• Title/Summary/Keyword: Side Information Generation

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PC-SAN: Pretraining-Based Contextual Self-Attention Model for Topic Essay Generation

  • Lin, Fuqiang;Ma, Xingkong;Chen, Yaofeng;Zhou, Jiajun;Liu, Bo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.8
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    • pp.3168-3186
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    • 2020
  • Automatic topic essay generation (TEG) is a controllable text generation task that aims to generate informative, diverse, and topic-consistent essays based on multiple topics. To make the generated essays of high quality, a reasonable method should consider both diversity and topic-consistency. Another essential issue is the intrinsic link of the topics, which contributes to making the essays closely surround the semantics of provided topics. However, it remains challenging for TEG to fill the semantic gap between source topic words and target output, and a more powerful model is needed to capture the semantics of given topics. To this end, we propose a pretraining-based contextual self-attention (PC-SAN) model that is built upon the seq2seq framework. For the encoder of our model, we employ a dynamic weight sum of layers from BERT to fully utilize the semantics of topics, which is of great help to fill the gap and improve the quality of the generated essays. In the decoding phase, we also transform the target-side contextual history information into the query layers to alleviate the lack of context in typical self-attention networks (SANs). Experimental results on large-scale paragraph-level Chinese corpora verify that our model is capable of generating diverse, topic-consistent text and essentially makes improvements as compare to strong baselines. Furthermore, extensive analysis validates the effectiveness of contextual embeddings from BERT and contextual history information in SANs.

Design and Implementation of USN Middleware using DTD GenerationTechnique (DTD 자동 생성 기법을 이용한 USN 미들웨어 설계 및 구현)

  • Nam, Si-Byung;Kwon, Ki-Hyeon;Yu, Myung-Han
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.3
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    • pp.41-50
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    • 2012
  • In the monitoring system based on web service application, it is faced with the problems like code reproduction, difficult scalability and error recovery derived from the frequent change of data structure. So we propose a technique of monitoring system by DTD(Document Type Definition) automatic generation. This technique is to use dynamic server-side script to cope with the change of sensor data structure, generate the DTD dynamically. An it also adapt the AJAX(Asynchronous JavaScript and XML) for XML data parsing, it can support mass data transmission and exception processing for data loss and damage. This technique shows the result of recovery time is decreased about 44.8ms in case of temporary data failure by comparing to the conventional XML method.

Grid-connected Inverter Control Algorithm for Torque Ripple Compensation in Doubly-Fed Induction-type Wind Power Generation System (전원 전압 불평형시 이중여자 유도형 풍력발전 시스템의 토크 리플 저감을 위한 계통연계 인버터 제어 알고리즘)

  • Jeong, Byoung-Chang;Song, Seung-Ho
    • Proceedings of the KIEE Conference
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    • 2005.10c
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    • pp.317-319
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    • 2005
  • In this paper, control algorithm for torque ripple compensation in DFIG wind power generation system is proposed. A simple PI controller is designed for the negative sequence voltage cancellation using negative sequence currents in the grid-side converter. As a result, the stator voltage contains only the positive sequence components and the torque pulsation of the generator is effectively compensated. Propose algorithm is confirmed with PSCAD simulation model.

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A New CBOC Correlation Function for Next Generation GNSS Signal Synchronization (차세대 GNSS 신호 동기화를 위한 새로운 CBOC 상관함수)

  • Lee, Young-Po;Yoon, Tae-Ung;Lee, Myung-Soo;Lee, Young-Yoon;Kim, Sang-Hun;Yoon, Seok-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.7C
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    • pp.724-729
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    • 2009
  • Binary offset carrier (BOC) signal synchronization is based on the correlation between the received and locally generated BOC signals. Thus, the multiple side-peaks in BOC autocorrelation are one of the main error sources in synchronizing BOC signals. Recently, new correlation functions with no side-peak were proposed for sine and cosine phased BOC signal synchronization, respectively, by the authors [3]. In this paper, we propose a new correlation function with no side-peak for composite BOC (CBOC) signals by using the similar approach to that in the previous work.

Investigation of Side Channel Analysis Attacks on Financial IC Cards (금융IC카드에 대한 부채널분석공격 취약성 분석)

  • Kim, Chang-Kyun;Park, Il-Hwan
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.18 no.1
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    • pp.31-39
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    • 2008
  • The development of next-generation resident registration cards, financial IC cards and administrative agency IC cards based on a smart card is currently coming out in Korea. However, the low-price IC cards without countermeasures against side channel analysis attacks are expected to be used fer cost reduction. This paper has investigated the side channel resistance of financial IC cards that are currently in use and have performed DPA attacks on the financial IC cards. We have been able to perform successful DPA attacks on these cards by using only 100 power measurement traces. From our experiment results, we have been able to extract the master key used for encryption of a count PIN number.

An Improved Photovoltaic System Output Prediction Model under Limited Weather Information

  • Park, Sung-Won;Son, Sung-Yong;Kim, Changseob;LEE, Kwang Y.;Hwang, Hye-Mi
    • Journal of Electrical Engineering and Technology
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    • v.13 no.5
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    • pp.1874-1885
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    • 2018
  • The customer side operation is getting more complex in a smart grid environment because of the adoption of renewable resources. In performing energy management planning or scheduling, it is essential to forecast non-controllable resources accurately and robustly. The PV system is one of the common renewable energy resources in customer side. Its output depends on weather and physical characteristics of the PV system. Thus, weather information is essential to predict the amount of PV system output. However, weather forecast usually does not include enough solar irradiation information. In this study, a PV system power output prediction model (PPM) under limited weather information is proposed. In the proposed model, meteorological radiation model (MRM) is used to improve cloud cover radiation model (CRM) to consider the seasonal effect of the target region. The results of the proposed model are compared to the result of the conventional CRM prediction method on the PV generation obtained from a field test site. With the PPM, root mean square error (RMSE), and mean absolute error (MAE) are improved by 23.43% and 33.76%, respectively, compared to CRM for all days; while in clear days, they are improved by 53.36% and 62.90%, respectively.

Distributed Multi-view Video Coding Based on Illumination Compensation (조명보상 기반 분산 다시점 비디오 코딩)

  • Park, Sea-Nae;Sim, Dong-Gyu;Jeon, Byeung-Woo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.45 no.6
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    • pp.17-26
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    • 2008
  • In this paper, we propose a distributed multi-view video coding method employing illumination compensation for multi-view video coding. Distributed multi-view video coding (DMVC) methods can be classified either into a temporal or an inter-view interpolation-based ones according to ways to generate side information. DMVC with inter-view interpolation utilizes characteristics of multi-view videos to improve coding efficiency of the DMVC by using side information based on the inter-view interpolation. However, mismatch of camera parameters and illumination change between two views could bring about inaccurate side information generation. In this paper, a modified distributed multi-view coding method is presented by applying illumination compensation in generating the side information. In the proposed encoder system, in addition to parity bits for AC coefficients, DC coefficients are transmitted as well to the decoder side. By doing so, the decoder can generate more accurate side information by compensating illumination changes with the transmitted DC coefficients. We found that the proposed algorithm is $0.1{\sim}0.2\;dB$ better than the conventional algorithm that does not make use of illumination compensation.

Surface characterization of polyimides for LCDs by second-harmonic generation technique (SHG을 이용한 LCD 배향막 표면 특성분석)

  • 정태혁;윤태훈;김재창
    • Journal of the Korean Institute of Telematics and Electronics D
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    • v.34D no.3
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    • pp.114-122
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    • 1997
  • The surface characteristics of polymers for liquid crystal alignment are studied by optical second-harmonic genertion (SHG) tecnique. Using SHG technique, the LC monolayers on rubbed polymer have already been studied. But, in this paper, the SH signals of polymer were observed and the orientational distribution of oriented polymer was studied. Te SHG experiments for side-chain type and main-chain type polymers are carried out as a function of rubbing strength. The orentational distribution of surface molecules of polymers is compared with the LC pretilt angle measured by the crystal rotation method.

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Simplified PAR Reduction Technique for MIMO-OFDM System (MIMO-OFDM 시스템에서 간략화된 PAR 감쇄 기법)

  • Song Hyoung-Kyu;Kook Hyung-Joon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.12C
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    • pp.1181-1185
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    • 2005
  • A combining of MIMO signal processing with OFDM is regarded as a promising solution of enhancing the performance of next generation wireless system. Therefore, in this paper, an OFDM-based wireless system employing layered space-time architecture is considered for a high-rate transmission. In the MIMO-OFDM system, we evaluate the PAR performance using the SLM approaches. The investigated SLM scheme for MIMO-OFDM signals selects the transmitted sequence with lowest average PAR over all transmitting antennas and retrieves the side information very accurately at the expense of a slight degradation of the PAR performance. The low probability of false side information can improve the overall detection performance of the MIMO-OFDM system with erroneous side information compared to the ordinary SLM approache, respectively. Also, we provide closed form of the average BER performance in MIMO-OFDM system using analytic approach.

Single-Inductor, Multiple-Input-Single-Output Converter Based Energy Mixer for Power Packet Distribution System

  • Reza, C.M.F.S.;Lu, Dylan Dah-Chuan;Qin, Ling;Qi, Jian
    • Journal of Power Electronics
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    • v.18 no.5
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    • pp.1479-1488
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    • 2018
  • Power packet (PP) distribution system distributes power to different loads that share the same distribution cable in a packetized form. When compared with conventional power systems, a PP distribution system (PPDS) can reduce standby power, eliminate Point-of-Load (PoL) power conversion, and intelligently control the load demand from the source side. Due to the absence of PoL conversion, when multiple power sources at different voltage levels and conditioning requirements jointly send power to various loads at different voltage ratings, the generated voltage has an irregular shape. A large filter at each of the load sides is required to reduce such a large voltage ripple. In this paper, a single-inductor, multiple-input-single-output converter structure based multiple-energy-source mixer is proposed. It combines PP generation, maximum power point tracking (MPPT) of renewable energy sources (RESs) and filtering at the source side. To demonstrate the possible renewable energy integration, a PV panel is used as a power source together with other constant voltage sources. The PV power is approximately tracked using the constant voltage method and it is used for each of the PP generations. The proposed PP distribution system is experimentally verified and it is shown that a conventional PI controller is sufficient for stable system operation.