• Title/Summary/Keyword: Research Information Systems

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Fine Feature Sensing and Restoration by Tactile Examination of PVDF Sensor

  • Yoon, Seong-Sik;Kang, Sung-Chul;Lee, Woo-Sub;Choi, Hyouk-Ryeol;Oh, Sang-Rok
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.942-947
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    • 2003
  • An important signal processing problem in PVDF sensor is the restoration of surface information from electric sensing signals. The objectives of this research are to design a new texture sensing system and to develop a new signal processing algorithm for signals from the sensor to be tangibly displayed by tangible interface systems. The texture sensing system is designed to get surface information with high resolution and dynamic range. First, a PVDF sensor is made of piezoelectric polymer (polyvinylidene fluoride) strips molded in a silicon rubber and attached in a rigid cylinder body. The sensor is mounted to a scanning system for dynamic sensing. Secondly, a new signal processing algorithm is developed to restore surface information. The algorithm consists of the two-dimensional modeling of the sensor using an identification method and inverse filtering from sensing signals into estimated surface information. Finally the two-dimensional surface information can be experimentally reconstructed from sensing signals using the developed signal processing algorithm.

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A Study on the Impact of Employee's Person-Environment Fit and Information Systems Acceptance Factors on Performance: The Mediating Role of Social Capital (조직구성원의 개인-환경적합성과 정보시스템 수용요인이 성과에 미치는 영향에 관한 연구: 사회자본의 매개역할)

  • Heo, Myung-Sook;Cheon, Myun-Joong
    • Asia pacific journal of information systems
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    • v.19 no.2
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    • pp.1-42
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    • 2009
  • In a knowledge-based society, a firm's intellectual capital represents the wealth of ideas and ability to innovate, which are indispensable elements for the future growth. Therefore, the intellectual capital is evidently recognized as the most valuable asset in the organization. Considered as intangible asset, intellectual capital is the basis based on which firms can foster their sustainable competitive advantage. One of the essential components of the intellectual capital is a social capital, indicating the firm's individual members' ability to build a firm's social networks. As such, social capital is a powerful concept necessary for understanding the emergence, growth, and functioning of network linkages. The more social capital a firm is equipped with, the more successfully it can establish new social networks. By providing a shared context for social interactions, social capital facilitates the creation of new linkages in the organizational setting. This concept of "person-environment fit" has long been prevalent in the management literature. The fit is grounded in the interaction theory of behavior. The interaction perspective has a fairly long theoretical tradition, beginning with proposition that behavior is a function of the person and environment. This view asserts that neither personal characteristics nor the situation alone adequately explains the variance in behavioral and attitudinal variables. Instead, the interaction of personal and situational variables accounts for the greatest variance. Accordingly, the person-environment fit is defined as the degree of congruence or match between personal and situational variables in producing significant selected outcomes. In addition, information systems acceptance factors enable organizations to build large electronic communities with huge knowledge resources. For example, the Intranet helps to build knowledge-based communities, which in turn increases employee communication and collaboration. It is vital since through active communication and collaborative efforts can employees build common basis for shared understandings that evolve into stronger relationships embedded with trust. To this aim, the electronic communication network allows the formation of social network to be more viable to rapid mobilization and assimilation of knowledge assets in the organizations. The purpose of this study is to investigate: (1) the impact of person-environment fit(person-job fit, person-person fit, person-group fit, person-organization fit) on social capital(network ties, trust, norm, shared language); (2) the impact of information systems acceptance factors(availability, perceived usefulness, perceived ease of use) on social capital; (3) the impact of social capital on personal performance(work performance, work satisfaction); and (4) the mediating role of social capital between person-environment fit and personal performance. In general, social capital is defined as the aggregated actual or collective potential resources which lead to the possession of a durable network. The concept of social capital was originally developed by sociologists for their analysis in social context. Recently, it has become an increasingly popular jargon used in the management literature in describing organizational phenomena outside the realm of transaction costs. Since both environmental factors and information systems acceptance factors affect the network of employee's relationships, this study proposes that these two factors have significant influence on the social capital of employees. The person-environment fit basically refers to the alignment between characteristics of people and their environments, thereby resulting in positive outcomes for both individuals and organizations. In addition, the information systems acceptance factors have rather direct influences on the social network of employees. Based on such theoretical framework, namely person-environment fit and social capital theory, we develop our research model and hypotheses. The results of data analysis, based on 458 employee cases are as follow: Firstly, both person-environment fit(person-job fit, person-person fit, person-group fit, person-organization fit) and information systems acceptance factors(availability perceived usefulness, perceived ease of use) significantly influence social capital(network ties, norm, shared language). In addition, person-environment fit is a stronger factor influencing social capital than information systems acceptance factors. Secondly, social capital is a significant factor in both work satisfaction and work performance. Finally, social capital partly plays a mediating role between person-environment fit and personal performance. Our findings suggest that it is vital for firms to understand the importance of environmental factors affecting social capital of employees and accordingly identify the importance of information systems acceptance factors in building formal and informal relationships of employees. Firms also need to reflect their recognition of the importance of social capital's mediating role in boosting personal performance. Some limitations arisen in the course of the research and suggestions for future research directions are also discussed.

Fuzzy Neural Newtork Pattern Classifier

  • Kim, Dae-Su;Hun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.1 no.3
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    • pp.4-19
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    • 1991
  • In this paper, we propose a fuzzy neural network pattern classifier utilizing fuzzy information. This system works without any a priori information about the number of clusters or cluster centers. It classifies each input according to the distance between the weights and the normalized input using Bezdek's [1] fuzzy membership value equation. This model returns the correct membership value for each input vector and find several cluster centers. Some experimental studies of comparison with other algorithms will be presented for sample data sets.

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The system of examination of efficiency for competitive project

  • Tom, I.;Krasko, O.
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10b
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    • pp.90-95
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    • 1992
  • Authors have developed the method of selecting the efficient variant of designing a systems or products from a some number of competition variants in the conditions of vagueness of the initial information. Registration of information vagueness degree concerning the quantity index values is carried out of the expense of giving to the expert the possibility of using different methods of index evaluation numerical evaluations with physical scale; phrases of limited language; and points evaluation. Using of this method and software is important for marketing research, for systems of quality control of products.

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Batch Size Distribution in Input Flow to Queues with Finite Buffer Affects the Loss Probability

  • Kim Che-Soong;Oh Young-Jin
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.1
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    • pp.1-6
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    • 2006
  • Queueing models are good models for fragments of communication systems and networks, so their investigation is interesting for theory and applications. Theses queues may play an important role for the validation of different decomposition algorithms designed for investigating more general queueing networks. So, in this paper we illustrate that the batch size distribution affects the loss probability, which is the main performance measure of a finite buffer queues.

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Deep Packet Inspection for Intrusion Detection Systems: A Survey

  • AbuHmed, Tamer;Mohaisen, Abedelaziz;Nyang, Dae-Hun
    • Information and Communications Magazine
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    • v.24 no.11
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    • pp.25-36
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    • 2007
  • Deep packet inspection is widely recognized as a powerful way which is used for intrusion detection systems for inspecting, deterring and deflecting malicious attacks over the network. Fundamentally, almost intrusion detection systems have the ability to search through packets and identify contents that match with known attach. In this paper we survey the deep packet inspection implementations techniques, research challenges and algorithm. Finally, we provide a comparison between the different applied system.

Advanced Big Data Analysis, Artificial Intelligence & Communication Systems

  • Jeong, Young-Sik;Park, Jong Hyuk
    • Journal of Information Processing Systems
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    • v.15 no.1
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    • pp.1-6
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    • 2019
  • Recently, big data and artificial intelligence (AI) based on communication systems have become one of the hottest issues in the technology sector, and methods of analyzing big data using AI approaches are now considered essential. This paper presents diverse paradigms to subjects which deal with diverse research areas, such as image segmentation, fingerprint matching, human tracking techniques, malware distribution networks, methods of intrusion detection, digital image watermarking, wireless sensor networks, probabilistic neural networks, query processing of encrypted data, the semantic web, decision-making, software engineering, and so on.

Outage Probability Analysis of Multiuser MISO Systems Exploiting Joint Spatial Diversity and Multiuser Diversity with Outdated Feedback

  • Diao, Chunjuan;Xu, Wei;Chen, Ming;Wu, Bingyang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.9
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    • pp.1573-1595
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    • 2011
  • In this paper, the outage performance of multiuser multiple-input single-output (MISO) systems exploiting joint spatial and multiuser diversities is investigated for Rayleigh fading channels with outdated feedback. First, we derive closed-form exact outage probabilities for the joint diversity schemes that combine user scheduling with different spatial diversity techniques, including: 1) transmit maximum-ratio combining (TMRC); 2) transmit antenna selection (TAS); and 3) orthogonal space-time block coding (OSTBC). Then the asymptotic outage probabilities are analyzed to gain more insights into the effect of feedback delay. It is observed that with outdated feedback, the asymptotic diversity order of the multiuser OSTBC (M-OSTBC) scheme is equal to the number of transmit antennas at the base station, while that of the multiuser TMRC (M-TMRC) and the multiuser TAS (M-TAS) schemes reduce to one. Further by comparing the asymptotic outage probabilities, it is found that the M-TMRC scheme outperforms the M-TAS scheme, and the M-OSTBC scheme can perform best in the outage regime of practical interest when the feedback delay is large. Theoretical analysis is verified by simulation results.

The Practice of Accounting Information Systems in Korea : The State of Art (우리나라 회계정보시스템의 현황 및 개선방안)

  • Han, In-Gu;Jeon, Yeong-Seung;Kim, Eun-Hong
    • Asia pacific journal of information systems
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    • v.3 no.2
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    • pp.93-116
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    • 1993
  • This study surveys 212 accounting information systems (AIS) of 85 manufacturing firms by using the research model based on the management process of AIS to figure out the current status and problems of the computing environment and AIS of Korean firms. The analysis of the current status leads to the suggestions to promote the utilization and efficiency of AIS. The level of experiences and education of information system (IS) personnel turns out to be still low. More education is needed to upgrade the IS personnel. AIS users lack in the computer knowledge. The users need more computer education. The analysis on the computerization and information characteristics of the AIS subsystems shows that the computerization is well established in the financial accounting area. On the other hand, the computerization for managerial accounting areas is in its early stage. The managerial accounting systems need be developed to support the managerial decision making effectively. The majority of firms develop the AIS by their own IS teams. When firms use the consulting services in developing AIS, they prefer accounting firms. The majority of firms fail to evaluate the AIS because the evaluation tools are not available. Most firms do not perform the auditing for AIS. It is needed to develop the tool and techniques for evalauation and auditing AIS.

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A Study of 3D Design Data Extraction for Thermal Forming Information

  • Kim, Jung;Park, Jung-Seo;Jo, Ye-Hyan;Shin, Jong-Gye;Kim, Won-Don;Ko, Kwang-Hee
    • Journal of Ship and Ocean Technology
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    • v.12 no.3
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    • pp.1-13
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    • 2008
  • In shipbuilding, diverse manufacturing techniques for automation have been developed and used in practice. Among them, however, the hull forming automation is the one that has not been of major concern compared with others such as welding and cutting. The basis of the development of this process is to find out how to extract thermal forming information. There exist various methods to obtain such information and the 3D design shape that needs to be formed should be extracted first for getting the necessary thermal forming information. Except well-established shipyards which operate 3D design systems, most of the shipyards only rely on 2.5D design systems and do not have an easy way to obtain 3D surface design data. So in this study, various shipbuilding design systems used by shipyards are investigated and a 3D design surface data extraction method is proposed from those design systems. Then an example is presented to show the extraction of real 3D surface data using the proposed method and computation of thermal forming information using the data.