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Implementation of handwritten digit recognition CNN structure using GPGPU and Combined Layer (GPGPU와 Combined Layer를 이용한 필기체 숫자인식 CNN구조 구현)

  • Lee, Sangil;Nam, Kihun;Jung, Jun Mo
    • The Journal of the Convergence on Culture Technology
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    • v.3 no.4
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    • pp.165-169
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    • 2017
  • CNN(Convolutional Nerual Network) is one of the algorithms that show superior performance in image recognition and classification among machine learning algorithms. CNN is simple, but it has a large amount of computation and it takes a lot of time. Consequently, in this paper we performed an parallel processing unit for the convolution layer, pooling layer and the fully connected layer, which consumes a lot of handling time in the process of CNN, through the SIMT(Single Instruction Multiple Thread)'s structure of GPGPU(General-Purpose computing on Graphics Processing Units).And we also expect to improve performance by reducing the number of memory accesses and directly using the output of convolution layer not storing it in pooling layer. In this paper, we use MNIST dataset to verify this experiment and confirm that the proposed CNN structure is 12.38% better than existing structure.

Intervention Efficacy of Mother Training on Social Reciprocity for Children with Autism (자폐아동을 위한 어머니 훈련 프로그램이 가정에서의 사회적 상호작용에 미치는 효과)

  • Won, Dae-Young;Seung, Hye-Kyeung;Elder, Jennifer
    • Child Health Nursing Research
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    • v.11 no.4
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    • pp.444-455
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    • 2005
  • Purpose: This study examined the efficacy of parent training interventions to facilitate social reciprocity and language development in children with autism. Methods: The social interaction behaviors of mothers and children over time were compared using single subject design experimentation methodology. five children who were diagnosed with autism and their mothers participated in the study. The participants were recruited from U city, Korea. The mothers were trained using training videotapes and demonstrations on how to facilitate social interaction with their children as well as promoting language development. following the training, data were collected three times per week by video taping mother-child interaction in their homes. Results: Four of the five mothers demonstrated increases in the use of imitation with animation and expectant waiting after the intervention compared to the baseline sessions; the children demonstrated noticeable increases in the use of initiation of interaction, vocalizations, and verbal production after their mothers received the training intervention. Conclusion : Results of this study demonstrate the efficacy of mother training to improve social interactions of children with autism. Additional important information can be gained by replicating this study with more participants and comparing intervention and control groups. Clearly, this intervention shows promise and has implications far clinical practice.

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Characteristics of Electric-Power Use in Residential Building by Family Composition and Their Income Level (거주자 구성유형 및 소득수준에 따른 주거용 건물 내 전력소비성향)

  • Seo, Hyun-Cheol;Hong, Won-Hwa;Nam, Gyeong-Mok
    • Journal of the Korean housing association
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    • v.23 no.6
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    • pp.31-38
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    • 2012
  • In this paper, we draws tendency of the electricity consumption in residential buildings according to inhabitants Composition types and the level of incomes. it is necessary to reduce energy cost and keep energy security through the electricity demand forecasting and management technology. Progressive social change such as increases of single household, the aging of society, increases in the income level will replace the existing residential electricity demand pattern. However, Only with conventional methods that using only the energy consumption per-unit area are based on Energy final consumption data can not respond to those social and environmental change. To develop electricity demand estimation model that can cope flexibly to changes in the social and environmental, In this paper researches propensity of electricity consumption according to the type of residents configuration, the level of income. First, we typed form of inhabitants in residential that existed in Korea. after that we calculated hourly electricity consumption for each type through National Time-Use Survey performed at the National Statistical Office with considering overlapping behavior. Household appliances and retention standards according to income level is also considered.

A review of herbal medicines for chemotherapy induced peripheral neuropathy (한약을 이용한 chemotherapy-induced peripheral neuropathy (CIPN) 치료 관련 무작위 배정 임상 시험에 대한 고찰)

  • Park, Bongki
    • Journal of Korean Traditional Oncology
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    • v.21 no.2
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    • pp.51-61
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    • 2016
  • Background : Chemotherapy-induced peripheral neuropathy (CIPN) is a common adverse effect in cancer patients who were exposed to chemotherapy. CIPN impacts on the quality of life and could delay chemotherapy. The aim of this review was to assess the therapeutic effectiveness of herbal medicine in CIPN patients. Methods : Randomized controlled trials (RCTs) were included in this review. We searched MEDLINE, Cochrane database, EMBASE, CNKI, Wanfang and four Korean databases without restrictions on time or language. The risk of bias was assessed using the Cochrane risk of bias tool. Results : Eleven RCTs involving 706 patients met the inclusion criteria. Eleven different herbal medicines were examined in the included trials. Almost RCTs showed insufficiency in the reporting randomization method and allocation concealment. One trial used allocation concealment and a double-blinding method. Five studies reported that participants dropped out of RCTs and conducted an 'as-treated analysis'. One trials reported adverse effects of herbal medicine. In ten of the eleven trials, the use of herbal medicine had shown significant differences in clinical symptoms or nerve conduction velocity. Conclusions : The use of herbal medicines for CIPN showed significant improvements in the management of CIPN. However, conclusions cannot be drawn because of the generally low quality of methodology and low quantity of data for each single herbal medicine. Further rigorous trials are needed.

Capacitor Failure Detection Technique for Microgrid Power Converter (마이크로그리드 전력변환장치용 커패시터 고장 검출 기법)

  • Woo-Hyun Lee;Gyang-Cheol Song;Jun-Jae An;Seong-Mi Park;Sung-Jun Park
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.6_2
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    • pp.1117-1125
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    • 2023
  • The DC part of the DC microgrid power conversion system uses capacitors for buffers of charge and discharge energy for smoothing voltage and plays important roles such as high frequency component absorption, power balancing, and voltage ripple reduction. The capacitor uses an aluminum electrolytic capacitor, which has advantages of capacity, low price, and relatively fast charging/discharging characteristics. Aluminum electrolytic capacitors(AEC) have previous advantages, but over time, the capacity of the capacitors decreases due to deterioration and an increase in internal temperature, resulting in a decrease in use efficiency or an accident such as steam extraction due to electrolyte evaporation. It is necessary to take measures to prevent accidents because the failure diagnosis and detection of such capacitors are a very important part of the long-term operation, safety of use, and reliability of the power conversion system because the failure of the capacitor leads to not only a single problem but also a short circuit accident of the power conversion system.

Develop ECO-FREE high concentration Full black dye using transfer printing and application technology (전사날염용 ECO-FREE 고농도 Full Black 염료개발과 응용기술)

  • Cho, Ho-Hyun;Chung, Myung-Hee;Lee, A-Ram
    • Journal of the Korea Fashion and Costume Design Association
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    • v.19 no.2
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    • pp.39-48
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    • 2017
  • Transfer printing is a method to combine printing and dyeing technology by the use of sublimation. It is an environmentally-friendly printing method that saves costs, reduces the production processes by the omission of the washing process, and saves time by maintaining quality. Due to the development of transfer printing, a high value added printing technology is available now but color fastness to sublimation of the printing products is still low since there are few dyes that have an affinity to the fabrics and the application technology is still inadequate. Specially, in case of high concentration black dyes, eco-label type black dyes, which is a substitution for general dispersal dyes, have been developed while general dispersal black dyes are still used, creating issues such as color differences on the surface and back side of the fabrics and contamination by friction after transfer printing. There are also some restricted substances such as allergens. To address these issues, high concentration black dyes and application technology that are environmentally-friendly and that have over 16 K/S through the use of single dyes with excellent color fastness, fixation ability, and similar melting temperature were developed for this study.

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Novel Backprojection Method for Monocular Head Pose Estimation

  • Ju, Kun;Shin, Bok-Suk;Klette, Reinhard
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.13 no.1
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    • pp.50-58
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    • 2013
  • Estimating a driver's head pose is an important task in driver-assistance systems because it can provide information about where a driver is looking, thereby giving useful cues about the status of the driver (i.e., paying proper attention, fatigued, etc.). This study proposes a system for estimating the head pose using monocular images, which includes a novel use of backprojection. The system can use a single image to estimate a driver's head pose at a particular time stamp, or an image sequence to support the analysis of a driver's status. Using our proposed system, we compared two previous pose estimation approaches. We introduced an approach for providing ground-truth reference data using a mannequin model. Our experimental results demonstrate that the proposed system provides relatively accurate estimations of the yaw, tilt, and roll angle. The results also show that one of the pose estimation approaches (perspective-n-point, PnP) provided a consistently better estimate compared to the other (pose from orthography and scaling with iterations, POSIT) using our proposed system.

Proposal of a non-coherent Communication Protocol with Ultra Sonic which can Improve the Communication Speed (넌코히어런트 전송 방식에서 초음파를 이용한 디지털 통신속도 개선 프로토콜 제안)

  • Yoon, Byung-Woo
    • Journal of the Institute of Convergence Signal Processing
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    • v.10 no.1
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    • pp.1-6
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    • 2009
  • Propagation of electromagnetic wave in the water or underground is very difficult because of the conductivity of the propagation materials. In this case, we usually use acoustic signal as ultrasonic but, it is not easy to transfer long distance with coherent method because of time varying multipath, doppler effect, and attenuations. So, we use noncoherent method as FSK to communicate between long distances. But, as the propagation speed of acoustic sound is very slow, the BW of the channel is narrow. It is very hard to guaranty the enough speed of communication like digital image data. In this paper, we proposed a new data communication protocol which can transmit multi-bit digital data with every single ping, and improve the data communication speed in the water.

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Prediction of Groundwater Levels in Hillside Slopes Using the Autoregressive Model (AR 모델을 이용한 산사면에서의 지하수위 예측)

  • Lee, In-Mo;Park, Gyeong-Ho;Im, Chung-Mo
    • Geotechnical Engineering
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    • v.9 no.3
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    • pp.67-76
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    • 1993
  • Korea being composed of a number of mountains has been damaged and destroyed in lives and properties by the occurrence of many landslides during the wet seasons. Therefore, it is necessary to study the forecast system and risk analysis for the occurrence of landslides : the rise of groundwater levels due to rainfall is the main cause of landslides. In this paper, the autoregressive models are used to predict the grondwater levls using cases of both time invariant and time -varing autoregressive coefficients. In the former case, AR(1), AR(2), and AR(3) models are selected and their single-valued parameters are estimated to fit them to the observed groundwater level series. In the latter case, modified AR(1) and typical AR(2) models are used as process model and a discrete Kalman Filtering technique is utilized to estimate the parameters which are themselves a function of time. The results show that the real time forecast system using the time-varying autoregressive coefficinets as well as time -invariant AR model is good to predict the groundwater level in hillside slopes and we might get better result if we use the time-hourly rainfall intensity as well as the observed groundwater level.

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The Effects of Action Observational Training on Muscle Onset Time and Asymmetry to Stand Up in with Stroke Patients (동작관찰훈련이 뇌졸중 환자의 일어서기 동작 시 근수축 개시시간과 비대칭성에 미치는 영향)

  • Yi, Min-Young;Shin, Won-Seob;Kim, Kyung-Hwan;Youn, Hye-Jin
    • PNF and Movement
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    • v.12 no.1
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    • pp.19-25
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    • 2014
  • Purpose: To investigate the effect of action observation training on the muscle onset time and symmetrical use of rectus femoris(RF) and gastrocnemius medialis(GCM) during sit-to-stand (STS). Methods: Sixteen patients with stroke entered a single-blind trial and were randomly assigned to the experimental(Action) or control(Landscape) groups. Those in the Action observation group watched video clips showing specific movement and strategies to STS, wheas those in the control group watched video clips of static pictures showing differnet landscapes. All patients was measured the EMG data in the STS on the affected side and unaffected side. The EMG data were collected from RF and GCM while performing the STS task. The EMG onset time and onset time ratio for the RF and GCM were calculated by dividing the EMG onset time of RF and GCM action on the affected side by these on the unaffected side. Results: Onset time of affected side RF, GCM was significantly faster action observation training group than control group(p<.05). But interventions before and after the symmetry did not show a significant increase. Conclusion: There findings suggest that action observation training has a positive effect on the muscle onset time shortened during STS tasks.