• Title/Summary/Keyword: Power Feature

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Eddy Covariance Measurement of CH4 Flux in a Rice Paddy in Gimje, Korea (김제 논에서 메탄 플럭스의 에디 공분산 관측)

  • Talucder, Samiul Ahsan;Yun, Juyeol;Kang, Namgoo;Shim, Kyo Moon;Kim, Joon
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2013.11a
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    • pp.28-29
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    • 2013
  • We have been measuring $CH_4$ flux in a rice paddy in Gimje using the eddy covariance method since July 2011. In order to measure the fast fluctuations of $CH_4$ concentration, an innovative LI-7700 open-path laser spectrometer is used. This high-precision, low power, light weight, low maintenance sensor enables us to operate it on a continuous and long-term basis. One particular feature, among other things, is the self-cleaning lower mirror which decreases maintenance requirements while ensuring more robust, continuous, high-quality dataset. Its cleaning is initiated at user-specified time intervals or a signal strength threshold, and its status is recorded as a diagnostic index. We have noticed that the operation of LI-7700 at Gimje site is quite challenging particularly due to its frequent mirror cleaning requirement and the associated sensitivity of the instrument. In this presentation, we present some field observation data regarding the mirror cleaning and their analysis, thereby suggesting the pertinent operation options for high-quality, maximum data retrieval in the field.

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Security and Privacy Mechanism using TCG/TPM to various WSN (다양한 무선네트워크 하에서 TCG/TPM을 이용한 정보보호 및 프라이버시 매커니즘)

  • Lee, Ki-Man;Cho, Nae-Hyun;Kwon, Hwan-Woo;Seo, Chang-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.5
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    • pp.195-202
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    • 2008
  • In this paper, To improve the effectiveness of security enforcement, the first contribution in this work is that we present a clustered heterogeneous WSN(Wareless Sensor Network) architecture, composed of not only resource constrained sensor nodes, but also a number of more powerful high-end devices acting as cluster heads. Compared to sensor nodes, a high-end cluster head has higher computation capability, larger storage, longer power supply, and longer radio transmission range, and it thus does not suffer from the resource scarceness problem as much as a sensor node does. A distinct feature of our heterogeneous architecture is that cluster heads are equipped with TC(trusted computing) technology, and in particular a TCG(Trusted Computing Group) compliant TPM (Trusted Platform Module) is embedded into each cluster head. According the TCG specifications, TPM is a tamper-resistant, self-contained secure coprocessor, capable of performing cryptographic functions. A TPM attached to a host establishes a trusted computing platform that provides sealed storage, and measures and reports the integrity state of the platform.

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A Study on the Transition Process of Fisheries Industry, Fisheries Institute of West Coast of Korea (Around the Gogunsan Islands and adjacent Area) (우리 나라 서해안(西海岸)의 수산업(水產業) 및 수산교육기관(水產敎育機關)의 변천과정(變遷過程)에 관한 사적(史的) 고찰(考察) (고군산(古群山) 군도(群島)의 인접지역(隣接地域)을 중심(中心)으로))

  • Lee, Kil-Rae
    • Journal of Fisheries and Marine Sciences Education
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    • v.11 no.1
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    • pp.24-42
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    • 1999
  • I have studied historical transition process of fisheries industries, fisheries Institute in abreast of developing fisheries industries of west coast of Korea since 1910 year with regard to the Gogunsan Is. The results were summarized as follows. In 1910 year, fishery industry has been carried out shifting fishing gear e.g set-net in shallow waters, small stow net, small seine net adapting to the tophorgrapical feature, shape of coast, oceanic condition, however, the fishing gear and fishing method were undeveloped, so that, Japanese fishermen had been exploited fisheries resources penetrating the fishing ground. Most important species were lot of captured croaker, cod, spanish mackeral, sea abream, herring in coastal sea. nowaday, squid, anchovy, shrimp, crab, pompret were much captured. The species were captured in 18 century were not captured. It is rarely than that period. Fishereis aquatic culture had been not farmed till 1960 year, but sea laver, shrimp, crab, had been breeded 1970 year also, the fresh water fish e.g. eel, cat-fish had been breeded activately. The fisheries processing industry were composed of salt. icing, dry, method. the salted fish industry had been prevailed at Gangyng, Kwangchon, Kunsan, Julpo comparatively. The fisheries institute had been established at Kunsan at first, but institute established in other region had been abolished in a short time. This phenomenon was related with development of fisheries resources. The western coast fisheries industries had been wasted of decreasing of fisheries resources, variation of environment. Accordingly, the study of preserving the marine resources. educated man power who engaged in fisheries field have to accomplish. Sea was dying with reason of loss of mud in west coast factory waste, waste of life the increase of accident of sea polluted, each illegal fishing industry physical and chemical reason etc. in this respect, Kusan maritime college, fisheries developing agency, institute have to take important role for developing fishing industry.

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Automated detection of corrosion in used nuclear fuel dry storage canisters using residual neural networks

  • Papamarkou, Theodore;Guy, Hayley;Kroencke, Bryce;Miller, Jordan;Robinette, Preston;Schultz, Daniel;Hinkle, Jacob;Pullum, Laura;Schuman, Catherine;Renshaw, Jeremy;Chatzidakis, Stylianos
    • Nuclear Engineering and Technology
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    • v.53 no.2
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    • pp.657-665
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    • 2021
  • Nondestructive evaluation methods play an important role in ensuring component integrity and safety in many industries. Operator fatigue can play a critical role in the reliability of such methods. This is important for inspecting high value assets or assets with a high consequence of failure, such as aerospace and nuclear components. Recent advances in convolution neural networks can support and automate these inspection efforts. This paper proposes using residual neural networks (ResNets) for real-time detection of corrosion, including iron oxide discoloration, pitting and stress corrosion cracking, in dry storage stainless steel canisters housing used nuclear fuel. The proposed approach crops nuclear canister images into smaller tiles, trains a ResNet on these tiles, and classifies images as corroded or intact using the per-image count of tiles predicted as corroded by the ResNet. The results demonstrate that such a deep learning approach allows to detect the locus of corrosion via smaller tiles, and at the same time to infer with high accuracy whether an image comes from a corroded canister. Thereby, the proposed approach holds promise to automate and speed up nuclear fuel canister inspections, to minimize inspection costs, and to partially replace human-conducted onsite inspections, thus reducing radiation doses to personnel.

Multi-mode cable vibration control using MR damper based on nonlinear modeling

  • Huang, H.W.;Liu, T.T.;Sun, L.M.
    • Smart Structures and Systems
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    • v.23 no.6
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    • pp.565-577
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    • 2019
  • One of the most effective countermeasures for mitigating cable vibration is to install mechanical dampers near the anchorage of the cable. Most of the dampers used in the field are so-called passive dampers where their parameters cannot be changed once designed. The parameters of passive dampers are usually determined based on the optimal damper force obtained from the universal design curve for linear dampers, which will provide a maximum additional damping for the cable. As the optimal damper force is chosen based on a predetermined principal vibration mode, passive dampers will be most effective if cable undergoes single-mode vibration where the vibration mode is the same as the principal mode used in the design. However, in the actual engineering practice, multi-mode vibrations are often observed for cables. Therefore, it is desirable to have dampers that can suppress different modes of cable vibrations simultaneously. In this paper, MR dampers are proposed for controlling multi-mode cable vibrations, because of its ability to change parameters and its adaptability of active control without inquiring large power resources. Although the highly nonlinear feature of the MR material leads to a relatively complex representation of its mathematical model, effective control strategies can still be derived for suppressing multi-mode cable vibrations based on nonlinear modelling, as proposed in this paper. Firstly, the nonlinear Bouc-wen model is employed to accurately portray the salient characteristics of the MR damper. Then, the desired optimal damper force is determined from the universal design curve of friction dampers. Finally, the input voltage (current) of MR damper corresponding to the desired optimal damper force is calculated from the nonlinear Bouc-wen model of the damper using a piecewise linear interpolation scheme. Numerical simulations are carried out to validate the effectiveness of the proposed control algorithm for mitigating multi-mode cable vibrations induced by different external excitations.

Detection and Classification for Low-altitude Micro Drone with MFCC and CNN (MFCC와 CNN을 이용한 저고도 초소형 무인기 탐지 및 분류에 대한 연구)

  • Shin, Kyeongsik;Yoo, Sinwoo;Oh, Hyukjun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.3
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    • pp.364-370
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    • 2020
  • This paper is related to detection and classification for micro-sized aircraft that flies at low-altitude. The deep-learning based method using sounds coming from the micro-sized aircraft is proposed to detect and identify them efficiently. We use MFCC as sound features and CNN as a detector and classifier. We've proved that each micro-drones have their own distinguishable MFCC feature and confirmed that we can apply CNN as a detector and classifier even though drone sound has time-related sequence. Typically many papers deal with RNN for time-related features, but we prove that if the number of frame in the MFCC features are enough to contain the time-related information, we can classify those features with CNN. With this approach, we've achieved high detection and classification ratio with low-computation power at the same time using the data set which consists of four different drone sounds. So, this paper presents the simple and effecive method of detection and classification method for micro-sized aircraft.

Channel Selection Method of Wireless Sensor Network Nodes for avoiding Interference in 2.4Ghz ISM(Industrial, Scientific, Medical) Band (2.4Ghz ISM(Industrial Scientific Medical) 밴드에서 간섭을 회피하기 위한 무선 센서 노드의 채널 선택 방법)

  • Kim, Su Min;Kuem, Dong Hyun;Kim, Kyung Hoon;Oh, Il;Choi, Seung Won
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.10 no.4
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    • pp.109-116
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    • 2014
  • In recent, ISM (Industrial Scientific Medical) band that is 2.4GHz band authorized free of charge is being widely used for smart phone, notebook computer, printer and portable multimedia devices. Accordingly, studies have been continuously conducted on the possibility of coexistence among nodes using ISM band. In particular, the interference of IEEE 802.11b based Wi-Fi device using overlapping channel during communication among IEEE 802.15.4 based wireless sensor nodes suitable for low-power, low-speed communication using ISM band causes serious network performance deterioration of wireless sensor networks. This paper examined a method of identifying channel status to avoid interference among wireless communication devices using IEEE 802.11b (Wi-Fi) and other ISM bands during communication among IEEE 802.15.4 based wireless sensor network nodes in ISM band. To identify channels occupied by Wi-Fi traffic, various studies are being conducted that use the RSSI (Received Signal Strength Indicator) value of interference signal obtained through ED (Energy Detection) feature that is one of IEEE 802.15.4 transmitter characteristics. This paper examines an algorithm that identifies the possibility of using more accurate channel by mixing utilization of interference signal and RSSI mean value of interference signal by wireless sensor network nodes. In addition, it verifies such algorithm by using OPNET Network verification simulator.

Information Hiding and Detection in MS Office 2007 file (Microsoft Office 2007 파일에의 정보 은닉 및 탐지 방법)

  • Park, Bo-Ra;Park, Jung-Heum;Lee, Sang-Jin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.18 no.3
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    • pp.143-154
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    • 2008
  • Information hiding is a very important technology recently. Having this technology can be a competitive power for secure communication. In this paper, it will be showed that hiding data in MS Office 2007 file is possible. Considering Microsoft (MS) Office 2007 file format is based on Open XML format, the feature of Open XML format makes it possible to hide data in MS Office 2007 file. In Open XML format, unknown XML files and their relationships can be defined by user. These parts and relationships are used to hide data in MS Office 2007 file. Considering unknown parts and unknown relationships are not in normal MS Office 2007 file, the hidden data can be detected by confirming of unknown parts and unknown relationships.

A Study of the Standard Interface Architecture of Naval Combat Management System

  • Baek, Chi-Sun;Ahn, Jin-Hyang
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.1
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    • pp.147-154
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    • 2021
  • Naval Combat Management System(a.k.a. CMS) is the core combat power of ROK Navy. CMS which has been localized since 1993 has been developed in various categories. However, in the characteristic of defense industry, CMS software has been rarely developed technically and structurally while the environment of computing system has been developed dramatically. A need for a new paradigm of CMS software development was raised. This paper suggests Naval Shield Component Platform(NSCP) as a standard interface architecture of CMS based on SOLID of OOP which is an advanced programming paradigm and introduce its functionality and feature. We expect NSCP's higher reusability, concurrency and maintainability in CMS software development. As a future work, we are going to apply NSCP to the next CMS software development project and evaluate quantitative, qualitative method.

Lightweight Single Image Super-Resolution Convolution Neural Network in Portable Device

  • Wang, Jin;Wu, Yiming;He, Shiming;Sharma, Pradip Kumar;Yu, Xiaofeng;Alfarraj, Osama;Tolba, Amr
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.11
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    • pp.4065-4083
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    • 2021
  • Super-resolution can improve the clarity of low-resolution (LR) images, which can increase the accuracy of high-level compute vision tasks. Portable devices have low computing power and storage performance. Large-scale neural network super-resolution methods are not suitable for portable devices. In order to save the computational cost and the number of parameters, Lightweight image processing method can improve the processing speed of portable devices. Therefore, we propose the Enhanced Information Multiple Distillation Network (EIMDN) to adapt lower delay and cost. The EIMDN takes feedback mechanism as the framework and obtains low level features through high level features. Further, we replace the feature extraction convolution operation in Information Multiple Distillation Block (IMDB), with Ghost module, and propose the Enhanced Information Multiple Distillation Block (EIMDB) to reduce the amount of calculation and the number of parameters. Finally, coordinate attention (CA) is used at the end of IMDB and EIMDB to enhance the important information extraction from Spaces and channels. Experimental results show that our proposed can achieve convergence faster with fewer parameters and computation, compared with other lightweight super-resolution methods. Under the condition of higher peak signal-to-noise ratio (PSNR) and higher structural similarity (SSIM), the performance of network reconstruction image texture and target contour is significantly improved.