to minimize bank conflicts considering all three related sub-problems, for various RA organizations. We also present data tiling and evaluate a conflict-free scheduling algorithm as a way to eliminate bank conflicts for a certain class of mapping problem.

An Efficient Attitude Reference System Design Using Velocity Differential Vectors under Weak Acceleration Dynamics

  • Lee, Byungjin;Yun, Sukchang;Lee, Hyung-Keun;Lee, Young Jae;Sung, Sangkyung
    • International Journal of Aeronautical and Space Sciences
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    • v.17 no.2
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    • pp.222-231
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    • 2016
  • This paper proposes a new method achieving computationally efficient attitude reference system for low cost strapdown sensors and microprocessor platform. The main idea in this method is to define and compare velocity differential vectors, geometrically computed from INS and GPS data with different update rate, for generating attitude error measurements which is further used for filter construction. A quaternion based Kalman filter configuration is applied for the attitude estimation with the adapted measurement model of differential vector comparison. Linearized model for Extended Kalman Filter and low pass filtered characteristics of measurement greatly extend the affordability of the proposed algorithm to the field of simple low cost embedded systems. For performance verification, experiment are done employing a practical low cost MEMS IMU and GPS receiver specification. Performance comparison with a high grade navigation system demonstrated good estimation result.

Educational UCC Development and Knowledge Creation Strategy in Web 2.0 (Web2.0환경의 교육적 UCC 개발과 지식창출방안에 관한 연구)

  • JUNG, Ju-Young;Ahn, Young-Sik
    • Journal of Fisheries and Marine Sciences Education
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    • v.21 no.4
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    • pp.543-555
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    • 2009
  • The characteristic of Web 2.0 is openness, participation, share, cooperation and creation. The purpose of this article was to identify learner based knowledge creation strategy through UCC in Web 2.0, to develop UCC by university students and to make systematic UCC process. This article suggested knowledge creation strategy with UCC learning Community of Practice(CoP). UCC was developed by 25 students who registered e-learning in "P" university and conducted interview with students and experts to analyze the contents which related with research questions. Systematic process for developing educational UCC was consisted of sectors such as idea creation, design, development, implementation and evaluation. Main developing process steps were as follows: making subject$\rightarrow$seeking information$\rightarrow$selecting data$\rightarrow$designing contents$\rightarrow$making story board$\rightarrow$planning of filming$\rightarrow$filming$\rightarrow$digitalizing$\rightarrow$editing$\rightarrow$reviewing final product$\rightarrow$implementing$\rightarrow$evaluating. For learner based knowledge creation through UCC, educational institutions have to provide platform for learners' need, and learners create diverse ideas with UCC CoP. This article suggested knowledge creation strategy with sharing collective intelligence through process of UCC design, development, implement and evaluation.

Dynamic characteristics and fatigue damage prediction of FRP strengthened marine riser

  • Islam, A.B.M. Saiful
    • Ocean Systems Engineering
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    • v.8 no.1
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    • pp.21-32
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    • 2018
  • Due to the escalation in hydrocarbon consumption, the offshore industry is now looking for advanced technology to be employed for deep sea exploration. Riser system is an integral part of floating structure used for such oil and gas extraction from deep water offering a system of drill twines and production tubing to spread the exploration well towards the ocean bed. Thus, the marine risers need to be precisely employed. The incorporation of the strengthening material, fiber reinforced polymer (FRP) for deep and ultra-deep water riser has drawn extensive curiosity in offshore engineering as it might offer potential weight savings and improved durability. The design for FRP strengthening involves the local design for critical loads along with the global analysis under all possible nonlinearities and imposed loadings such as platform motion, gravity, buoyancy, wave force, hydrostatic pressure, current etc. for computing and evaluating critical situations. Finite element package, ABAQUS/AQUA is the competent tool to analyze the static and dynamic responses under the offshore hydrodynamic loads. The necessities in design and operating conditions are studied. The study includes describing the methodology, procedure of analysis and the local design of composite riser. The responses and fatigue damage characteristics of the risers are explored for the effects of FRP strengthening. A detail assessment on the technical expansion of strengthening riser has been outlined comprising the inquiry on its behavior. The enquiry exemplifies the strengthening of riser as very potential idea and suitable in marine structures to explore oil and gas in deep sea.

Technological Tendency for 2D Image Code and Its Recognition on Mobile Phone (휴대전화의 2D 이미지코드 인식 기술동향)

  • Park, Jong-Man;Park, Jong-Kyu
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.6B
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    • pp.663-673
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    • 2011
  • Applications of two dimensional image codes like QR and color code on mobile phone are spreading widely and in lieu of that, better decoding technology and platform designs are required. Futhermore "Bokode" technology which recognizes the defocus-blur image information from imperceptible visual tiny code on ordinary digital camera has been announced newly. There is an urgent need for competitive strategies to activate 2D image code industry and R&D under smart environment. This paper focused on suggesting valuable idea and practical task through investigation and analysis required for supporting of thus strategy construction. Description consist of introduction, technological tendency for R&D, patent and market, implementation task, conclusion and suggestion.