• 제목/요약/키워드: AI competition

검색결과 58건 처리시간 0.026초

모바일페이사와 신용카드사의 경쟁 (Competition between Mobile Pay and Credit Card Systems)

  • 이영애;박종국
    • 아태비즈니스연구
    • /
    • 제9권4호
    • /
    • pp.49-65
    • /
    • 2018
  • This paper illustrates the competition between the mobile pay and credit card systems by utilizing the theory of two-sided markets. Two firms, as platforms, maximize the profit collecting fees from consumers on one side and from retailers on the other side. Consumers pay to buy goods and services with mobile pay, credit card, or cash. The basic model is one that each platform maximizes its profit. We show that the fees for credit card holders and retailers are higher than the respective costs. The fee for retailers of the mobile payment is higher than its cost, while the buyer's fee may be higher or lower than its cost. Applied model is the one that employs the delegation game model. The total profit of the mobile pay system is composed of its profit and the weighted demand for the mobile pay. It is shown that buyers' fee under the applied model is lower than that under the basic model, resulting in an increase of the demand for the mobile pay. The fee for the retailers rises, albeit the sum of fees for the buyers and retailers falls. The profit for the mobile pay system is increased, while that for the credit card company stays the same.

DP-LinkNet: A convolutional network for historical document image binarization

  • Xiong, Wei;Jia, Xiuhong;Yang, Dichun;Ai, Meihui;Li, Lirong;Wang, Song
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제15권5호
    • /
    • pp.1778-1797
    • /
    • 2021
  • Document image binarization is an important pre-processing step in document analysis and archiving. The state-of-the-art models for document image binarization are variants of encoder-decoder architectures, such as FCN (fully convolutional network) and U-Net. Despite their success, they still suffer from three limitations: (1) reduced feature map resolution due to consecutive strided pooling or convolutions, (2) multiple scales of target objects, and (3) reduced localization accuracy due to the built-in invariance of deep convolutional neural networks (DCNNs). To overcome these three challenges, we propose an improved semantic segmentation model, referred to as DP-LinkNet, which adopts the D-LinkNet architecture as its backbone, with the proposed hybrid dilated convolution (HDC) and spatial pyramid pooling (SPP) modules between the encoder and the decoder. Extensive experiments are conducted on recent document image binarization competition (DIBCO) and handwritten document image binarization competition (H-DIBCO) benchmark datasets. Results show that our proposed DP-LinkNet outperforms other state-of-the-art techniques by a large margin. Our implementation and the pre-trained models are available at https://github.com/beargolden/DP-LinkNet.

비즈니스 모델의 진화: 플러그에서 플랫폼으로 -다원 DNS IoT 기술의 사례- (Evolution of Business Model: From Plug To Platform - Dawon DNS Business Case-)

  • 박민혁;여운남;이정우
    • 한국IT서비스학회지
    • /
    • 제20권5호
    • /
    • pp.105-118
    • /
    • 2021
  • As we enter the era of the 4th industrial revolution, information and communication technologies, including artificial intelligence and big data, are converging throughout society. Especially, as the importance of the social foundation of hyper-connection grows, the social influence of IoT, a network of connecting objects, people, and various entities, is also gradually expanding. In addition, as a pandemic, COVID-19, continues, interests in untact-oriented technology and service development are growing more than ever, and each company is trying to establish a core competency strategy to gain an edge in competition in the changing society. This study is a case study centered on Dawon DNS, a company that provides an IoT-based AI smart plug platform. Dawon DNS is broadening its services while developing products by applying advanced technologies, and this study is aiming to investigate the core competencies of the business evolution process. The obtained result of this study will provide implications for companies to become more competitive by suggesting the attitudes and strategies that startups should have during the transforming business environment.

Innovation and Challenges of Urban Creative Products in Digital Media Art - Tourist cities in China for example

  • Ma Xiaoyu;Lee Jaewoo
    • International Journal of Advanced Culture Technology
    • /
    • 제12권1호
    • /
    • pp.175-181
    • /
    • 2024
  • The paper examines the impact of digital media art on urban creative products, analyzing opportunities and challenges in the digital era. It emphasizes the development of urban cultural and creative products, highlighting their significance and future growth potential. The digital media era provides unprecedented innovation opportunities, utilizing advanced tools for efficient design, production, and marketing. Trends like personalization, customization, AI, and big data offer new expressions and market prospects. Cultural products evolve in design, marketing, and sales channels due to digital media, with tools like social media and e-commerce platforms opening new promotion avenues. Case studies illustrate digital media's role in driving innovation and enhancing user experiences. The paper addresses challenges in market competition, copyright, and technological renewal, while recognizing opportunities from AI and big data. The creative industries must adapt and innovate to remain relevant. Looking ahead, urban creative products will evolve under digitalization, relying on digital means to attract consumers and enhance brand value. Cultural products, beyond economic entities, disseminate urban culture and creative spirit. In the digital era, urban creative products demonstrate potential and necessity, prompting a reevaluation of digital technology's role. Through continuous innovation, this field contributes to cultural and economic levels, impacting urban characteristics and heritage. Urban creative products play an increasingly vital role in the global cultural and creative economy.

이미지 인식을 통한 AI 기반 소방 시설 설계 기술 개발에 관한 연구 (A Study on the Development of AI-Based Fire Fighting Facility Design Technology through Image Recognition)

  • 남기태;서기준;최두찬
    • 한국재난정보학회 논문집
    • /
    • 제18권4호
    • /
    • pp.883-890
    • /
    • 2022
  • 연구목적:현재 국내 소방시설설계의 경우 낮은 설계단가와 업체 간 과열 경쟁으로 고급 인력에 대한 확보가 어려워 건축물의 화재안전성능을 향상시키는데 한계가 있다. 이에 이러한 문제를 해소하고 선도적인 소방엔지니어링 기술을 확보하기 위해 AI 기반 소방설계솔루션을 연구하였다. 연구방법: 기존 소방설계에 많이 사용되는 AutoCAD를 통해 기본 설계 및 실시 설계에 필요한 절차를 프로세스화 하고 YOLO v4 객체 인식 딥러닝 모델을 통해 AI기술을 활용하였다. 연구결과:소방시설에 대한 설계프로세스를 통해 설비의 결정과 도면 설계 자동화를 진행하였다. 또한 문 및 기둥에 대한 이미지를 학습시켜 인공지능이 해당 부분을 인식하여 경계구역 선정, 배관 및 소방시설을 설치하는 기능을 구현하였다. 결론:인공지능 기술을 기반으로 건축물 화재방호 설비에 대한 기본 및 실시 설계 도면 작성 시 인적 및 물적 자원을 저감시킬 수 있을 것으로 확인되었으며 선행적인 기술 개발을 통해 인공지능 기반 소방설계에 기술력을 확보하였다.

Crowdsourcing Software Development: Task Assignment Using PDDL Artificial Intelligence Planning

  • Tunio, Muhammad Zahid;Luo, Haiyong;Wang, Cong;Zhao, Fang;Shao, Wenhua;Pathan, Zulfiqar Hussain
    • Journal of Information Processing Systems
    • /
    • 제14권1호
    • /
    • pp.129-139
    • /
    • 2018
  • The crowdsourcing software development (CSD) is growing rapidly in the open call format in a competitive environment. In CSD, tasks are posted on a web-based CSD platform for CSD workers to compete for the task and win rewards. Task searching and assigning are very important aspects of the CSD environment because tasks posted on different platforms are in hundreds. To search and evaluate a thousand submissions on the platform are very difficult and time-consuming process for both the developer and platform. However, there are many other problems that are affecting CSD quality and reliability of CSD workers to assign the task which include the required knowledge, large participation, time complexity and incentive motivations. In order to attract the right person for the right task, the execution of action plans will help the CSD platform as well the CSD worker for the best matching with their tasks. This study formalized the task assignment method by utilizing different situations in a CSD competition-based environment in artificial intelligence (AI) planning. The results from this study suggested that assigning the task has many challenges whenever there are undefined conditions, especially in a competitive environment. Our main focus is to evaluate the AI automated planning to provide the best possible solution to matching the CSD worker with their personality type.

혁신적 대학교육을 위한 학생관리시스템 고도화 방안 연구 (A study on how to advance the student management system for innovative university education)

  • 김민수;민현구
    • 융합보안논문지
    • /
    • 제22권5호
    • /
    • pp.89-94
    • /
    • 2022
  • 4차 산업혁명 시대의 본격적인 시작으로 새로운 산업과 사회의 빠른 변화로 인한 교육적 수요의 변화와 급속히 감소하는 학령인구로 인한 생존경쟁에서 대학교육의 질 향상을 위한 노력 즉 혁신적인 대학교육을 위한 고도화 방안이 요구되고 있다. 특히 학생들의 대학 입학부터 졸업까지 대학생활적응진단을 통해 학생상담 및 지도 관리를 위한 시스템 적용이 필요한 실정이다. 이에 각 대학에서는 빅데이터(Bigdata), 인공지능(AI) 등 4차 산업혁명 시대 핵심기술을 기반으로 과정 연계형 통합 플랫폼 고도화 사업을 추진하고 있다. 따라서 본 연구에서는 정보보호학전공 분야를 바탕으로 혁신적 대학교육을 위한 학생관리시스템 고도화 방안을 제시하고자 한다.

강대국 간의 경쟁시대와 미 해군의 증강 노력 (USN's Efforts to Rebuild its Combat Power in an Era of Great Power Competition)

  • 정호섭
    • Strategy21
    • /
    • 통권44호
    • /
    • pp.5-27
    • /
    • 2018
  • The purpose of this paper is to look at USN's efforts to rebuild its combat power in the face of a reemergence of great powers competition, and to propose some recommendations for the ROKN. In addition to the plan to augment its fleet towards a 355-ships capacity, the USN is pursuing to improve exponentially combat lethality(quality) of its existing fleet by means of innovative science and technology. In other words, the USN is putting its utmost efforts to improve readiness of current forces, to modernize maintenance facilities such as naval shipyards, and simultaneously to invest in innovative weapons system R&D for the future. After all, the USN seems to pursue innovations in advanced military Science & Technology as the best way to ensure continued supremacy in the coming strategic competition between great powers. However, it is to be seen whether the USN can smoothly continue these efforts to rebuild combat strength vis-a-vis its new competition peers, namely China and Russian navy, due to the stringent fiscal constraints, originating, among others, from the 2011 Budget Control Act effective yet. Then, it seems to be China's unilateral and assertive behaviors to expand its maritime jurisdiction in the South China Sea that drives the USN's rebuild-up efforts of the future. Now, some changes began to be perceived in the basic framework of the hitherto regional maritime security, in the name of declining sea control of the USN as well as withering maritime order based on international law and norms. However, the ROK-US alliance system is the most excellent security mechanism upon which the ROK, as a trading power, depends for its survival and prosperity. In addition, as denuclearization of North Korea seems to take significant time and efforts to accomplish in the years to come, nuclear umbrella and extended deterrence by the US is still noting but indispensible for the security of the ROK. In this connection, the naval cooperation between ROKN and USN should be seen and strengthened as the most important deterrents to North Korean nuclear and missile threats, as well as to potential maritime provocation by neighboring countries. Based on these observations, this paper argues that the ROK Navy should try to expand its own deterrent capability by pursuing selective technological innovation in order to prevent this country's destiny from being dictated by other powers. In doing so, however, it may be too risky for the ROK to pursue the emerging, disruptive innovative technologies such as rail gun, hypersonic weapon... etc., due to enormous budget, time, and very thin chance of success. This paper recommends, therefore, to carefully select and extensively invest on the most cost-effective technological innovations, suitable in the operational environments of the ROK. In particular, this paper stresses the following six areas as most potential naval innovations for the ROK Navy: long range precision strike; air and missile defense at sea; ASW with various unmanned maritime system (UMS) such as USV, UUV based on advanced hydraulic acoustic sensor (Sonar) technology; network; digitalization for the use of AI and big data; and nuclear-powered attack submarines as a strategic deterrent.

A.I.에이전트와의 보이스 인터랙션 : 국내외 IT회사 사례연구 (Voice Interactions with A. I. Agent : Analysis of Domestic and Overseas IT Companies)

  • 이서영
    • 한국엔터테인먼트산업학회논문지
    • /
    • 제15권4호
    • /
    • pp.15-29
    • /
    • 2021
  • 인공지능 에이전트는 4차 산업혁명의 핵심 기술이고, 현재 많은 기업들이 AI 음성 인식 비서를 탑재 출시함으로써 산업 내 치열한 경쟁을 벌이고 있다. 애플, 마이크로소프트, 구글, 아마존, 삼성 등 고객 충성도를 확보하고 있으며 자사 하드웨어 제품을 내놓고 있는 기업의 경우, AI 비서 서비스를 자사 제품에 적용함으로써 고객 충성도를 높이고, 시장 점유율 역시 극대화뿐 아니라 향후 음성 인터페이스 플랫폼 시장 장악력을 확대하고 있다. 본 연구는 인공지능분야의 해외 및 국내 주요 기업들의 현황을 분석하고 보이스 UI 개발과 혁신 수용 관점에서 사용자 만족을 위한 기술 발전 방향에 초점을 맞추어 미래 전략 방향을 제언했다. B2B 기술적인 측면에서는 음성 인식률을 높이고 하드웨어향상, 자연언어 처리기술 및 빅데이터 및 인공지능 접목한 혁신 기술의 데이터가 쌓인 클라우드 컴퓨팅 활용뿐 아니라 및 Open A.I.언어 인공지능인 GPT-3의 활용 및 사용성, 유용성, 감성 측면에서 사용자 만족을 높일 필요가 있다. 본 연구는 산업계와 학계에 실무적, 이론적 함의를 준다.

딥러닝 인공지능을 활용한 사물인터넷 비즈니스 모델 설계 (Ensure intellectual property rights for 3D pringting 3D modeling design)

  • 이용규;박대우
    • 한국정보통신학회:학술대회논문집
    • /
    • 한국정보통신학회 2016년도 추계학술대회
    • /
    • pp.351-354
    • /
    • 2016
  • 알파고와 이세돌의 바둑대결은 세계적인 관심사를 갖으며 알파고의 승리로 끝났다. 알파고의 핵심 기능은 바둑기보를 컴퓨터 스스로 공부하는 딥러닝 시스템이었다. 이후로 인공지능을 활용한 딥러닝 시스템은 활용도가 검증되었다고 할 수 있다. 최근에 정부에서 사물인터넷을 활성화하기 위하여 사물인터넷기본법을 통과시키고 비즈니스모델을 개발하고 있다. 본 논문에서는 딥러닝 인공지능을 활용한 사물인터넷 비즈니스 환경을 분석하고 특화된 비즈니스 모델을 설계하겠다.

  • PDF