• Journal of KIISE
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• v.44 no.3
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• pp.261-274
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• 2017

Variability management is the foremost criterion that defines the extent to which complexities can be handled in a system. Predominantly, the requirements' engineering (RE) study overlooks, or speculates a consistent behavior of, the environment in which a system functions. In real-time systems it is vital to observe and adjust to an intrinsically changing context. Therefore, in this work we identify the requirements of the system in various contexts by recommending a framework using i* goal model, problem frames, use case maps and live sequence charts. The framework is illustrated using a case study of the smart grid RTP system. In the case study, elaboration of scenarios using use case maps and live sequence charts proved beneficial as they assisted in early analysis and validation of contexts. In addition, the elaboration of requirements for obstacle and conflict analysis assists the requirements engineer to increase the robustness of the system. The proposed framework is evaluated theoretically and by empirical study.

• Transactions of the Korean Society of Automotive Engineers
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• v.22 no.5
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• pp.126-135
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• 2014

This paper describes the development and verification of control algorithms for V2X and environmental sensor integrated intersection support and safety systems. The objective of the research is to develop core technologies for effective fusion of V2X and environmental sensors and to develop new safety function for intersection safety. One of core technologies is to achieve the improvement of GPS accuracy, and the other is to develop the algorithm of a vehicle identification which matches all data from V2X, vehicle sensors and environmental sensors to specific vehicles. A intersection optimal pass (IOP) algorithm is designed based on these core technologies. IOP recommends appropriate speed to pass the intersection in the consideration of traffic light signal and preceeding vehicle existence. Another function is developed to prevent a collision avoidance when car crash caused by traffic violation of surrounding vehicles is expected. Finally all functions are implemented and tested in three test vehicles. It is shown that IOP can support convenient and comfortable driving with recommending optimal pass speed and collision avoidance algorithm can effectively prevent collision caused by traffic sign violation of surrounding vehicles.

• Journal of Advanced Navigation Technology
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• v.20 no.4
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• pp.336-343
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• 2016

Future air navigation system (FANS) Committee overcomes the limitations of traditional systems, the development of worldwide new system that allows the development of air traffic management have been determined to be necessary. In order to accommodate the rapid increase in aircraft traffic and maximize the safe air navigation efficiency, ICAO is recommending a new performance-based communications and surveillance (PBCS) system. However, although utilizing wireless data link in the case of korea currently, the introduction of the PBCS is not performed normally. In this paper, we review the concept of PBCS, and aviation developed countries look to the applied case of PBCS. It also analyzes trends and status and problems of Korea and introduce future policy directions for CNS/ATM system improvement.

• The Journal of the Korea Contents Association
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• v.9 no.5
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• pp.346-354
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• 2009

This paper proposes a new learning recommendation system for learning patterns that educators are applying to learners using item-based method. The proposed method in this paper first collects personal learning methods based on learning information that learners are performing through the internet contents site. Then this system recommends a learning method which is estimated most properly to learners after classifying learning elements based on these information. The students of a middle school took part in the experiment in order to evaluate the proposed system, and the students were divided into three groups according to their grades. We gave inter-attribute and intra-attribute weights to learning elements applying to each group for recommending the most efficient method to improve learning achievement. The experiment showed that the learning achievement of learners in the proposed method is improved considerably compared to the previous grades.

• Journal of the Korea Society of Computer and Information
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• v.17 no.5
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• pp.81-91
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• 2012

Recently, as location-determination of indoor users is available with the development of variety of localization techniques for indoor location-based service, diverse indoor location based services are proposed. Accordingly, it is necessary to develop individualized POI recommendation service for recommending most interested points of large-scale commercial spaces such as shopping malls and departments. For POI recommendation, it is necessary to study the method for exploring location which users are interested in location with considering user's mobility in large-scale commercial spaces. In this paper, we proposed POI recommendation system with the definition of users' as 'Stay point' in order to consider users' various interest locations. By using the proposed algorithm, we analysis users' Stay points, then mining the users' visiting pattern to finished the proposed. POI Recommendation System. The proposed system decreased data more dramatically than that of using user's entire mobility data and usage of memory.

• Journal of Intelligence and Information Systems
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• v.8 no.2
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• pp.91-103
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• 2002

A collaborative filtering which supports personalized services of users has been common use in existing web sites for increasing the satisfaction of users. A collaborative filtering is demanded that items are estimated more than specified number. Besides, it tends to ignore information of other users as recommending them on the basis of information of partial users who have similar inclination. However, there are valuable hidden information into other users' one. In this paper, we use Association Rule, which is common wide use in Data Mining, with collaborative filtering for the purpose of discovering those information. In addition, this paper proved that Association Rule applied to Recommender System has a effects to recommend users by the relation between groups. In other words, Association Rule based on the history of all users is derived from. and the efficiency of Recommender System is improved by using Association Rule with collaborative filtering.

• Journal of the Korean Association of Geographic Information Studies
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• v.5 no.1
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• pp.69-79
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• 2002

The more people and urban infrastructures are crowded in a society, the more possibilities of disasters are existed. Most of cities have a difficulty in coping with unpredictable disasters consisting of natural and human characteristics. As a proved before, theses disasters have serious effects on socio-economical, financial and physical damages, and human lives. Although we have prepared various types of disaster-protection programs, there are rooms to be desired in establishing advanced warning system towards safeguards of disasters. In this research, we propose semantic ideas of an advanced information system associated with automatic voicing mail linking to telephone. This conceptual model and its architecture is for not only predicting and analyzing disasters, but also recommending counter-measurements and solutions for risks and dangers in disastrous circumstances. However, there are little works with regard to definitions and conceptual models of automatic voicing mail system in the context of geographical information sciences. Therefore, this research focuses on scrutinizing the effect of possible natural vulnerability and human hazards in our present societies.

• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.69-78
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• 2024

Recently, consumers have shown an increasing tendency to seek information related to environmental, social, and governance (ESG) aspects in order to choose products with higher social value and environmental friendliness. In this paper, we proposes a product recommendation system applying ESG indicators tailored to the recent consumer trend of value-based consumption, utilizing a model called MultiSAGE that combines GraphSAGE and GAT. To achieve this, ESG rating data for 1,033 companies in 2022 collected from the Korea ESG Standard Institute and actual product data from N companies were transformed into a Heterogeneous Graph format through a data processing pipeline. The MultiSAGE model was then applied in machine learning to implement a recommendation system that, given a specific product, suggests eco-friendly alternatives. The implementation results indicate that consumers can easily compare and purchase products with ESG indicators applied, and it is anticipated that this system will be utilized in recommending products with social value and environmental friendliness.

• Korean Journal of Clinical Pharmacy
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• v.21 no.3
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• pp.280-291
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• 2011

Vaccines are products for immunization which can provoke antibodies by eliciting immune reponses without causing disease and have played an important role in preventing fatal and contagious diseases as well as H1N1 influenza. They are classified by two following categories; lived attenuated vaccine and killed vaccine and currently commonly using vaccines are BCG, diphtheria, tetanus, mumps, measles, rubella, polio, Haemophilus influenza type b, hepatitis B, influenza etc. All vaccines must be used correctly to reach optimal therapeutic goals and also informed well to patients to decrease potential problems. In order to do, pharmacists must have good knowledge of vaccines. The purpose of this study is to evaluate the necessity of vaccine education for pharmacists and develop a vaccine leaflet for patient counseling. We have performed a survey with questionnaire for a total of 176 pharmacists and nurses(hospital pharmacists, n=65; community pharmacists, n=50; hospital nurses, n=61) from January 27th to March 12th, 2010. The questionnaire includes items about vaccine education and counseling and 12 quizzes to evaluate responders' knowledge of vaccines. We used the SPSS(Version 12. for windows) program to analyze the data. In results, 94.9% of all responders said they had not been educated on vaccines. And only 1.1% of all responders said they know about vaccines enough to counsel patients. Pharmacists who have an experience recommending vaccines to other people are 21.7%. On the other hand, nurses who have an experience recommending vaccines to other people are 55.7%(p=0.000). The mean number of correct answers at the 12 quizzes are followings; hospital pharmacist, 8.1; community pharmacist, 6.1, hospital nurses, 6.2(p=0.000). A vaccine leaflet for patient counseling is developed with several references. In conclusion, due to no opportunity of vaccine education, pharmacists have no confidence to counsel patients and lack of knowledge of vaccine. But importance of vaccine's role is increasing, pharmacists should counsel patients in vaccination. So they need vaccine education and a vaccine leaflet will be helpful for their counseling.

• Korean journal of applied entomology
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• v.46 no.2
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• pp.251-259
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• 2007

For the development of integrated pest management system by harmonizing biological and chemical control, some experiments wee carried out to select low toxic pesticides against natural enemies. and their residual toxicity were evaluated. Leaf dipping method, body dipping method, and diet treatment method were set up for the toxicity evaluation against Cotesia glomerata adults. We had tested 46 different pesticides (31 insecticides, 11 fungicides, 4 herbicides) at recommending concentration commonly used to control diamond back moth, disease and up-land weeds in chinese cabbage field. Twenty three insecticides, eleven fungicides, and four herbicides were shown to be low toxic to C. glomerata adults in the treatment of body dipping. After insecticide spraying at recommending dose on the chinese cabbage, we examined residual effect of insecticides by introducing natural enemies on different days. Safety interval for the introduction of C. glomerata adults was established according to the residual toxicity of pesticides. Safe insecticides for the introduction of C. glomerata adults at one day after treatment (DAT) were thiacloprid, acephate, chlorfenapyr, clothianidin and at 3 DAT were imidacloprid, deltamethrin, thiamethoxam, dimethylvinphos, emamectin benzoate.