• Journal of Service Research and Studies
• /
• v.4 no.1
• /
• pp.71-81
• /
• 2014

It is important for regional comparative analysis about economically active population ratio by sex and total economically active population ratio to a policy data of central and local government. Through the result of comparative analysis, Central and local government can use policies distinctively according to the region and keep the efficiency of detail policy application. This paper shows regional comparative analysis about economically active population ratio by sex for the Seoul metropolitan region, Gangwon region, Chungcheong region, Youngnam region, Honam region using the economically active population survey data in 16 cities and provinces. We used the survey of economically active population for 13 years from 2000 to 2012, we calculated total economically active population ratio and economically active population ratio by sex about the 5 regions. And we analyzed the relative ratio between economically active population ratio of male and female by each region, we also analyzed the results of regional comparative analysis by sex.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.35 no.7
• /
• pp.801-815
• /
• 2011

This study examines the characteristics of marketing and customer that influence the selection of multichannel (preference/frequency of use) in the fashion retail. The subjects of this study are men and women live in Seoul/Gyeonggi province and Busan/Gyeongsangnam-do in their 20s-40s who have shopping experiences in fashion items of more than 2 shopping channels among offline stores, catalogs, and the internet. The survey period was from March to May 2010 and 411 forms were used in this survey. The data were analyzed by a reliability analysis (Cronbach's ${\alpha}$), a factor analysis, t-test and one-way ANOVA. The main results of this study are summarized as follows. First, marketing characteristics, which effect the selection of multichannel (preference/frequency of use), consist of sales promotion, service, price, merchandise, and distribution. Those have a significant influence (***p${\leq}$.001) on choosing multichannel of fashion retail. Price has a significant impact on the preference of multichannel and merchandise affect for frequency of use in multichannel shopping. Second, customer characteristics have a significant influence (***p${\leq}$.001) on the monthly average purchasing amount, shopping hours, shopping frequency, brand knowledge, and price sensitivity. Particularly, monthly average purchasing amount & shopping frequency have meaningful differences in the frequency of using multichannel; in addition, shopping hours were affected by preference & frequency of use. Price sensitivity has a greater influence on the frequency of using multichannel and brand knowledge has a greater effect on multichannel preference. Customer's information searching characteristics have main 3 factors through the use of marketing information, personal information and experience information. Application of experience information is the main factor in preference and frequency of using multichannel shopping. The customer demographic characteristics of age (*p${\leq}$.05, **p${\leq}$.01) and gender (*p${\leq}$.05) show a difference for selecting multichannel. There is no difference for marital status, average household income per month, and job.

• Journal of Advanced Navigation Technology
• /
• v.27 no.6
• /
• pp.835-840
• /
• 2023

RFID(Radio Frequency Identification) systems are attracting attention as a key component of Internet of Things technology due to the cost and energy efficiency of application services. In order to use RFID technology in the IoT application service field, it is necessary to be able to store and manage various information for a long period of time as well as simple recognition between the reader and tag of the RFID system. And in order to read and write information to tags, a performance improvement technology that is strong and reliable in poor wireless channels is needed. In particular, in the UHF(Ultra High Frequency) RFID system, since multiple tags communicate passively in a crowded environment, it is essential to improve the recognition rate and transmission speed of individual tags. In this paper, Middleton's Class A impulsive noise model was selected to analyze the performance of the RFID system in an impulsive noise environment, and FM0 encoding and Miller encoding were applied to the tag to analyze the error rate performance of the RFID system. As a result of analyzing the performance of the RFID system in Middleton's Class A impulsive noise channel, it was found that the larger the Gaussian noise to impulsive noise power ratio and the impulsive noise index, the more similar the characteristics to the Gaussian noise channel.

• Journal of Intelligence and Information Systems
• /
• v.18 no.3
• /
• pp.137-152
• /
• 2012

In the generation of Web 2.0, as many users start to make lots of web contents called user created contents by themselves, the World Wide Web is overflowing by countless information. Therefore, it becomes the key to find out meaningful information among lots of resources. Nowadays, the information retrieval is the most important thing throughout the whole field and several types of search services are developed and widely used in various fields to retrieve information that user really wants. Especially, the legal information search is one of the indispensable services in order to provide people with their convenience through searching the law necessary to their present situation as a channel getting knowledge about it. The Office of Legislation in Korea provides the Korean Law Information portal service to search the law information such as legislation, administrative rule, and judicial precedent from 2009, so people can conveniently find information related to the law. However, this service has limitation because the recent technology for search engine basically returns documents depending on whether the query is included in it or not as a search result. Therefore, it is really difficult to retrieve information related the law for general users who are not familiar with legal terms in the search engine using simple matching of keywords in spite of those kinds of efforts of the Office of Legislation in Korea, because there is a huge divergence between everyday words and legal terms which are especially from Chinese words. Generally, people try to access the law information using everyday words, so they have a difficulty to get the result that they exactly want. In this paper, we propose a term mapping methodology between everyday words and legal terms for general users who don't have sufficient background about legal terms, and we develop a search service that can provide the search results of law information from everyday words. This will be able to search the law information accurately without the knowledge of legal terminology. In other words, our research goal is to make a law information search system that general users are able to retrieval the law information with everyday words. First, this paper takes advantage of tags of internet blogs using the concept for collective intelligence to find out the term mapping relationship between everyday words and legal terms. In order to achieve our goal, we collect tags related to an everyday word from web blog posts. Generally, people add a non-hierarchical keyword or term like a synonym, especially called tag, in order to describe, classify, and manage their posts when they make any post in the internet blog. Second, the collected tags are clustered through the cluster analysis method, K-means. Then, we find a mapping relationship between an everyday word and a legal term using our estimation measure to select the fittest one that can match with an everyday word. Selected legal terms are given the definite relationship, and the relations between everyday words and legal terms are described using SKOS that is an ontology to describe the knowledge related to thesauri, classification schemes, taxonomies, and subject-heading. Thus, based on proposed mapping and searching methodologies, our legal information search system finds out a legal term mapped with user query and retrieves law information using a matched legal term, if users try to retrieve law information using an everyday word. Therefore, from our research, users can get exact results even if they do not have the knowledge related to legal terms. As a result of our research, we expect that general users who don't have professional legal background can conveniently and efficiently retrieve the legal information using everyday words.

• Journal of Intelligence and Information Systems
• /
• v.16 no.3
• /
• pp.147-161
• /
• 2010

As broadcasting and communication are converged recently, communication is jointed to TV. TV viewing has brought about many changes. The IPTV (Internet Protocol Television) provides information service, movie contents, broadcast, etc. through internet with live programs + VOD (Video on demand) jointed. Using communication network, it becomes an issue of new business. In addition, new technical issues have been created by imaging technology for the service, networking technology without video cuts, security technologies to protect copyright, etc. Through this IPTV network, users can watch their desired programs when they want. However, IPTV has difficulties in search approach, menu approach, or finding programs. Menu approach spends a lot of time in approaching programs desired. Search approach can't be found when title, genre, name of actors, etc. are not known. In addition, inserting letters through remote control have problems. However, the bigger problem is that many times users are not usually ware of the services they use. Thus, to resolve difficulties when selecting VOD service in IPTV, a personalized service is recommended, which enhance users' satisfaction and use your time, efficiently. This paper provides appropriate programs which are fit to individuals not to save time in order to solve IPTV's shortcomings through filtering and recommendation-related system. The proposed recommendation system collects TV program information, the user's preferred program genres and detailed genre, channel, watching program, and information on viewing time based on individual records of watching IPTV. To look for these kinds of similarities, similarities can be compared by using ontology for TV programs. The reason to use these is because the distance of program can be measured by the similarity comparison. TV program ontology we are using is one extracted from TV-Anytime metadata which represents semantic nature. Also, ontology expresses the contents and features in figures. Through world net, vocabulary similarity is determined. All the words described on the programs are expanded into upper and lower classes for word similarity decision. The average of described key words was measured. The criterion of distance calculated ties similar programs through K-medoids dividing method. K-medoids dividing method is a dividing way to divide classified groups into ones with similar characteristics. This K-medoids method sets K-unit representative objects. Here, distance from representative object sets temporary distance and colonize it. Through algorithm, when the initial n-unit objects are tried to be divided into K-units. The optimal object must be found through repeated trials after selecting representative object temporarily. Through this course, similar programs must be colonized. Selecting programs through group analysis, weight should be given to the recommendation. The way to provide weight with recommendation is as the follows. When each group recommends programs, similar programs near representative objects will be recommended to users. The formula to calculate the distance is same as measure similar distance. It will be a basic figure which determines the rankings of recommended programs. Weight is used to calculate the number of watching lists. As the more programs are, the higher weight will be loaded. This is defined as cluster weight. Through this, sub-TV programs which are representative of the groups must be selected. The final TV programs ranks must be determined. However, the group-representative TV programs include errors. Therefore, weights must be added to TV program viewing preference. They must determine the finalranks.Based on this, our customers prefer proposed to recommend contents. So, based on the proposed method this paper suggested, experiment was carried out in controlled environment. Through experiment, the superiority of the proposed method is shown, compared to existing ways.

• Proceedings of the Korea Contents Association Conference
• /
• 2006.11a
• /
• pp.458-460
• /
• 2006

MPEG-4 BIFS(Binary Format for Scene) is the format to describe the information of time-spatial location of each visual objects in the scene. This is broadcasting for test through T-DMB in the our country and is able to be converted to various multimedia formats. The DMB receivers used currently are loaded on mobile devices mostly and the supply of the receiver is increasing steadily. These enable various service for convergence of DMB and wireless network to do. Therefore, this paper propose a new method of interactive multimedia authoring tool using wireless network and MPEG-4 BIFS. The proposed method corrects and complements MPEG-4 BIFS and have DMB broadcasting and wireless network co-operate. Also using this method, users can make out contents by themselves and can retransmit them through DMB broadcasting. The proposed method produce interactive multimedia contents reconstructed at user's request.

• The KIPS Transactions:PartC
• /
• v.8C no.1
• /
• pp.88-96
• /
• 2001

Future mobile communication networks, which consist of ATM-based B-ISDN backbone networks and wireless ATM networks, will provide u user with broadband connection and QoS service. These network systems need the lossless handoff methods which support user mobility, satisfy ATM features such as ATM cell ordering and no ATM cell duplication and minimize buffer requirement for ATM cell buffering. In this paper we suggest a multicast-based handoff method to supp$\alpha$t lossless connection as well as to minimize buffer overhead. It establishes a dynamic multicast connection between source terminal and wireless member AP (access point)s. When the mobile terminal receives data packet correctly, it notifies the positive acknowledgement of the packet to all member APs. And member APs then release the MT related temporary buffer space for MT's future movement. Therefore member APs can eliminate unnecessary buffer usage and manage the buffer space efficiently. Analysis result shows that our handoff method has better performance in buffer requirement for lossless and seamless connection services over VCT (virtual connection tree) method and other dynamic multicast-based handoff methods.

• Journal of Korea Technology Innovation Society
• /
• v.12 no.3
• /
• pp.525-544
• /
• 2009

There's a way to recover unbalanced industrial structure between large size company (LEs) and small size company(SMEs). It's called middle size company (MEs) which can be the magic bullet for Korea to be more healthier than ever. but there are problems with MEs in Korea. Not only the number of MEs is too low compared to developed country's but also the status of amount of research developmental revenue, R&D concentration isn't that satisfied. That's why we need to focus on MEs which was out of center stage until now. Before discussing about how to foster MEs, we need to know what cause MEs makes weak. This research contains actual condition of R&D investment in MEs based on data from Korea information service. Also, survey data can help to know exact factor which make hard to invest research development. Expecially, this research give the answers that relation between the course of growth and concentration of R&D which was observed that has reciprocal relationship.

• Journal of Service Research and Studies
• /
• v.3 no.1
• /
• pp.75-86
• /
• 2013

It is important for regional comparative analysis about employment-population rate of young man and total employment-population rate to a policy data of central and local government. Through the result of comparative analysis, Central and local government can use policies distinctively according to the region and keep the efficiency of detail policy application. This study shows that we classify Seoul Metropolitan region and Gangwon, Choongcheong, Honam, Youngnam region from 16 cities and provinces, and calculate total employment-population rate and employment-population rate of young man for these regions, and then compute the relative ratio between these employment-population rates, and finally compare the relative ratio by these regions. According to main results of this article, total employment-population rates in all the regions have not changed, whereas employment-population rates of young man have been decreased in all the regions but the rates in Seoul Metropolitan region and Choongcheong region have been increased for recent years. Moreover the changes by period of the relative ratio have been almost same as that of young man's employment-population rate.

• Journal of Digital Convergence
• /
• v.13 no.1
• /
• pp.11-23
• /
• 2015

Recently the military is improving the policies of military culture for soldiers to lead a better military life. In this effect, 'division A' introduced 'goal-directed self development program'. This program is guiding the soldiers to set up personal mission in life not only in the military but also linked to the future, after being discharged from military service. Therefore the purpose of this research is to test the effect of this program on soldier's objective management, self esteem and satisfaction and to propose political strategies for creating healthier military culture. The research method was to compare and analyze the difference between two groups, 'division A'(experimental group), which operated the program, and 'division B'(controlled group) which did not operated the program. research targets were 488 soldiers in total, 257 soldiers in experimental group and 231 in controlled group. T-test(verification) and analysis of covariance was done with SPSS WIN 11.5 program with collected information. The result showed that the program has meaningful effect in every aspect mentioned above to the soldiers.