• Title/Summary/Keyword: On-demand Service

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Analysis on Trends of Machine Learning-as-a-Service

  • Lee, Yo-Seob
    • International Journal of Advanced Culture Technology
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    • v.6 no.4
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    • pp.303-308
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    • 2018
  • Demand is increasing rapidly in recent years than supply to machine learning professionals. To alleviate this gap, user-friendly machine learning software that can be used by non-specialists has emerged, which is Machine Learning-as-a-Service(MLaaS). MLaaS provides services that enable businesses to easily leverage ML capabilities without expertise. In this paper, we will compare and analyze features, interfaces, supporting programming language, ML framework, and Machine Learning services of MLaaS, to help companies easily use ML service.

Consumer Preferences for Digital Cable Broadcasting Service in Korea: A Choice Experiment Study

  • Ku, Se-Ju;Yoo, Seung-Hoon;Kwak, Seung-Jun
    • Asian Journal of Innovation and Policy
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    • v.5 no.2
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    • pp.185-196
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    • 2016
  • A digital cable broadcasting service is a multimedia broadcasting service that provides high definition and various supplementary services by using digital transmission. Korea implemented a complete digital broadcasting service by 2012. This study applied a choice experiment to investigate consumer preferences, and it calculated the marginal willingness to pay for this service. Moreover, we employed a multinomial probit model to relax the assumption that all respondents have the same preference for attributes being valued. The results suggest that respondents value channels, definition, video-on-demand (VOD) service, pay-per-view (PPV) service, and commerce based on TV (T-commerce). On the other hand, online gaming may be less important as an attribute for digital cable broadcasting service in Korea.

An Embedded Network-Engine for Video On Demand Service (VOD(Video On Demand) 서비스를 위한 임베디드 네트워크 엔진)

  • Md, Amiruzzaman;Son, Sung-Ok;No, Jae-Chun
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.06a
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    • pp.145-148
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    • 2007
  • Although the embedded network-engine is a demand of time, it is observed that up to this time the network-engines are not sufficient to control the input and output device for Video On Demand (VOD). In this paper we have proposed the wireless network-engine with the capability of controlling the input and output device.

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Initial Operation Case Study on KTX Special Class (KTX 특정(조건부) 할인상품 운영에 관한 사례 연구)

  • Han, Eun-Young;Ju, Sang-Hwa
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.758-762
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    • 2007
  • Revenue management is a new approach method to solve the problem of supply and demand, and one of fields which is diffused quickly at the service enterprise to use perishable-asset like the transportation business. It is based on multiple fare policy that discount charge reservation should be received if the benefit value of current discount fare is more than expected profit of the normal fare reservation it will be able to occur in future when suitable goods is sold to the customers at discount fare, at the time they want, and at assigned seat by controlling supply and demand from market. In this research, I will review on initial operation case for special class goods that the seat which is limited is assigned at some of train and portion of KTX for demand dispersion and new demand creation at peak time, put a limit in purchase conditions, and provides discounted fare. I will also try to find implication for strategic operation.

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A Study on Demand for Multimedia Database of Specialized Information (전문정보 멀티미디어 데이터베이스의 수요에 관한 연구)

  • Ko Young-Man
    • Journal of the Korean Society for Library and Information Science
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    • v.32 no.1
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    • pp.45-67
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    • 1998
  • The tendency of multimedia services and market of specialized information is currently much debated issur in our country. Nevertheless, the systematic investigation of demand for multimedea database is nowadays nowhere to be found. The purpose of this study is to gain a general overview of market and demand of service relating to multimedea database. At first, various definitions of multimedia, multimedia content, and multimedia database are analysed and evaluated from the point of technical and practical views. For the study on the demand for multimedia database of specialized information, database catalogue of DPCK 1997 and multimedia database on internet are analysed. After that the results of expert survey to estimate an accurate tendency of multimedia services in Korea are analysed.

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- The Study on Improving the Customer Reliability through Demand Planning Using Collaboration System in SCM - (SCM 상에서 협업시스템을 애용한 수요계획 수립을 통한 고객 신뢰성 향상에 관한 연구)

  • Park Young Ki;Oh Sung Hwan;Kang Kyong Sik
    • Journal of the Korea Safety Management & Science
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    • v.6 no.3
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    • pp.131-140
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    • 2004
  • The company was focusing on production which was partial mission rather than acquiring the information of customer in intensive process industry. The company accepted loss which is from over-production, losing of opportunity. After changing to web environment, supply chain is more complicated and need of customer is more various. As a result the company hard works on controlling production rates, production quantities in production area and gathering exact information which is about available resource and available quantities. Cooperated demand planning have to get decreasing of inventory, improving of customer service in supply chain management. Specially demand planning that considers allocation of capacity is executed in Iron-Industry. Demand planning must be classified by customer, region and supply position level.

An Inquiring Demand for Certification of Contract Foodservice Management Company by in-depth Interview and a Review about the System in a Related Field (심층면접(In-depth interview)을 활용한 위탁급식전문업체 인증제도 도입에 대한 요구 조사 및 관련분야 제도에 대한 고찰)

  • Yang, Il-Seon;Park, Mun-Gyeong;Lee, Hae-Yeong
    • Journal of the Korean Dietetic Association
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    • v.10 no.2
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    • pp.218-223
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    • 2004
  • This study was performed to inquire demand for indroducing certification on contract foodservice management company(CFMC) and review about the system in a related field. The methodology was practiced an in-depth interview for grasping demand on certification of CFMC and composition on an appraiser group. Content analysis was reviewed about the system in a related field. Large enterprises and small and medium-sized enterprises were positive opinion on a certification of CFMC and they suggested that education and research institution, industry, government, association will be included in appraiser group. The review about the system of a related industry was investigated by field such as similar product and service with restaurant industry, similar service with hotel and tourism industry. And similar purpose with a certification of CFMC was put in operation as PQ(pre-qualification) and selecting an adequate corporation in architecture industry. Therefore, a certification of CFMC should be tried to scientific introduction by objective verification.

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Implementation of fast forward function in video on demand service system (주문형 비디오 서비스 시스템에서의 정방향 및 역방향 빠른재생 기능구현)

  • 권은정;최영진;김형명
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.6
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    • pp.1377-1384
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    • 1997
  • We propose a new scheme to provide the fast forward and reverse(FF/R) functions to users in Video On Demand Service System. The proposed scheme is to use only I and P pictures obtained by sampling MPEG2 bit-steam. New frame raes for FF/R play are specified with parameters of MPEG2 syntrx. Bits of I and P pictures are reduced in three steps: Variable length decoding(VLD), Inverse quantization and Requantization. The proposed scheme is ecnomical in the sense that it can provide FF/R function without any additional requirement on the bandwidth and on the storage media in video server.

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Studies on Supply and Demand Paradox in Shipping Market

  • Kim, Jin-Hwan
    • The Journal of Industrial Distribution & Business
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    • v.10 no.1
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    • pp.19-27
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    • 2019
  • Purpose - The purpose of the paper is to examine disconnection between supply and demand shipping market, which means shipowner has determined to raise capacity in bust period. Research design, data, and methodology - The research method to be applied is first to look into conceptual theory about shipping market, and then to study imbalance of supply and demand situations in shipping on crisis, and next, to analyses paradoxical aspects traced. Results - Shipping market is a volatile and cyclic characteristics, and its situations have to be examined very carefully. Since financial crisis has broken up in 2008, it is natural to think that world trade volumes has reduced rapidly, which means demand for shipping service has fallen, and accordingly, tonnage should be stagnated as well. However, shipping companies have put capacity into market as unexpectedly. This is because of economy of scale and time lag. Here, this can be explained in terms of paradox that is proved in this paper. Conclusions - From careful research in this paper, it is found that supply and demand are not always got along with market situations, in other words supply side could be working well, in spite of depression time of demand situations in world shipping markets.

Deep Learning Based Electricity Demand Prediction and Power Grid Operation according to Urbanization Rate and Industrial Differences (도시화율 및 산업 구성 차이에 따른 딥러닝 기반 전력 수요 변동 예측 및 전력망 운영)

  • KIM, KAYOUNG;LEE, SANGHUN
    • Journal of Hydrogen and New Energy
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    • v.33 no.5
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    • pp.591-597
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    • 2022
  • Recently, technologies for efficient power grid operation have become important due to climate change. For this reason, predicting power demand using deep learning is being considered, and it is necessary to understand the influence of characteristics of each region, industrial structure, and climate. This study analyzed the power demand of New Jersey in US, with a high urbanization rate and a large service industry, and West Virginia in US, a low urbanization rate and a large coal, energy, and chemical industries. Using recurrent neural network algorithm, the power demand from January 2020 to August 2022 was learned, and the daily and weekly power demand was predicted. In addition, the power grid operation based on the power demand forecast was discussed. Unlike previous studies that have focused on the deep learning algorithm itself, this study analyzes the regional power demand characteristics and deep learning algorithm application, and power grid operation strategy.