• Title/Summary/Keyword: 측정기법

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Multimodal Emotional State Estimation Model for Implementation of Intelligent Exhibition Services (지능형 전시 서비스 구현을 위한 멀티모달 감정 상태 추정 모형)

  • Lee, Kichun;Choi, So Yun;Kim, Jae Kyeong;Ahn, Hyunchul
    • Journal of Intelligence and Information Systems
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    • v.20 no.1
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    • pp.1-14
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    • 2014
  • Both researchers and practitioners are showing an increased interested in interactive exhibition services. Interactive exhibition services are designed to directly respond to visitor responses in real time, so as to fully engage visitors' interest and enhance their satisfaction. In order to install an effective interactive exhibition service, it is essential to adopt intelligent technologies that enable accurate estimation of a visitor's emotional state from responses to exhibited stimulus. Studies undertaken so far have attempted to estimate the human emotional state, most of them doing so by gauging either facial expressions or audio responses. However, the most recent research suggests that, a multimodal approach that uses people's multiple responses simultaneously may lead to better estimation. Given this context, we propose a new multimodal emotional state estimation model that uses various responses including facial expressions, gestures, and movements measured by the Microsoft Kinect Sensor. In order to effectively handle a large amount of sensory data, we propose to use stratified sampling-based MRA (multiple regression analysis) as our estimation method. To validate the usefulness of the proposed model, we collected 602,599 responses and emotional state data with 274 variables from 15 people. When we applied our model to the data set, we found that our model estimated the levels of valence and arousal in the 10~15% error range. Since our proposed model is simple and stable, we expect that it will be applied not only in intelligent exhibition services, but also in other areas such as e-learning and personalized advertising.

Application of Priority Order Selection Technique for Water Quality Improvment in Stream Watershed by Relationship of Flow and Water Quality (유량-수질관계 비교를 통한 하천 수질개선 우선순위 선정기법 적용)

  • Lim, Bong-Su;Cho, Byung-Wook;Kim, Young-Il;Kim, Do-Young
    • Journal of Korean Society of Environmental Engineers
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    • v.32 no.8
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    • pp.802-808
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    • 2010
  • This study was carried out to apply the method of priority order selection for water quality improvement of watershed. The monitoring of flow and water quality, grouping branch streams and discharge load density were estimated on 18 branch streams located in middle and lower area of Geum River, Chungcheongnam-do. Based on average BOD concentration of stream at low flow, the results of the water quality analysis of stream which excess river living standard class 2 (less than BOD 3 mg/L) are Jeongancheon, Bangchukcheon, Gilsancheon, Jocheon, Seokseongcheon and Ganggyeongcheon. As a result of grouping stream, stream that have more than $10\;m^3/min$ of flow and more than 3.0 mg/L of average BOD concentration such as Group A are Jocheon, Seokseongcheon, Ganggyeongcheon and Jeongancheon. In Group A, stream corresponds to over than discharge load density as of 10 BOD kg/$day{\cdot}km^2$ is Jocheon, Seokseongcheon and Ganggyeongcheon. In view of the selected results to improve water quality basin through monitoring of flow and water quality, grouping stream, and estimation of discharge load density, Jocheon in Yeongi, Seokseongcheon located on the border of Buyeo and Nonsan, Ganggyeongcheon on Nonsan such as stream basin were urgent to improve water quality.

Inactivation of Infectious Cryptosporidium parvum by Various Disinfectants (다양한 소독제에 의한 감염성 크립토스포리디움 불활성화율 평가)

  • Byun, Seung-Heon;Lee, Mok-Young;Cho, Eun-Ju;Yoon, Tae-Ho;Kim, Tae-Ho;Han, Sun-Hee
    • Journal of Korean Society of Environmental Engineers
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    • v.29 no.5
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    • pp.533-539
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    • 2007
  • Cell culture infectivity assay using HCT-8 cell was combined with most-probable-number technique to evaluate the inactivation of Cryptosporidium parvum by various disinfectants, including chlorine, ozone, and UV light. The assay was demonstrated to be as sensitive as animal infectivity assay, which has been considered the "gold standard" for assessing Cryptosporidium oocyst infectivity, and a valuable tool to evaluate inactivation of C. parvum by disinfectants. Bench-scale inactivation study showed that at the condition of $5^{\circ}C$ and pH 7.0, CT value of $1,250mg{\cdot}min/L$ by chlorine and $16mg{\cdot}min/L$ by ozone were required to achieve approximately 1.0 log inactivation of C. parvum, suggesting that even ozone could not be sufficient to inactivate C, parvum at low. temperature. Unlike chlorine and ozone, UV light is very effective to inactivate C. parvum, regardless of temperature. A UV light dose of 2 $mJ/cm^2$ provided at least 3 log inactivation of C. parvum.

Gravity-Geologic Prediction of Bathymetry in the Drake Passage, Antarctica (Gravity-Geologic Method를 이용한 남극 드레이크 해협의 해저지형 연구)

  • 김정우;도성재;윤순옥;남상헌;진영근
    • Economic and Environmental Geology
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    • v.35 no.3
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    • pp.273-284
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    • 2002
  • The Gravity-Geologic Method (GGM) was implemented for bathymetric determinations in the Drake Passage, Antarctica, using global marine Free-air Gravity Anomalies (FAGA) data sets by Sandwell and Smith (1997) and local echo sounding measurements. Of the 6548 bathymetric sounding measurements, two thirds of these points were used as control depths, while the remaining values were used as checkpoints. A density contrast of 9.0 gm/㎤ was selected based on the checkpoints predictions with changes in the density contrast assumed between the seawater and ocean bottom topographic mass. Control depths from the echo soundings were used to determine regional gravity components that were removed from FAGA to estimate the gravity effects of the bathymetry. These gravity effects were converted to bathymetry by inversion. In particular, a selective merging technique was developed to effectively combine the echo sounding depths with the GGM bathymetiy to enhance high frequency components along the shipborne sounding tracklines. For the rugged bathymetry of the research area, the GGM bathymetry shows correlation coefficients (CC) of 0.91, 0.92, and 0.85 with local shipborne sounding by KORDI, GEODAS, and a global ETOPO5 model, respectively. The enhanced GGM by selective merging shows imploved CCs of 0.948 and 0.954 with GEODAS and Smith & Sandwell (1997)'s predictions with RMS differences of 449.8 and 441.3 meters. The global marine FAGA data sets and other bathymetric models ensure that the GGM can be used in conjunction with shipborne bathymetry from echo sounding to extend the coverage into the unmapped regions, which should generate better results than simply gridding the sparse data or relying upon lower resolution global data sets such as ETOPO5.

Estimation of Impurities from Commercially Available Glycyrrhizin Standards by the HPLC/ESI-MS (HPLC/ESI-MS에 의한 글리시리진 표준품의 불순물 추정)

  • Myung, Seung-Woon;Min, Hye-Ki;Kim, Myungsoo;Kim, Young Lim;Park, Seong-Soo;Cho, Jung Hee;Lee, Jong-Chul;Cho, Hyun-Woo;Kim, Taek-Jae
    • Analytical Science and Technology
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    • v.13 no.4
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    • pp.504-510
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    • 2000
  • The impurity profiles from the raw materials of glycyrrhizin were performed by the high performance liquid chromatography (HPLC)/electrospray ionization (ESI)- mass spectrometry (MS). For the HPLC experiment, a $C_{18}$($3.9{\times}300mm$, $10{\mu}m$) column was used and the mobile phase was acetic acid/$H_2O$ (1:10):acetonitrile=3:2 with a flow rate of 0.8 ml/min. The effluent was splitted into the ratio of 50:1 and went into the ESI-MS. Three to six impurities were found and informed of the identification of the structure of the impurities by ESI-MS. And the structures of impurities were suggested to a hydroxy-glycyrrhizin which is added with hydroxy group (-OH) in the glycyrrhetic acid moiety and a reduced-glycyrrhizin which the position of 12 of the glycyrrhetic acid moiety is reduced. The purities of the standard materials were about 90%.

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Effectiveness of the Respiratory Gating System for Stereotectic Radiosurgery of Lung Cancer (Lung Cancer의 Stereotactic Radiosurgery시 Respiratory Gating system의 유용성에 대한 연구)

  • Song Heung Kwon;Kim Min Su;Yang Oh Nam;Park Cheol Su;Kwon Kyung Tae;Kim Jeong Man
    • 대한방사선치료학회:학술대회논문집
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    • 2005.06a
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    • pp.13-17
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    • 2005
  • Introduction : For stereotactic radiosurgery (SRS) of a tumor in the region whose movement due to respiration is significant, like Lung lower lobe, the gated therapy, which delivers radiation dose to the selected respiratory phases when tumor motion is small, was peformed using the Respiratory gating system and its clinical effectiveness was evaluated. Methode and Materials : For two SRS patients with a tumor in Lung lower lobe, a marker block (infrared reflector) was attached on the abdomen. While patient' respiratory cycle was monitored with Real-time Position Management (RPM, Varian, USA), 4D CT was performed (10 phases per a cycle). Phases in which tumor motion did not change rapidly were decided as treatment phases. The treatment volume was contoured on the CT images for selected treatment phases using maximum intensity projection (MIP) method. In order to verify setup reproducibility and positional variation, 4D CT was repeated. Result : Gross tumor volume (GTV) showed maximum movement in superior-inferior direction. For patient $\#$1, motion of GTV was reduced to 2.6 mm in treatment phases ($30\%\~60\%$), while that was 9.4 mm in full phases ($0\%\~90\%$) and for patient $\#$2, it was reduced to 2.3 mm in treatment phases ($30\%\~70\%$), while it was 11.7 mm in full phases ($0\%\~90\%$). When comparing two sets of CT images, setup errors in all the directions were within 3 mm. Conclusion : Since tumor motion was reduced less than 5 mm, the Respiratory gating system for SRS of Lung lower lobe is useful.

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A Dynamic Recommendation System Using User Log Analysis and Document Similarity in Clusters (사용자 로그 분석과 클러스터 내의 문서 유사도를 이용한 동적 추천 시스템)

  • 김진수;김태용;최준혁;임기욱;이정현
    • Journal of KIISE:Software and Applications
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    • v.31 no.5
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    • pp.586-594
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    • 2004
  • Because web documents become creation and disappearance rapidly, users require the recommend system that offers users to browse the web document conveniently and correctly. One largely untapped source of knowledge about large data collections is contained in the cumulative experiences of individuals finding useful information in the collection. Recommendation systems attempt to extract such useful information by capturing and mining one or more measures of the usefulness of the data. The existing Information Filtering system has the shortcoming that it must have user's profile. And Collaborative Filtering system has the shortcoming that users have to rate each web document first and in high-quantity, low-quality environments, users may cover only a tiny percentage of documents available. And dynamic recommendation system using the user browsing pattern also provides users with unrelated web documents. This paper classifies these web documents using the similarity between the web documents under the web document type and extracts the user browsing sequential pattern DB using the users' session information based on the web server log file. When user approaches the web document, the proposed Dynamic recommendation system recommends Top N-associated web documents set that has high similarity between current web document and other web documents and recommends set that has sequential specificity using the extracted informations and users' session information.

Multiple Cause Model-based Topic Extraction and Semantic Kernel Construction from Text Documents (다중요인모델에 기반한 텍스트 문서에서의 토픽 추출 및 의미 커널 구축)

  • 장정호;장병탁
    • Journal of KIISE:Software and Applications
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    • v.31 no.5
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    • pp.595-604
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    • 2004
  • Automatic analysis of concepts or semantic relations from text documents enables not only an efficient acquisition of relevant information, but also a comparison of documents in the concept level. We present a multiple cause model-based approach to text analysis, where latent topics are automatically extracted from document sets and similarity between documents is measured by semantic kernels constructed from the extracted topics. In our approach, a document is assumed to be generated by various combinations of underlying topics. A topic is defined by a set of words that are related to the same topic or cooccur frequently within a document. In a network representing a multiple-cause model, each topic is identified by a group of words having high connection weights from a latent node. In order to facilitate teaming and inferences in multiple-cause models, some approximation methods are required and we utilize an approximation by Helmholtz machines. In an experiment on TDT-2 data set, we extract sets of meaningful words where each set contains some theme-specific terms. Using semantic kernels constructed from latent topics extracted by multiple cause models, we also achieve significant improvements over the basic vector space model in terms of retrieval effectiveness.

Effects of Local Climatic Conditions on the Yearly Cone Production in Progeny Test Stands of Korean White Pine (국지기후가 잣나무 차대검정림의 년도별 구과 결실량에 미치는 영향)

  • 신만용;장용석;한상억;김영채
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.4 no.3
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    • pp.141-150
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    • 2002
  • This study was conducted to reveal the effects of local climatic conditions on the yearly cone production in progeny test stand of Korean white pine. For this, yearly cone production by locality of progeny test stands was first measured and analyzed. The effects of climatic conditions on the cone production was analyzed by the estimation of yearly local climates based on both a topoclimatological method and a spatial statistical technique. From yearly climatic estimates, 19 climatic indices affecting cone production were computed for each of the progeny test stand. The yearly cone productions were then correlated with and regressed to the climatic indices to examine effects of local climatic conditions on the reproductive growth. According to correlation analysis, it was found that some typical climatic indices by locality were significantly correlated with the cone production. Also, the optimal regression equations which can estimate cone production by local climatic conditions were provided for applying to each of the progeny test stand of Korean white pine.

Implementation of Video-Forensic System for Extraction of Violent Scene in Elevator (엘리베이터 내의 폭행 추출을 위한 영상포렌식 시스템 구현)

  • Shin, Kwang-Seong;Shin, Seong-Yoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.10
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    • pp.2427-2432
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    • 2014
  • Color-$X^2$ is used as a method for scene change detection. It extracts a violent scene in an elevator and then could be used for real-time surveillance of criminal acts. The scene could be also used to secure after-discovered evidences and to prove analysis processes. Video Forensic is defined as a research on various methods to efficiently analyze evidences upon crime-related visual images in the field of digital forensic. The method to use differences of color-histogram detects the difference values of histogram for RGB color from two frames respectively. Our paper uses Color-$X^2$ histogram that is composed of merits of color histogram and ones of $X^2$ histogram, in order to efficiently extract violent scenes in elevator. Also, we use a threshold so as to find out key frame, by use of existing Color-$X^2$ histogram. To increase the probability that discerns whether a real violent scene or not, we take advantage of statistical judgments with 20 sample visual images.