• The Journal of Asian Finance, Economics and Business
• /
• 제7권2호
• /
• pp.181-193
• /
• 2020

The midst competition makes a brand all together with its offering products and services is becoming a crucial element for company existence. This requires direct involvement from internal organizational to develop effective strategic branding. According to Asosiasi Penyelenggara Internet Indonesia (APJII), Indonesia's internet penetration is among the highest in Asia. The purpose of this research is to improve the strategic role of brand orientation within Internet Service Provider (ISP) for maximizing return on the company's financial and non-financial benefits by proposing organization change readiness variable. The data collection is taken using an online survey with a non-parametric sampling method and collected 68 qualified respondents for data analysis using SEM-PLS (Structural Equation Modeling with Partial Least Square). The result indicates partial hypotheses on the constructed model between variables brand orientation, brand commitment, and internal brand equity is acceptable. Another finding is stated hypotheses on organization change readiness as moderation is not accepted and means there is no significance to the constructed model. The main conclusion resumes associative human memory can shape up organization change readiness inside internal toward then brand. Relevant cues generate information received in the human brain then will create common associative and becoming social identity on internal brand equity.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제14권3호
• /
• pp.943-961
• /
• 2020

With the advent of IoT technology and Big Data computing, the importance of WSNs (Wireless Sensor Networks) has been on the rise. For energy-efficient and collection-efficient delivery of any sensed data, lots of novel wireless medium access control (MAC) protocols have been proposed and these MAC schemes are the basis of many IoT systems that leads the upcoming fourth industrial revolution. WSNs play a very important role in collecting Big Data from various IoT sensors. Also, due to the limited amount of battery driving the sensors, energy-saving MAC technologies have been recently studied. In addition, as new IoT technologies for Big Data computing emerge to meet different needs, both sensors and sinks need to be mobile. To guarantee stability of WSNs with dynamic topologies as well as frequent physical changes, the existing MAC schemes must be tuned for better adapting to the new WSN environment which includes energy-efficiency and collection-efficiency of sensors, coverage of WSNs and data collecting methods of sinks. To address these issues, in this paper, a self-organization scheme for mobile sensor networks with mobile multiple sinks has been proposed and verified to adapt both mobile sensors and multiple sinks to 3-dimensional group management MAC protocol. Performance evaluations show that the proposed scheme outperforms the previous schemes in terms of the various usage cases. Therefore, the proposed self-organization scheme might be adaptable for various computing and networking environments with big data.

• 산업경영시스템학회지
• /
• 제35권1호
• /
• pp.1-9
• /
• 2012

It is well known that internet shoppers are very sensitive to sale prices. They visit the various shopping malls and collect the product information including purchase conditions for goods purchase decision-making. Recently the necessity of information support is increasing because of increase of information amount which is necessary and complexity of goods purchase decision-making process. The comparison shopping agent systems have provided price comparison information which is collected from various shopping malls to satisfy internet shoppers information craving. But the frequent price change caused by keen price competition is becoming the primary reason of information quality decline among price comparison sites. RSS which is a family of web feed formats used to publish frequently updated is applied even in on-line shopping malls. This paper develops a RSS product information collection system to get real-time product information. The proposed product information system consists of (1) web crawler module for searching RSS feed shopping malls automatically, (2) RSS reader module for parsing product information from RSS feed file, (3) product DB and (4) product searching module. Performance of the proposed system is higher than the comparison shopping agent systems when it is defined with the volume of collecting product information per unit time.

• 한국정보통신학회논문지
• /
• 제20권4호
• /
• pp.728-738
• /
• 2016

ICT 기술의 발전은 인간이 생산해내는 정보뿐 아니라 일상 사물을 인터넷에 연결하여 사물의 정보와 사물이 센싱하는 환경 정보까지 공유할 수 있는 사물인터넷 시대의 도래를 촉진하고 있다. 이에 사물과 사물 간 데이터를 전송하는 많은 방법들이 제안되고 있으며 대표적으로 HTTP 프로토콜을 활용한 데이터 전송 방법이 대중적으로 사용되고 있다. 하지만 방대한 데이터들을 효과적으로 처리하기 위하여 사물 인터넷 플랫폼 시장에서는 좀 더 신속하고 안정적인 통신 프로토콜을 지향하고 있다. HTTP 프로토콜을 지원하는 시스템에서는 헤더가 데이터에 비해 상대적으로 크기에 전송 효율의 문제를 보인다. 또한 시스템 과부하의 문제점이 대두되고 있으며 기업 간 자체 사물인터넷 표준은 데이터 교환 호환성을 방해하고 있다. 이에 본 논문에서는 경량의 표준 사물인터넷 프로토콜인 MQTT와 Web Socket을 활용하여 전송 효율을 개선하고 신속하고 안정성 있는 사물인터넷 플랫폼을 위한 데이터 수집 솔루션을 제안한다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제12권1호
• /
• pp.227-247
• /
• 2018

For intermittently connected wireless sensor networks deployed in hash environments, sensor nodes may fail due to internal or external reasons at any time. In the process of data collection and recovery, we need to speed up as much as possible so that all the sensory data can be restored by accessing as few survivors as possible. In this paper a novel redundant data storage algorithm based on minimum spanning tree and quasi-randomized matrix-QRNCDS is proposed. QRNCDS disseminates k source data packets to n sensor nodes in the network (n>k) according to the minimum spanning tree traversal mechanism. Every node stores only one encoded data packet in its storage which is the XOR result of the received source data packets in accordance with the quasi-randomized matrix theory. The algorithm adopts the minimum spanning tree traversal rule to reduce the complexity of the traversal message of the source packets. In order to solve the problem that some source packets cannot be restored if the random matrix is not full column rank, the semi-randomized network coding method is used in QRNCDS. Each source node only needs to store its own source data packet, and the storage nodes choose to receive or not. In the decoding phase, Gaussian Elimination and Belief Propagation are combined to improve the probability and efficiency of data decoding. As a result, part of the source data can be recovered in the case of semi-random matrix without full column rank. The simulation results show that QRNCDS has lower energy consumption, higher data collection efficiency, higher decoding efficiency, smaller data storage redundancy and larger network fault tolerance.

• 한국생활과학회지
• /
• 제13권1호
• /
• pp.123-133
• /
• 2004

To investigate the factors that contribute to consumer satisfaction with the purchase of clothing, questionnaires were distributed and then consumer groups were classified according to their fashion life style on the internet shopping. The results were as follows: 1. Consumers groups were classified into trendy, Indifferent, brand inclined, conservative, and practicality- minded group by the fashion life style of the internet users. 2. From the analysis of the satisfaction factors on the internet clothing shopping, the factors were product variety, shopping convenience, customer service, confidence in order filling. 3. The most important consumer satisfaction factors according to the fashion life style were as follows: the trendy group considered the variety of clothing design most important. As for the Indifferent group, the tn, diversified collection of the products, and the convenience of unlimited time and space access that the internet site provided, were highly appreciated. With regard to the brand-inclined group, the presentation of product information and the convenience of unlimited time and space factors were highly appreciated. For the conservative group, the time and space factor were highly regarded, As far as the practicality-minded group was concerned, product price and size, the convenience of unlimited time and space access, and punctual delivery schedule were focused.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
• /
• pp.47-47
• /
• 2000

Most measuring devices are equipped with RS-232 or GPIB interface for communicating data with computers. If the measuring devices can be accessed by a server computer, the valuable information from the devices can be effectively shared with other computers via internet. But, if the measuring devices and the server computer are too far away, it is difficulty to directly connect them by RS232 interface. PSTN(Public Switched Telephone Network) refers to the world's collection of interconnected voice-oriented public telephone networks. Measuring computer system which is equipped with RS232 interface and modem for PSTN can be introduced to overcome the aforementioned distance problem, In this work, an internet based remote monitoring system which utilizes PSTN and VRML for 3-dimensional GUI is proposed.

• 농업과학연구
• /
• 제47권2호
• /
• pp.239-253
• /
• 2020

This study identified consumer perceptions of biotechnology crops, provided the types and sources of information on agricultural biotech that consumers demand, and derived effective methods of providing agricultural biotech information by analyzing problems and improving the information available online regarding agricultural biotech. The analysis of sources of information on agricultural biotech showed that there were differences between preference and reliability. Respondents preferred the Internet (47.6%) and TV (36.3%), while they relied on TV (36.3%) the most, followed by the Internet (26.6%), and academic papers and technical books (23.1%). Only 27.1% of the respondents answered that they collect information on agricultural biotech proactively. The higher frequency of information collection indicated a higher satisfaction rate with the information that was being collected. Survey results for the websites that respondents preferred and relied on to collect information were that the most preferred websites were web portals (53.4%), while reliability rates across the various types of websites were relatively even: web portals (28.4%), academic institution websites (19.1%), and websites that provide professional information (18.2%). Surveys that examined factors that were important in choosing the websites for collecting information on biotech indicated that factors such as "Providing verified data and citation" and "Providing objectivity" were the most important. Examining the preferences and factors of preference by content type showed that the demand for visual aids, such as photos, tables, graphs, and videos, was high, and there were statistically significant differences between the factors of preference by content type.

• 대한산업공학회지
• /
• 제39권2호
• /
• pp.119-128
• /
• 2013

Most internet users utilize internet portal search engines, such as Naver, Daum and Google nowadays. But since the results of internet portal search engines are based on universal criteria (e.g. search frequency by region or country), they do not consider personal interests. Namely, current search engines do not provide exact search results for homonym or polysemy because they try to serve universal users. In order to solve this problem, this research determines keyword importance and weight value for each individual search characteristics by collecting and analyzing customized keyword at external database. The customized keyword weight values are integrated with search engine results (e.g. PageRank), and the search ranks are rearranged. Using 50 web pages of Goolge search results for experiment and 6 web pages for customized keyword collection, the new customized search results are proved to be 90% match. Our personalization approach is not the way that users enter preference directly, but the way that system automatically collects and analyzes personal information and then reflects them for customized search results.

• International Journal of Internet, Broadcasting and Communication
• /
• 제13권4호
• /
• pp.72-78
• /
• 2021

Currently, the Korean wave is not limited to popular culture, but has a significant impact not only on Korea's national image but also on the improvement of Korean companies' products and image of Korea. In this study, using Textom to confirm the change in foreign tourists' image of Korea, the data collection period was 1 year of 2020, when COVID 19 occurred, as a collection period for "Korea and foreigner" and related key words, each Hallyu content, and ranked in the top 80 keywords were derived. Centrality analysis for semantic network visualization was performed using UCINET6, and through CONCOR analysis, 7 groups 'K-Quarantine ', 'K-Drama', 'K-Movie', 'K-Beauty', 'K-Shopping', It was clustered into 'K-Tech' and 'K-Pop'. As a result of the analysis, the image of Korea abroad generally recognized the Korean Wave as cultural content, but after the outbreak of COVID 19, it is judged that it has been recognized as a country with a successful case of K-Quarantine.