• The Journal of Society for e-Business Studies
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• v.3 no.2
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• pp.57-71
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• 1998

In this paper, we describe the approaches of shopping agents and directory services for online comparison shopping on the web, and propose an information indexing and retrieval system, named InfoEye, with a new method for automatic extraction of product information. The developed method is based on the knowledge about presentation of the product information on the Web. The method from the knowledge about presentation of the product information is derived from both the point that online stores display their products to customers in easy-to-browse ways and heuristics made of analyses of product information look-and-feel of domestic online stores. In indexing process, the method is applied to product information extraction from Hypertext Markup Language (HTML) documents collected by a mirroring robot from online stores. We have made InfoEye to a readily usable stage and transferred the technology to Webnara commercial shopping engine. The proposed system is a cutting-edge solution to help customers as a shopping expert by providing information about the reasonable price of a product from dozens of online stores, saving customers shopping time, giving information about new products, and comparing quality factors of products in a same category.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.1149-1158
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• 2020

NPF Islamic banking needs to be resolved because it affects banking performance in terms of income and the quality of its productive assets. This study aims to solve problems of non-performing financing and assess and analyze whether the implementation of the Islamic Humanity model can reduce the problem of financing at Bank Syariah Mandiri Indonesia. The study uses qualitative method with Miles and Huberman approach for analizing data through four steps which are; (a) data collection (b) data reduction (c) data display, and (d) conclusion drawing/verification. The results of the study found non performing financing can be reduced with using a new approach namely the Islamic Humanity Approach, which is an interaction between several aspects, namely (a) spiritual aspects, (b) economic aspects, (c) social aspects, and (d) justice aspects. The Islamic humanity model carried out in problem-solving activities at Bank Syariah Mandiri Indonesia includes a friendly approach, communication and deliberation in a family, respect for people, empathy, the concept of justice, and the concept of prayer. Islamic humanity approach shows success in reducing non-performing financing. The research concluded Islamic humanity as a new approach to reduce non-performing financing at Bank Syariah Mandiri Indonesia and it can be implemented to all Islamic banking in Indonesia.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.909-916
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• 2021

The purpose of the research to analyze SMEs' technological innovation performance in the Special Region of Yogyakarta based on green supply chains. This study's technology innovation performance is influenced by environmental management practices, green supply chain integration, and supply chain knowledge-sharing. This research is important because many SMEs are underdeveloped in terms of technology innovation performance. Technology innovation performance shows that innovation has a multi-dimensional ecological performance in organizations. Therefore, SMEs' sustainable supply chain could be achieved by managing operations, support, and information by focusing on environmental and social issues to maximize the entire chain. This study used primary data. The number of respondents in this study was 200 SMEs that have implemented green supply chain management practices. The data collection method used was a questionnaire. The data analysis technique tool used is a two-step approach to SEM-AMOS. The results of this study indicate that SMEs are willing to implement a green supply chain to increase their performance. The technological innovation performance model of this study is acceptable. The findings of this research suggest that companies must be encouraged to maintain and increase the implementation of green supply chain integration and better supply chain knowledge-sharing with improved technological innovation performance enhancements.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.415-417
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• 2015

대기오염방지를 위해서는 배출되는 대기오염물질을 측정하고 이를 관리하여 대기오염을 신속히 파악하고 사전에 방지하기 위한 서비스가 필요하다. 본 논문에서는 광학센싱을 이용해 굴뚝연기의 혼탁도를 측정하고 이를 웹과 모바일 기기에서 측정결과를 실시간으로 검색할 수 있는 웹+모바일 시스템을 설계하고 구현한다. 구현된 시스템은 모바일 운영체제에 독립적인 웹앱의 형태로 제공되어 사용자의 다양한 모바일 기기에서 운영될 수 있으며 PC환경의 웹에 내장되어 통합되어져 시스템의 유지보수가 쉽다는 장점이 있다.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.221-233
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• 2017

To survive in the ever-changing environment, organizations need to improve or innovate their business processes. As a result, to attain this objective, BPM (Business Process Management) concept is widely adopted in modern enterprises. BPM life cycle consists of diagnosis, design, implementation and enactment. Conventionally, diagnosis of business process within the BPM life cycle is usually conducted by manual methods such as interviews, questionnaires and direct observations of process. And (re)designing business processes is also usually done manually under supervision of business experts from scratch. It is time-consuming and error-prone tasks. The objective of this research is to integrate the diagnosis and (re)design phase of BPM life cycle by sharing automatically generated process model and basic statistics in the diagnosis phase based on the process mining method. Eventually, this approach will lead to automate the tasks of diagnosis and design of business process. To implement and to show the usefulness of the proposed framework, two case studies were conducted in this research.

• Proceedings of the KSRS Conference
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• v.2
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• pp.627-630
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• 2006

Sequential Pattern Mining is the mining approach which addresses the problem of discovering the existent maximal frequent sequences in a given databases. In the daily and scientific life, sequential data are available and used everywhere based on their representative forms as text, weather data, satellite data streams, business transactions, telecommunications records, experimental runs, DNA sequences, histories of medical records, etc. Discovering sequential patterns can assist user or scientist on predicting coming activities, interpreting recurring phenomena or extracting similarities. For the sake of that purpose, the core of sequential pattern mining is finding the frequent sequence which is contained frequently in all data sequences. Beside the discovery of frequent itemsets, sequential pattern mining requires the arrangement of those itemsets in sequences and the discovery of which of those are frequent. So before mining sequences, the main task is checking if one sequence is a subsequence of another sequence in the database. In this paper, we implement the subsequence matching method as the preprocessing step for sequential pattern mining. Matched sequences in our implementation are the normalized sequences as the form of number chain. The result which is given by this method is the review of matching information between input mapped sequences.

• International Journal of Quality Innovation
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• v.4 no.2
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• pp.101-122
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• 2003

With the development of the American Customer satisfaction index (ACSI), research on customer satisfaction measurement or evaluation methods have become significant in the last decade. Most of international customer satisfaction barometers or indices are evolved based on the cause and effect relationship model of ACSI. Of critical importance to validity of customer satisfaction indices is how to construct a measurement attribute or indicator model and provide an effective implementation method effectively. Quality Function Deployment (QFD) is a very useful tool for translating the customer voice into product design through quality engineering. In fact, this is a methodology for measuring and analyzing evaluation indicators by their relationship matrix. In this paper, we will make an effort to integrate the framework of QFD into the measurement problem of customer satisfaction, and also develop a new multi-phase QFD model for evaluation of Customer Satisfaction Index (CSI). From the houses of quality in this model, the evaluation indicators impacting on customer's global satisfaction are identified by means of their relationship matrix. Then the evaluation indicator hierarchy and its measurement method for the customer satisfaction index are presented graphically. Furthermore, survey data from the Chinese automobile maintenance sector and a relevant case study are utilized to show the implementation method of the QFD model used to measure and analyze of customer satisfaction.

• Korean Journal of Remote Sensing
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• v.22 no.5
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• pp.457-462
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• 2006

Sequential Pattern Mining is the mining approach which addresses the problem of discovering the existent maximal frequent sequences in a given databases. In the daily and scientific life, sequential data are available and used everywhere based on their representative forms as text, weather data, satellite data streams, business transactions, telecommunications records, experimental runs, DNA sequences, histories of medical records, etc. Discovering sequential patterns can assist user or scientist on predicting coming activities, interpreting recurring phenomena or extracting similarities. For the sake of that purpose, the core of sequential pattern mining is finding the frequent sequence which is contained frequently in all data sequences. Beside the discovery of frequent itemsets, sequential pattern mining requires the arrangement of those itemsets in sequences and the discovery of which of those are frequent. So before mining sequences, the main task is checking if one sequence is a subsequence of another sequence in the database. In this paper, we implement the subsequence matching method as the preprocessing step for sequential pattern mining. Matched sequences in our implementation are the normalized sequences as the form of number chain. The result which is given by this method is the review of matching information between input mapped sequences.

• Journal of electromagnetic engineering and science
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• v.15 no.4
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• pp.258-265
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• 2015

A de-embedding method for multiport networks, especially for coupled odd interconnection lines, is presented in this paper. This method does not require a conversion from S-parameters to T-parameters, which is widely used in the de-embedding technique of multiport networks based on cascaded simple two-port relations, whereas here, we apply an operation to the S-matrix to generate all the uncoupled and coupled coefficients. The derivation of the method is based on the relations of incident and reflected waves between the input of the entire network and the input of the intrinsic device under test (DUT). The characteristics of the intrinsic DUT are eventually achieved and expressed as a function of the S-parameters of the whole network, which are easily obtained. The derived coefficients constitute ABCD-parameters for a convenient implementation of the method into cascaded multiport networks. A validation was performed based on a spice-like circuit simulator, and this verified the proposed method for both uncoupled and coupled cases.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.422-433
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• 2021

At this point in time when active participation in renewable energy projects is required, basic information on growth engines and substantial promotion strategies for participation in renewable energy projects is needed. According to the this study tried to provide basic information for vitalizing participation in the renewable energy business by analyzing the factors affecting the new energy business participation roadmap using the multi-layered model. As a result of this study, it can be seen that in order to achieve an effective new energy business participation roadmap, it is necessary to re-establish the new and renewable energy business participation factors by industry. Specifically, it is necessary to prepare appropriate countermeasures such as the leading organization of the project, profit distribution method, green industry financial support, project implementation method, power plant location, and comprehensive long-term strategy, and there is an institutional approach that can promote the development of related industries. found to be necessary. Above all, it suggested that in order to achieve an effective new energy project participation roadmap, an institutional approach is needed that can expand the supply of new and renewable energy while minimizing the burden on the national economy and promote the development of related industries.