• Title/Summary/Keyword: selection approach

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Selection of a Grammatical Subject in English Correlative Conjunction Phrases: An Optimality-Theoretic Approach

  • Khym, Han-Gyoo
    • International Journal of Advanced Culture Technology
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    • v.5 no.4
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    • pp.44-50
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    • 2017
  • The topic of selection of a grammatical subject in a correlative conjunction phrase has long failed to attract the attention of linguists due to some difficulties not only in figuring out the internal structure of NP's conjoined by a correlative conjunction but also in its heavy dependency on the representational aspects each correlative conjunction demonstrates. In this paper, I have explored the seemingly complex patterns in the selection of a grammatical subject in a correlative conjunction phrase in the frame of the Optimality Theory (Prince & Smolensky 1993, 2008). I show that, with the help of three newly developed constraints such as MinDist, Focus, and PARSE which are ranked relatively to each other, an optimal grammatical subject out of two NP candidates conjoined by a correlative conjunction can be correctly selectable.

A Study on the Convergence of Optimal Value using Selection Method in Genetic Algorithms (유전자 알고리즘에서 선택 기법을 이용한 해의 수렴 과정에 관한 연구)

  • 김용범;김병재;박명규
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.20 no.42
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    • pp.171-179
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    • 1997
  • Genetic Algorithms face an inherent conflict between exploitation and exploration. Exploitation refers to taking advantage of information already obtained in the search. Exploration show that a pattern in bits coupled with another pattern elsewhere in the string is more effective. In this paper shows that the selection method has a major impact on the balance between exploitation and exploration. A more heavy-handed approach seeks to exploit the available information. If decisions must be made quickly, especially those in real-time trading environments, then quicker convergence through exploitation may be more desirable. Also this paper we present some theoretical and empirical the selection method in genetic algorithms for a GA-hard problem.

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Route Selection in a Dynamic Multi-Agent Multilayer Electronic Supply Network

  • Mahdavi, Iraj;Fazlollahtabar, Hamed;Shafieian, S. Hosna;Mahdavi-Amiri, Nezam
    • Journal of Information Technology Applications and Management
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    • v.17 no.1
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    • pp.141-155
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    • 2010
  • We develop an intelligent information system in a multilayer electronic supply chain network. Using the internet for supply chain management (SCM) is a key interest for contemporary managers and researchers. It has been realized that the internet can facilitate SCM by making real time information available and enabling collaboration between trading partners. Here, we propose a multi-agent system to analyze the performance of the elements of a supply network based on the attributes of the information flow. Each layer consists of elements which are differentiated by their performance throughout the supply network. The proposed agents measure and record the performance flow of elements considering their web interactions for a dynamic route selection. A dynamic programming approach is applied to determine the optimal route for a customer in the end-user layer.

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Comparing Feature Selection Methods in Spam Mail Filtering

  • Kim, Jong-Wan;Kang, Sin-Jae
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2005.11a
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    • pp.17-20
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    • 2005
  • In this work, we compared several feature selection methods in the field of spam mail filtering. The proposed fuzzy inference method outperforms information gain and chi squared test methods as a feature selection method in terms of error rate. In the case of junk mails, since the mail body has little text information, it provides insufficient hints to distinguish spam mails from legitimate ones. To address this problem, we follow hyperlinks contained in the email body, fetch contents of a remote web page, and extract hints from both original email body and fetched web pages. A two-phase approach is applied to filter spam mails in which definite hint is used first, and then less definite textual information is used. In our experiment, the proposed two-phase method achieved an improvement of recall by 32.4% on the average over the $1^{st}$ phase or the $2^{nd}$ phase only works.

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A Study on the Selection of Production and Transportation Partners in Supply Chain Management (공급사슬경영에서 생산 및 운송 파트너 선정에 관한 연구)

  • 고창성;노재정;최진수
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2001.10a
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    • pp.150-153
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    • 2001
  • The selection of the optimal partners in supply chain management is one of the most critical success factors. In the past, partners for outsourcing production were selected repeatedly within a closed group of candidates due to the limited information and location of partners. But, the wide use of internet and the development of electronic commerce make it possible that the partners capable of providing the optimal services are selected regardless of their location or nationality. And the concept of partners was limited to the provider of production resources. In the supply chain management, the concept should be extended to the provider of transportation and warehouse due to the high portion of transportation cost among the total production cost Therefore, In this study, we propose an analytical approach to the selection of Production and transportation partners in supply chain management. For this purpose a mathematical model is developed, and then a heuristic algorithm based on tabu search is presented since the model belongs to the NP hard problem.

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Cost Driver Selection and Aggregation for Activity-Based Costing (활동기준원가시스템의 원가동인 선택 및 병합)

  • Lee, Han;Lee, Kyung-Keun
    • Korean Management Science Review
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    • v.17 no.2
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    • pp.115-124
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    • 2000
  • Activity-Based Costing(ABC) is an accounting cost system which allocates the overhead cost to each cost object more accurately. ABC system achieves improved accuracy in estimating the cost of cost object by using multiple cost drivers to trace the cost of activities to the cost objects associated with the resources consumed by those activities. The selection and the aggregation of these cost driver candidates can pose difficult problems. This paper deals with these problems in mathematical programming approach. The first model is formulated as an integer programming model in cost driver selection and the second model is formulated as multi-objective goal programming model in reduction of cost drivers already selected.

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A Study on the Site Selection of Unmanned Post Office Considering the Operation Cost by the Mail Volume (우편물량 규모에 따른 운영비용 기준의 무인화 대상우체국 선정에 관한 연구)

  • Choi, Jiyoung;Lee, Jeong-hun
    • Korean Management Science Review
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    • v.33 no.3
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    • pp.1-18
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    • 2016
  • Recently, ordinary mail is decreasing continuously by the development of ICT (Information and Communications Technology) including E-mail, messenger service, and etc. On the contrary, parcel post is increasing by the increase of online shopping, home shopping, and etc. Aside from these changes, the demand for various mail acceptance and delivery means is increasing with the increase of single households and dual-income couples. To overcome these environmental changes, Korea Post installs unmanned post offices which are composed of various unmanned mail acceptance and delivery postal systems. In this paper, we propose the methodological approach for the site selection of unmanned post office among the existing post offices and the installation standard of unmanned postal system considering the operation cost by the mail volume.

A Study on general logistic center of agriculture products for location selection model (농산물 종합물류센터조성을 위한 입지선정 평가요인 분석)

  • 김규창
    • Journal of Distribution Research
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    • v.3 no.1
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    • pp.145-158
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    • 1998
  • The selection of proposed sites for the general logistic center of agriculture products would be made the most suitable place by considering the spread of population as real consumers, the prospect of the demand, the expansion of traffic system, the regional, hourly and carring traffic volume and the use of land based urban planning, etc. As the preconsideration, the possible occupant companies have to be selected on the category of business and the district. After posing questions and having interview, several selected regions would be compared and analysed for deciding the most suitable place. The model for the general logistic center of agricultural products must be selected taking key factors approach for choosing key factors at first and referring to many documentary records. And the more, cooperating with the specialists for location selection and making objective questions to concerned companies, the most suitable place is selected by marking high score for the moderate land cost, the low traffic jam, the connection with the back cities and the possible expansion as the general logistic center of agriculture products.

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Selection of Technology Platform for Mobile Banking Using the Analytical Hierarchy Process (계층분석과정을 이용한 모바일 뱅킹 플랫폼 선정에 관한 연구: 우즈벡 은행을 중심으로)

  • Normatov, Ismatilla;Alieva, Jamila;Lee, Young-Chan
    • Knowledge Management Research
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    • v.12 no.3
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    • pp.97-109
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    • 2011
  • The purpose of this paper is to analyze what are the key determinants in selection of mobile banking technology platform, main challenges in a given developments of technology as well as rate the importance of factors in regards to various criterions. In addition, this paper proposes comprehensive approach for solving mobile banking technology platform selection problem. To serve the purpose, this paper uses the Analytic Hierarchy Process (AHP) to select best mobile banking technology platform for not only in functionality aspect, but also in organizational aspect. We expect that the results of this study will be useful for banks who have intention to select mobile banking technology platform in the future.

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Efficient Key Detection Method in the Correlation Electromagnetic Analysis Using Peak Selection Algorithm

  • Kang, You-Sung;Choi, Doo-Ho;Chung, Byung-Ho;Cho, Hyun-Sook;Han, Dong-Guk
    • Journal of Communications and Networks
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    • v.11 no.6
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    • pp.556-563
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    • 2009
  • A side channel analysis is a very efficient attack against small devices such as smart cards and wireless sensor nodes. In this paper, we propose an efficient key detection method using a peak selection algorithm in order to find the advanced encryption standard secret key from electromagnetic signals. The proposed method is applied to a correlation electromagnetic analysis (CEMA) attack against a wireless sensor node. Our approach results in increase in the correlation coefficient in comparison with the general CEMA. The experimental results show that the proposed method can efficiently and reliably uncover the entire 128-bit key with a small number of traces, whereas some extant methods can reveal only partial subkeys by using a large number of traces in the same conditions.