• Title/Summary/Keyword: mobile market

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A Location Recognition System of RFID Tag for Parking Control (주차관제를 위한 RFID 태그 객체의 위치 인식 시스템)

  • Kang, Ku-An;Kim, Jin-Deog
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.1
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    • pp.99-107
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    • 2008
  • Recently route guiding system using GPS is spread widely. In the parking management system of complex mall, RFID is mainly used to control status of parking lots. However, in a case that a vehicle only with RFID tag enters into small market-populated district with service of parking lots, there is no parking route guiding system optimized with information of real tine status of parking lots and the system only with GPS can't provide a function of using real time status of parking lots. This paper proposes a location recognizing method of RFID tag object for parking control system to integrated several parking lots in the business district and database-linked route guiding system optimized for parking. The proposed location recognizing method makes the search of optimized parking route possible by abstracting decoding order of tag and antenna number and recognizing direction of tag linked with database. Ihe implemented system that is composed of RFID tag, reader, middleware, server, parking lot clients and mobile clients shows that the proposed method works well and it will be useful for integrated parking control system.

Empirical Study on the Impact of China Mobile Phone Market Origin Image on Consumers' Purchasing Intention (중국 휴대폰 시장에서 원산지 이미지가 소비자의 구매 의도에 미치는 영향에 관한 실증 연구)

  • Gao, Ze;Sim, Jae-yeon;Liao, Xuan
    • Journal of the Korea Convergence Society
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    • v.10 no.11
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    • pp.101-109
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    • 2019
  • With the rapid development of China's economy, the consumption concept of Chinese consumers has changed, and the purchase intention of consumers is also affected by the origin of the brand. The purpose of this study is to help local enterprises gain more competitive advantages in international marketing activities by improving the image of the country of origin. Based on the theory of clue utilization, this paper constructs a theoretical model of the effect of the image of origin on consumers' purchase intention and puts forward the basic hypothesis. The data were collected, analyzed and processed through questionnaire survey and spss23.0. The results showed that: the image of the place of origin and the perceived value had a significant impact on the purchase intention. The image of origin has significant influence on perceived value. Finally, combined with the empirical research results, relevant marketing strategies and Suggestions are provided for local enterprises. At the same time, it also provides some reference for other countries to sell in China.

Compiler Optimization Techniques for The Next Generation Low Power Multibank Memory (차세대 저전력 멀티뱅크 메모리를 위한 컴파일러 최적화 기법)

  • Cho, Doosan
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.6
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    • pp.141-145
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    • 2021
  • Various types of memory architectures have been developed, and various compiler optimization techniques have been studied to efficiently use them. In particular, since a memory is a major component that determines performance in mobile computing devices, various optimization techniques have been developed to support them. Recently, a lot of research on hybrid type memory architecture is being conducted, so various compiler techniques are being studied to support it. Existing compiler optimization techniques can be used to achieve the required minimum performance and constraint on low power according to market requirements. References for determining the low-power effect and the degree of performance improvement using these optimization techniques are not properly provided yet. This study was conducted to provide the experimental results of the existing compiler technique as a reference for the development of multibank memory architecture.

Customer Attitude to Artificial Intelligence Features: Exploratory Study on Customer Reviews of AI Speakers (인공지능 속성에 대한 고객 태도 변화: AI 스피커 고객 리뷰 분석을 통한 탐색적 연구)

  • Lee, Hong Joo
    • Knowledge Management Research
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    • v.20 no.2
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    • pp.25-42
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    • 2019
  • AI speakers which are wireless speakers with smart features have released from many manufacturers and adopted by many customers. Though smart features including voice recognition, controlling connected devices and providing information are embedded in many mobile phones, AI speakers are sitting in home and has a role of the central en-tertainment and information provider. Many surveys have investigated the important factors to adopt AI speakers and influ-encing factors on satisfaction. Though most surveys on AI speakers are cross sectional, we can track customer attitude toward AI speakers longitudinally by analyzing customer reviews on AI speakers. However, there is not much research on the change of customer attitude toward AI speaker. Therefore, in this study, we try to grasp how the attitude of AI speaker changes with time by applying text mining-based analysis. We collected the customer reviews on Amazon Echo which has the highest share of AI speakers in the global market from Amazon.com. Since Amazon Echo already have two generations, we can analyze the characteristics of reviews and compare the attitude ac-cording to the adoption time. We identified all sub topics of customer reviews and specified the topics for smart features. And we analyzed how the share of topics varied with time and analyzed diverse meta data for comparisons. The proportions of the topics for general satisfaction and satisfaction on music were increasing while the proportions of the topics for music quality, speakers and wireless speakers were decreasing over time. Though the proportions of topics for smart fea-tures were similar according to time, the share of the topics in positive reviews and importance metrics were reduced in the 2nd generation of Amazon Echo. Even though smart features were mentioned similarly in the reviews, the influential effect on satisfac-tion were reduced over time and especially in the 2nd generation of Amazon Echo.

A Classification of Medical and Advertising Blogs Using Machine Learning (머신러닝을 이용한 의료 및 광고 블로그 분류)

  • Lee, Gi-Sung;Lee, Jong-Chan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.730-737
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    • 2018
  • With the increasing number of health consumers aiming for a happy quality of life, the O2O medical marketing market is activated by choosing reliable health care facilities and receiving high quality medical services based on the medical information distributed on web's blog. Because unstructured text data used on the Internet, mobile, and social networks directly or indirectly reflects authors' interests, preferences, and expectations in addition to their expertise, it is difficult to guarantee credibility of medical information. In this study, we propose a blog reading system that provides users with a higher quality medical information service by classifying medical information blogs (medical blog, ad blog) using bigdata and MLP processing. We collect and analyze many domestic medical information blogs on the Internet based on the proposed big data and machine learning technology, and develop a personalized health information recommendation system for each disease. It is expected that the user will be able to maintain his / her health condition by continuously checking his / her health problems and taking the most appropriate measures.

A Study on Internet Technology Perspective Applicable in Industrial Environments (산업환경에서 적용 가능한 사물인터넷 기술 전망에 한 연구)

  • Hong, Sunghyuck
    • Journal of Industrial Convergence
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    • v.17 no.2
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    • pp.21-27
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    • 2019
  • The Internet of things is the infrastructure that can communicate with each other by exchanging information by installing antennas that can communicate with all things in the world. The reason why the Internet of Things is the core of the Fourth Industrial Revolution is that data is collected through the Internet to be. Technology of things Internet and Trend of Things Internet IoT (Internet of Things) is a concept that enables internet connection and communication between devices equipped with various sensors. It is the core IT trend of lot, technology such as big data, mobile, cloud And to provide information for the development of the industrial environment through research on the importance of the Internet of things, the core of the Fourth Industrial Revolution and the processing and analysis techniques of Big Data. By providing various security measures and future technologies, This study was conducted to contribute to management.

Design and Implementation of Hybrid Apps Design based on Spring MVC (스프링 MVC 기반에서 하이브리드 앱 디자인 설계 및 구현)

  • Lee, Myeong-Ho
    • Journal of the Korea Convergence Society
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    • v.10 no.3
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    • pp.395-400
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    • 2019
  • The Web environment of the frontend domain is increasingly competitive to preempt the new standard of presentation layer. N-Screen, a service that enables users to seamlessly use one content in various devices in Korea, is competing for market preemption by recognizing it as a core service of the future. In the cloud computing, N-screen is a typical service type. However, most of the frontend research required for groupware in enterprise environments has been limited to responsive web design for the web and native apps for mobile. Gradually, the need for MVC design patterns is increasingly widening in enterprise environments to overcome the cultural differences of companies and to support one source multi-use strategy supporting multiple devices and development productivity. Therefore, in this study, we will analyze and design JPetStore with hybrid application design based on Spring MVC, e-government standard framework environment of next generation web standard, and provide reference model of frontend hybrid apps design in future enterprise environment.

A study to detect and leaked personal information on the smartphone. (Web을 이용한 안드로이드 기기 제어 시스템 설계)

  • Kim, Wung-Jun;He, Yi-Lun;Park, Sung-Hyun;Ban, Tae-Hak;Kim, Yong-Un;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.845-847
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    • 2014
  • In recent years, the mobile OS market, enlargement and, at the same time, Android has mounted various smart phones and feature air conditioning, smart TV, cleaning robot, camera, etc. that the number is being spread at a rapid pace. But a lot of devices to control the modules and applications at once, this is not a device for controlling the dissemination of applications all in one place, and in charge of the devices that allow you to manage applications are lacking. Accordingly, in this paper, use the Web Server registered in the appliance can be controlled by management, Web access, is proposing and designing the system. This is the current research is actively in progress in the field of IoT (Internet of Things) would be utilized.

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Design of target advertisement transmission system in Taxi (택시 광고 송출 시스템 설계)

  • Lee, Jae-ung;Jang, Jong-wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.247-249
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    • 2016
  • Corporation, local government and government office provide useful information. Advertisement service is getting various manner. Typical example is electronic display, TV-advertisement and internet or mobile advertisement service. In this paper, I'm study about Taxi-advertisement service still. A similar case is bus or subway advertisement from display. But, Taxi have been only lapping advertisement. Because, Taxi get space restraints. Broadly speaking, Person using Gyeonggi-do to Soeul or Incheon to Soeul is 423million people. On a national basis, it's very amazing figure. However It's just so many person showing one advertisement. So people have no interest in advertisement. So I develop new advertisement system through taxi in the whole country. 254,823 car have passenger personal information and showing people needing advertisement. Also this system get geographical information. This system have high advertisement effect.

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Determination of Ceftiofur Residues by Simple Solid Phase Extraction Coupled with Liquid Chromatography-Tandem Mass Spectrometry in Eel, Flatfish, and Shrimp

  • Kim, Joohye;Shin, Dasom;Kang, Hui-Seung;Lee, Eunhye;Choi, Soo Yeon;Lee, Hee-Seok;Cho, Byung-Hoon;Lee, Kang-Bong;Jeong, Jiyoon
    • Mass Spectrometry Letters
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    • v.10 no.2
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    • pp.43-49
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    • 2019
  • The aim of this study was conducted to develop an analytical method to determine the concentration of ceftiofur residue in eel, flatfish, and shrimp. For derivatization and extraction, the sample was hydrolyzed with dithioerythritol to produce desfuroylceftiofur, which was then derivatized by iodoacetamide to obtain desfuroylceftiofur acetamide. For purification, the process of solid phase extraction (Oasis HLB) was used. The target analytes were confirmed and quantified in $C_{18}$ column using liquid chromatography-tandem mass spectrometry with 0.1% formic acid in water (A) and 0.1% formic acid in acetonitrile (B) as the mobile phase. The linearity of the standard calibration curve was confirmed by a correlation coefficient, $r^2>0.99$. The limit of quantification for ceftiofur was 0.002 mg/kg; the accuracy (expressed as the average recoveries) was 80.6-105%; the precision (expressed as the coefficient of variation) was below 6.3% at 0.015, 0.03, and 0.06 mg/kg. The validated method demonstrated high accuracy and acceptable sensitivity to meet the Codex guideline requirements. The developed method was tested using market samples. As a results, ceftiofur was detected in one sample. Therefore, it can be applied to the analysis of ceftiofur residues in fishery products.