• Title/Summary/Keyword: Innovation of Engineering College

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Polystyrene-b-poly(oligo(ethylene oxide) Monomethyl Ether Methacrylate)-b-polystyrene Triblock Copolymers as Potential Carriers for Hydrophobic Drugs

  • You, Qianqian;Chang, Haibo;Guo, Qipeng;Zhang, Yudong;Zhang, Puyu
    • Bulletin of the Korean Chemical Society
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    • v.34 no.2
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    • pp.558-564
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    • 2013
  • A simple and effective method is introduced to synthesize a series of polystyrene-b-poly(oligo(ethylene oxide) monomethyl ether methacrylate)-b-polystyrene (PSt-b-POEOMA-b-PSt) triblock copolymers. The structures of PSt-b-POEOMA-b-PSt copolymers were characterized by Fourier-transform infrared spectroscopy (FTIR) and nuclear magnetic resonance ($^1H$ NMR) spectroscopy. The molecular weight and molecular weight distribution of the copolymer were measured by gel permeation chromatography (GPC). Furthermore, the self-assembling and drug-loaded behaviours of three different ratios of PSt-b-POEOMA-b-PSt were studied. These copolymers could readily self-assemble into micelles in aqueous solution. The vitamin E-loaded copolymer micelles were produced by the dialysis method. The micelle size and core-shell structure of the block copolymer micelles and the drug-loaded micelles were confirmed by dynamic light scattering (DLS) and transmission electron microscopy (TEM). The thermal properties of the copolymer micelles before and after drug-loaded were investigated by different scanning calorimetry (DSC). The results show that the micelle size is slightly increased with increasing the content of hydrophobic segments and the micelles are still core-shell spherical structures after drug-loaded. Moreover, the glass transition temperature (Tg) of polystyrene is reduced after the drug loaded. The drug loading content (DLC) of the copolymer micelles is 70%-80% by ultraviolet (UV) photolithography analysis. These properties indicate the micelles self-assembled from PSt-b-POEOMA-b-PSt copolymers would have potential as carriers for the encapsulation of hydrophobic drugs.

RSNT-cFastICA for Complex-Valued Noncircular Signals in Wireless Sensor Networks

  • Deng, Changliang;Wei, Yimin;Shen, Yuehong;Zhao, Wei;Li, Hongjun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.10
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    • pp.4814-4834
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    • 2018
  • This paper presents an architecture for wireless sensor networks (WSNs) with blind source separation (BSS) applied to retrieve the received mixing signals of the sink nodes first. The little-to-no need of prior knowledge about the source signals of the sink nodes in the BSS method is obviously advantageous for WSNs. The optimization problem of the BSS of multiple independent source signals with complex and noncircular distributions from observed sensor nodes is considered and addressed. This paper applies Castella's reference-based scheme to Novey's negentropy-based algorithms, and then proposes a novel fast fixed-point (FastICA) algorithm, defined as the reference-signal negentropy complex FastICA (RSNT-cFastICA) for complex-valued noncircular-distribution source signals. The proposed method for the sink nodes is substantially more efficient than Novey's quasi-Newton algorithm in terms of computational speed under large numbers of samples, can effectively improve the power consumption effeciency of the sink nodes, and is significantly beneficial for WSNs and wireless communication networks (WCNs). The effectiveness and performance of the proposed method are validated and compared with three related BSS algorithms through theoretical analysis and simulations.

Generative Linguistic Steganography: A Comprehensive Review

  • Xiang, Lingyun;Wang, Rong;Yang, Zhongliang;Liu, Yuling
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.3
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    • pp.986-1005
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    • 2022
  • Text steganography is one of the most imminent and promising research interests in the information security field. With the unprecedented success of the neural network and natural language processing (NLP), the last years have seen a surge of research on generative linguistic steganography (GLS). This paper provides a thorough and comprehensive review to summarize the existing key contributions, and creates a novel taxonomy for GLS according to NLP techniques and steganographic encoding algorithm, then summarizes the characteristics of generative linguistic steganographic methods properly to analyze the relationship and difference between each type of them. Meanwhile, this paper also comprehensively introduces and analyzes several evaluation metrics to evaluate the performance of GLS from diverse perspective. Finally, this paper concludes the future research work, which is more conducive to the follow-up research and innovation of researchers.

A Lightweight Pedestrian Intrusion Detection and Warning Method for Intelligent Traffic Security

  • Yan, Xinyun;He, Zhengran;Huang, Youxiang;Xu, Xiaohu;Wang, Jie;Zhou, Xiaofeng;Wang, Chishe;Lu, Zhiyi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.12
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    • pp.3904-3922
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    • 2022
  • As a research hotspot, pedestrian detection has a wide range of applications in the field of computer vision in recent years. However, current pedestrian detection methods have problems such as insufficient detection accuracy and large models that are not suitable for large-scale deployment. In view of these problems mentioned above, a lightweight pedestrian detection and early warning method using a new model called you only look once (Yolov5) is proposed in this paper, which utilizing advantages of Yolov5s model to achieve accurate and fast pedestrian recognition. In addition, this paper also optimizes the loss function of the batch normalization (BN) layer. After sparsification, pruning and fine-tuning, got a lot of optimization, the size of the model on the edge of the computing power is lower equipment can be deployed. Finally, from the experimental data presented in this paper, under the training of the road pedestrian dataset that we collected and processed independently, the Yolov5s model has certain advantages in terms of precision and other indicators compared with traditional single shot multiBox detector (SSD) model and fast region-convolutional neural network (Fast R-CNN) model. After pruning and lightweight, the size of training model is greatly reduced without a significant reduction in accuracy, and the final precision reaches 87%, while the model size is reduced to 7,723 KB.

A Study on the Change in Start-up Competence of College Students Participating in Technology Start-up Education Camp (기술창업교육캠프 참가 대학생의 창업역량 변화에 관한 연구)

  • Jeon, Ju Hyun;Lim, Kyoung Su
    • Journal of Engineering Education Research
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    • v.20 no.4
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    • pp.67-72
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    • 2017
  • It was only 2010 when start-up education spread to undergraduate education in South Korea. Start-up education was conducted so late that there are insufficient studies of evaluation and feedback on the effectiveness of start-up education. Education is a complex concept of teaching people in a desirable direction and developing their inherent abilities. Based on this, start-up education can be defined as cultivating students' entrepreneurial spirit internally and making them exhibit start-up competence externally by teaching them the knowledge, skills and attitudes necessary for business start-up and developing abilities such as creativity, challenge spirit and problem-solving skills. This study conducted pre and post survey to check if the education camp for the technology start-up, which is a practice-oriented start-up education, has an effect on the change of the participating students' perceptions about the business start-up. This study would analyze various factors of college students' business start-up through a factorial analysis so that the quantitative accumulation of start-up education can lead to a qualitative change and propose measures for the management of the quality of the education.

The Aggregate Production Efficiency of IT Investment: a Non-Linear Approach

  • Repkine, Alexandre
    • Proceedings of the Technology Innovation Conference
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    • 2002.02a
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    • pp.59-89
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    • 2002
  • The rapid diffusion of information and telecommunication (IT) technologies during the recent decennia produced fundamental changes in the economic activity at a global level, resulting in what became coined as the "new economy". However, empirical evidence on the contribution of IT equipment to growth and productivity is at best mixed, with the more or less consistent results on the positive link between the two relating to the United States in the 1990-s. Although the empirical literature on the link between IT investment and economic performance employs a wide variety of methodologies, the overwhelming majority of the studies appears to be employing the assumption of linearity of the IT-performance relationship and predominantly explores the direct nature thereof. In this study we relax both these assumptions and find that the indirect, or aggregate productive efficiency, effects of IT investment are as important as are the direct ones The estimated non-linear nature of the indirect relationship between IT investment intensity and productive efficiency accommodates the concepts of critical mass and complementary (infrastructure) capital offered in the literature. Our key finding is that the world economy′s average level of IT investment intensity remained below the estimated critical mass. Since in this study we developed a methodology that allows one to explicitly measure the critical mass of IT investment intensity, its individual estimation at a country or industrialsector level may help evaluate the extent to which IT investment activity has to be encouraged or discouraged.

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Survey on Communication for Mobile Sinks in Wireless Sensor Networks: Mobility Pattern Perspective

  • Sangdae Kim;Beom-Su Kim;Babar Shah;Sana Ullah;Ki-Il Kim
    • Journal of Internet Technology
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    • v.22 no.2
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    • pp.297-309
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    • 2021
  • Mobile sinks are being exploited for various purposes for solving the hotspot problem. Thus, the mobility support technique of mobile sinks is important, and it has been studied steadily. A survey was conducted of studies of mobile sinks in sensor networks having different movement patterns depending on the applications. The related techniques were divided into three main categories according to mobility pattern: predefined, random, and control. In addition, communications for mobile sinks are strongly affected by whether there is a single mobile sink or multiple ones. Based on this two-level categorization, an overview is presented of some state-of-the-art mobility support techniques researched during the past three years, and then the technique are analyzed according to various criteria. Finally, this survey concludes with a summary and a discussion of some future research challenges.

Immune Algorithm Based Active PID Control for Structure Systems

  • Lee, Young-Jin;Cho, Hyun-Cheol;Lee, Kwon-Soon
    • Journal of Mechanical Science and Technology
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    • v.20 no.11
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    • pp.1823-1833
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    • 2006
  • An immune algorithm is a kind of evolutional computation strategies, which is developed in the basis of a real immune mechanism in the human body. Recently, scientific or engineering applications using this scheme are remarkably increased due to its significant ability in terms of adaptation and robustness for external disturbances. Particularly, this algorithm is efficient to search optimal parameters against complicated dynamic systems with uncertainty and perturbation. In this paper, we investigate an immune algorithm embedded Proportional Integral Derivate (called I-PID) control, in which an optimal parameter vector of the controller is determined offline by using a cell-mediated immune response of the immunized mechanism. For evaluation, we apply the proposed control to mitigation of vibrations for nonlinear structural systems, cased by external environment load such as winds and earthquakes. Comparing to traditional controls under same simulation scenarios, we demonstrate the innovation control is superior especially in robustness aspect.

Building a Successful e-CRM of the Horizontal B2B Between Small Businesses (중소기업간 수평적 B2B하의 성공적 e-CRM 구축)

  • Park Hyun-Cheol;Kim Dong-Gyu
    • The Journal of Information Technology
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    • v.5 no.4
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    • pp.65-72
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    • 2002
  • With the development of information technology and the rapid diffusion of Internet, the scale electronic commerce management is increasing year by year. Domestic small businesses also devote themselves to the creation of profits for the present and for the future, through active electronic commerce management. This paper aims to help small businesses to increase sales by presenting the direction for building a successful e-CRM of the horizontal B2B between small businesses.

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Design of ESN(Educational Sensor Network) for interpretation of the data

  • Park, In-Deok;Paek, Seung-Eun;Kim, Si-Kyung
    • The Journal of Information Technology
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    • v.12 no.3
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    • pp.1-6
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    • 2009
  • This paper has focused on the development of an educational sensor network (ESN) based on wireless sensor networks(WSN) and pervasive monitoring systems for students' activity during scientific experiments. A number of WSN systems have been proposed with integrated wireless transmission, mounted sensor boards and local processing. However, there is no trail to employ WSN on the educational field. In this paper, to facilitate research and development using wireless sensor network and multi-sensor data fusion, the educational sensor network (ESN) hardware development platform is presented. The ESN project is conducted over one semester time period (Spring Semesters). It involves approximately twenty middle school students who enrolled a gifted program in Kongju National University. Though under prepared, these students are in general highly motivated to learning specially when presented with the ESN project. An ESN project such as this is expected to provide an excellent means for teaching and learning scientific and mathematical principles.

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