• Title/Summary/Keyword: Information process

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A Study on the Features of Visual-Information Acquirement Shown at Searching of Spatial Information - With the Experiment of Observing the Space of Hall in Subway Station - (공간정보의 탐색과정에 나타난 시각정보획득특성에 관한 연구 - 지하철 홀 공간의 주시실험을 대상으로 -)

  • Kim, Jong-Ha
    • Korean Institute of Interior Design Journal
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    • v.23 no.2
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    • pp.90-98
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    • 2014
  • This study has analyzed the meaning of observation time in the course of acquiring the information of subjects who observed the space of hall in subway stations to figure out the process of spatial information excluded and the features of intensive searching. The followings are the results from the analysis of searching process with the interpretation of the process for information acquirement through the interpretation of observation area and time. First, based on the general definition of observation time, the reason for analyzing the features of acquiring spatial information according to the subjects' observation time has been established. The feature of decreased analysis data reflected that of observation time in the process of perceiving and recognizing spatial information, which showed that the observation was focused on the enter of the space during the time spent in the process of observing the space and the spent time with considerable exclusion of bottom end (in particular, right bottom end). Second, while the subjects were observing the space of hall in subway stations, they focused on the top of the left center and the signs on the right exit the most, which was followed by the focus on the both side horizontally and the clock on the top. Third, the analysis of consecutive observation frequency enabled the comparison of the changes to the observation concentration by area. The difference of time by area produced the data with which the change to the contents of spatial searching in the process of searching space could be known. Fourth, as the observation frequency in the area of I changed [three times -> six times -> 9 times], the observation time included in the area increased, which showed the process for the change from perception to recognition of information with the concentration of attention through visual information. It makes it possible to understand that more time was spent on the information to be acquired with the exclusion of the unnecessary information around.

A Study on Process Optimization for Reliability of Tracking and Tracing Information in the field of Postal Logistics (우편물류 종추적 정보 신뢰성 향상을 위한 프로세스 개선방안 연구)

  • Kim, Eun-Hye;Cha, Byung-Chul
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.34 no.2
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    • pp.92-102
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    • 2011
  • Visibility of the flow of goods is an important service element when considering how to improve the quality of a logistics service. Registered mail service of Korea Post, one of logistics service providers, currently supply information on the handling of postal items, such as receipts and delivery and arrival times to customers. However, internally problems related to excessive spending on operating expenses and less reliable tracking and tracing information exist due to errors in the information acquisition and link handling processes, leading to unnecessarily duplicated tasks. Therefore, the purpose of this paper is to propose process optimization method for improving the quality of tracking and tracing information for registered mail items. We analyzed the process and information control system of the current registered mail service and identified the basic causes of the existence of less reliable tracking and tracing information. And we present optimized mail handling and information management process for removing internal problems. Test results using tracking and tracing information examples show a significant performance of the proposed method.

Note on the Transformed Geometric Poisson Processes

  • Park, Jeong-Hyun
    • Journal of the Korean Data and Information Science Society
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    • v.8 no.2
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    • pp.135-141
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    • 1997
  • In this paper, it is investigated the properties of the transformed geometric Poisson process when the intensity function of the process is a distribution of the continuous random variable. If the intensity function of the transformed geometric Poisson process is a Pareto distribution then the transformed geometric Poisson process is a strongly P-process.

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A Study on the Monitoring of Reject Rate in High Yield Process

  • Nam, Ho-Soo
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.3
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    • pp.773-782
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    • 2007
  • The statistical process control charts are very extensively used for monitoring of process mean, deviation, defect rate or reject rate. In this paper we consider a control chart to monitor the process reject rate in the high yield process, which is based on the observed cumulative probability of the number of items inspected until r defective items are observed. We first propose selection of the optimal value of r in the CPC-r charts, and also consider the usefulness of the chart in high yield process such as semiconductor or TFT-LCD manufacturing process.

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BPM as a tool supporting continuous business process innovation;A case of L Electronics (끊임없는 업무 프로세스 개선의 도구로서 BPM;L전자의 사례를 중심으로)

  • Chae, Myoung-Sin;Park, Song-Mee;Chon, Kent
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.1 no.1
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    • pp.157-178
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    • 2006
  • BPMS implementation in L Electronics, which started in 2003, was spotlighted in the IS Project and research area. L Electronics has conducted process innovation with the goal of being one of the Global Top 3 brands. Continuous business environment changes because of globalization and speedy development of information technology have caused changes in business process and functions. This case examines its efforts for optimizing business process continuously and systematically with BPMS and discusses the implication and potential of business process innovation with BPMS.

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A Study on the Adaptability of BIM-based Integrated Building Design Process in Domestic Architectural Design Firms (BIM기반 통합설계프로세스의 국내 적용 가능성에 관한 연구)

  • Lee, Jin-Hee;Jun, Han-Jong
    • Korean Institute of Interior Design Journal
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    • v.16 no.6
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    • pp.19-27
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    • 2007
  • As AEC(architecture, engineering and construction) industry becomes larger and more complex, much information is going into each part and phase. Therefore, the existing building design process has to change and collaboration is emphasized among participants in various fields. The purpose of this study is to compare and analyze existing building design process and integrated building design process based on BIM using a IDEF0 methodology. And then, it establishes a desirable domestic integrated building design process application plan focusing on the design phase of domestic cases. As a result of analysis, flowing conclusions are included ; Firstly, problems occur on the existing building design process that are accomplished with focusing on the outcome. It makes much errors because of 2D-based information. Another problems is that collaboration doesn't go on smoothly. But, integrated building design process is accomplished with the collaboration and the coordination which pursues change and perfects cooperation. Secondly, BIM is a process of effecting optimum integrating, re-using information, and expense reduction throughout the life-cycle of a building. Moreover, it establishes a basis for the integrated building design process to build a collaboration system.

Two-Dimensional Qualitative Asset Analysis Method based on Business Process-Oriented Asset Evaluation

  • Eom, Jung-Ho;Park, Seon-Ho;Kim, Tae-Kyung;Chung, Tai-Myoung
    • Journal of Information Processing Systems
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    • v.1 no.1 s.1
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    • pp.79-85
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    • 2005
  • In this paper, we dealt with substantial asset analysis methodology applied to two-dimensional asset classification and qualitative evaluation method according to the business process. Most of the existent risk analysis methodology and tools presented classification by asset type and physical evaluation by a quantitative method. We focused our research on qualitative evaluation with 2-dimensional asset classification. It converts from quantitative asset value with purchase cost, recovery and exchange cost, etc. to qualitative evaluation considering specific factors related to the business process. In the first phase, we classified the IT assets into tangible and intangible assets, including human and information data asset, and evaluated their value. Then, we converted the quantitative asset value to the qualitative asset value using a conversion standard table. In the second phase, we reclassified the assets using 2-dimensional classification factors reflecting the business process, and applied weight to the first evaluation results. This method is to consider the organization characteristics, IT asset structure scheme and business process. Therefore, we can evaluate the concrete and substantial asset value corresponding to the organization business process, even if they are the same asset type.

Adversarial Detection with Gaussian Process Regression-based Detector

  • Lee, Sangheon;Kim, Noo-ri;Cho, Youngwha;Choi, Jae-Young;Kim, Suntae;Kim, Jeong-Ah;Lee, Jee-Hyong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.8
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    • pp.4285-4299
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    • 2019
  • Adversarial attack is a technique that causes a malfunction of classification models by adding noise that cannot be distinguished by humans, which poses a threat to a deep learning model. In this paper, we propose an efficient method to detect adversarial images using Gaussian process regression. Existing deep learning-based adversarial detection methods require numerous adversarial images for their training. The proposed method overcomes this problem by performing classification based on the statistical features of adversarial images and clean images that are extracted by Gaussian process regression with a small number of images. This technique can determine whether the input image is an adversarial image by applying Gaussian process regression based on the intermediate output value of the classification model. Experimental results show that the proposed method achieves higher detection performance than the other deep learning-based adversarial detection methods for powerful attacks. In particular, the Gaussian process regression-based detector shows better detection performance than the baseline models for most attacks in the case with fewer adversarial examples.

A Tool to Support Personal Software Process (개인 소프트웨어 프로세스 지원을 위한 도구)

  • Shin, Hyun-Il;Jung, Kyoung-Hak;Song, Il-Sun;Choi, Ho-Jin;Baik, Jong-Moon
    • Journal of KIISE:Software and Applications
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    • v.34 no.8
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    • pp.752-762
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    • 2007
  • The PSP (Personal Software Process) is developed to help developers make high-quality products through improving their personal process. With consistent measurement and analysis activity that the PSP suggests, developers can identify process deficiencies and make reliable estimates on effort and quality. However, due to the high-overhead and context-switching problem of manual data recording, developers have difficulties in collecting reliable data, which can lead wrong analysis results. On the other hand, the paper-based process guides of the PSP are inconvenient to navigate its process information and difficult to attach additional information. In this paper, we introduce a PSP supporting tool developed to handle these problems. The tool provides automated data collection facilities to help acquire reliable data, an EPG (Electronic Process Guide) for the PSP to provide easy access and navigation of the process information, and an experience repository to store development experience as additional information about the process.

A Conceptual Approach for Discovering Proportions of Disjunctive Routing Patterns in a Business Process Model

  • Kim, Kyoungsook;Yeon, Moonsuk;Jeong, Byeongsoo;Kim, Kwanghoon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.2
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    • pp.1148-1161
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    • 2017
  • The success of a business process management system stands or falls on the quality of the business processes. Many experiments therefore have been devoting considerable attention to the modeling and analysis of business processes in process-centered organizations. One of those experiments is to apply the probabilistic theories to the analytical evaluations of business process models in order to improve their qualities. In this paper, we excogitate a conceptual way of applying a probability theory of proportions into modeling business processes. There are three types of routing patterns such as sequential, disjunctive, conjunctive and iterative routing patterns in modeling business processes, into which the proportion theory is applicable. This paper focuses on applying the proportion theory to the disjunctive routing patterns, in particular, and formally named proportional information control net that is the formal representation of a corresponding business process model. In this paper, we propose a conceptual approach to discover a proportional information control net from the enactment event histories of the corresponding business process, and describe the details of a series of procedural frameworks and operational mechanisms formally and graphically supporting the proposed approach. We strongly believe that the conceptual approach with the proportional information control net ought to be very useful to improve the quality of business processes by adapting to the reengineering and redesigning the corresponding business processes.