• Title/Summary/Keyword: Nose Detection

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Flehmen Induction with Goats by the Urine of Twenty Animal Species

  • Kang, M.S.;Sasada, H.;Kanomata, K.;Fukuoka, T.;Masaki, J.
    • Korean Journal of Animal Reproduction
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    • v.12 no.1
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    • pp.48-50
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    • 1988
  • Flehmen is well-known response which often occurs during the process of courtship in most mammals. Recent studies with domestic ruminants suggest that the flehmen may be involved in the mechanism of transferring some pheromonal substances to vomeronasal organ. Thus, variety of its significancehas been supposed, besides that male animals may use it for estrus detection. In this experiment, 8 male, 3 female and3 castrated goats of Saanen and its hybrid were used to ascertain whether urine from alien species can induce flehmen as that from same species. Urine was collected from twenty species consisting of 15 mammals, 3 birds and 2 reptiles and frozen until use. Mostly urine was sprayed to the nose of goats, but some coagulated ones were sniffed. Duration of flehmen was scored to four ranks as 0, 1-19, 20-39 and >40 sec. Each urine sample induced the response in any goats. However, much difference in the in tensity was found between the samples and according to the reproductive state of the receptor goats. Although individual difference was manifest, male goats generally showed more intense response than did female. Castrated goats showed the intermediate pattern. Administration of antiandrogen to the male goat tended to reduce the response. The results indicate that flehmen in the goat could occur for the urine of alien species as that of same species and the androgen may be one of the factors regulating the response.

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A Study on Mouth Features Detection in Face using HMM (HMM을 이용한 얼굴에서 입 특징점 검출에 관한 연구)

  • Kim, Hea-Chel;Jung, Chan-Ju;Kwag, Jong-Se;Kim, Mun-Hwan;Bae, Chul-Soo;Ra, Snag-Dong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.04a
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    • pp.647-650
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    • 2002
  • The human faces do not have distinct features unlike other general objects. In general the features of eyes, nose and mouth which are first recognized when human being see the face are defined. These features have different characteristics depending on different human face. In this paper, We propose a face recognition algorithm using the hidden Markov model(HMM). In the preprocessing stage, we find edges of a face using the locally adaptive threshold scheme and extract features based on generic knowledge of a face, then construct a database with extracted features. In training stage, we generate HMM parameters for each person by using the forward-backward algorithm. In the recognition stage, we apply probability values calculated by the HMM to input data. Then the input face is recognized by the euclidean distance of face feature vector and the cross-correlation between the input image and the database image. Computer simulation shows that the proposed HMM algorithm gives higher recognition rate compared with conventional face recognition algorithms.

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Distance measurement System from detected objects within Kinect depth sensor's field of view and its applications (키넥트 깊이 측정 센서의 가시 범위 내 감지된 사물의 거리 측정 시스템과 그 응용분야)

  • Niyonsaba, Eric;Jang, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.279-282
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    • 2017
  • Kinect depth sensor, a depth camera developed by Microsoft as a natural user interface for game appeared as a very useful tool in computer vision field. In this paper, due to kinect's depth sensor and its high frame rate, we developed a distance measurement system using Kinect camera to test it for unmanned vehicles which need vision systems to perceive the surrounding environment like human do in order to detect objects in their path. Therefore, kinect depth sensor is used to detect objects in its field of view and enhance the distance measurement system from objects to the vision sensor. Detected object is identified in accuracy way to determine if it is a real object or a pixel nose to reduce the processing time by ignoring pixels which are not a part of a real object. Using depth segmentation techniques along with Open CV library for image processing, we can identify present objects within Kinect camera's field of view and measure the distance from them to the sensor. Tests show promising results that this system can be used as well for autonomous vehicles equipped with low-cost range sensor, Kinect camera, for further processing depending on the application type when they reach a certain distance far from detected objects.

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Image Registration of Cloudy Pushbroom Scanner Images (구름을 포함한 푸쉬브룸 스캐너 영상의 밴드간 상호등록)

  • Lee, Won-Hee;Yu, Su-Hong;Heo, Joon
    • Korean Journal of Remote Sensing
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    • v.27 no.1
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    • pp.9-15
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    • 2011
  • Since PAN(panchromatic) and MS(multispectral) imagery of pushbroom scanner have the offset between PAN and MS CCD(charge coupled device) in the focal plane, PAN and MS images are acquired at different time and angle. Since clouds are fast moving objects, they should lead mis-registration problem with wrong matching points on clouds. The registration of cloudy imagery to recognize and remove the contamination of clouds can be categorized into three classes: (1) cloud is considered as nose and removed (2) employing multi-spectral imagery (3) using multi-temporal imagery. In this paper, method (1) and (3) are implemented and analysed with cloudy pushbroom scanner images.

Berberine Hydrochloride Impact on Physiological Processes and Modulation of Twist Levels in Nasopharyngeal Carcinoma CNE-1 Cells

  • Li, Cai-Hong;Wu, Dong-Fang;Ding, Hang;Zhao, Yang;Zhou, Ke-Yuan;Xu, De-Feng
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.4
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    • pp.1851-1857
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    • 2014
  • Objective: The main purpose of this work was to investigate the effect of berberine hydrochloride (BH) on the proliferation, apoptosis, migration, and invasion of CNE-1 nasopharyngeal carcinoma cells. Our results shed light on the functional components of traditional Chinese herbs for potential use in modern medicine. Methods: The CNE-1 cell line was treated with different concentrations of BH and effects on cell viability and proliferation were evaluated using the Cell Counting Kit-8 (CCK-8) assay. Anti-migratory and anti-invasive actions of BH were investigated using wound healing assays and the Millicell Hanging cell culture insert system, respectively. Expression of the epithelial-mesenchymal transition (EMT)-related gene twist (Twist) was analyzed by real-time PCR and Western blotting. Apoptosis was estimated with an annexin-V fluorescein (FITC) apoptosis detection kit, as well as with reference to levels of activated caspase-3 of CNE-1 cells before and after treatment with BH utilizing fluorescence spectroscopy. Results: BH was capable of reducing proliferation and viability of CNE-1 cells in a dose- and time-dependent manner, also demonstrating anti-migratory and anti-invasive capacities which correlated with reduction in expression of Twist. Finally, BH was able to induce significant amounts of apoptosis in CNE-1 cells, as demonstrated by an increase in the activity of caspase-3 and in annexin-V staining following treatment. Conclusion: BH extracted from rhizoma coptidis demonstrated an ability to block proliferation, induce apoptosis, and impair the migration and invasion of the CNE-1 cell line Considering these properties, our results suggest that BH could be an important compound for consideration in the treatment of nasopharyngeal carcinoma.

3D Face Alignment and Normalization Based on Feature Detection Using Active Shape Models : Quantitative Analysis on Aligning Process (ASMs을 이용한 특징점 추출에 기반한 3D 얼굴데이터의 정렬 및 정규화 : 정렬 과정에 대한 정량적 분석)

  • Shin, Dong-Won;Park, Sang-Jun;Ko, Jae-Pil
    • Korean Journal of Computational Design and Engineering
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    • v.13 no.6
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    • pp.403-411
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    • 2008
  • The alignment of facial images is crucial for 2D face recognition. This is the same to facial meshes for 3D face recognition. Most of the 3D face recognition methods refer to 3D alignment but do not describe their approaches in details. In this paper, we focus on describing an automatic 3D alignment in viewpoint of quantitative analysis. This paper presents a framework of 3D face alignment and normalization based on feature points obtained by Active Shape Models (ASMs). The positions of eyes and mouth can give possibility of aligning the 3D face exactly in three-dimension space. The rotational transform on each axis is defined with respect to the reference position. In aligning process, the rotational transform converts an input 3D faces with large pose variations to the reference frontal view. The part of face is flopped from the aligned face using the sphere region centered at the nose tip of 3D face. The cropped face is shifted and brought into the frame with specified size for normalizing. Subsequently, the interpolation is carried to the face for sampling at equal interval and filling holes. The color interpolation is also carried at the same interval. The outputs are normalized 2D and 3D face which can be used for face recognition. Finally, we carry two sets of experiments to measure aligning errors and evaluate the performance of suggested process.

Face Recognition by Fiducial Points Based Gabor and LBP Features (특징점기반 Gabor 및 LBP 피쳐를 이용한 얼굴 인식)

  • Kim, Jin-Ho
    • The Journal of the Korea Contents Association
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    • v.13 no.1
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    • pp.1-8
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    • 2013
  • The accuracy of a real facial recognition system can be varied according to the accuracy of the eye detection algorithm when we design and implement a semi-automatic facial recognition algorithm depending on the eye position of a database. In this paper, a fully automatic facial recognition algorithm is proposed such that Gabor and LBP features are extracted from fiducial points of a face graph which was created by using fiducial points based on the eyes, nose, mouth and border lines of a face, fitted on the face image. In this algorithm, the recognition performance could be increased because a face graph can be fitted on a face image automatically and fiducial points based LPB features are implemented with the basic Gabor features. The simulation results show that the proposed algorithm can be used in real-time recognition for more than 1,000 faces and produce good recognition performance for each data set.

Effects of Irradiation Temperature on the Sensory Quality Improvement of Gamma-irradiated Ganjang-gejang, Korean Traditional Marinated Raw Crab Portunus trituberculatus in Soybean Sauce

  • Park, Jae-Nam;Byun, Eui-Baek;Han, In-Jun;Song, Beom-Seok;Sohn, Hee-Sook;Park, Sang-Hyun;Byun, Eui-Hong;Yoon, Minchul;Sung, Nak-Yun
    • Fisheries and Aquatic Sciences
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    • v.18 no.2
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    • pp.115-121
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    • 2015
  • This study was conducted to confirm quality properties of sterilized Ganjang-gejang (marinated crab Portunus trituberculatus) with Korean soy sauce using by gamma irradiation and to improve quality of sterilized Ganjang-gejang. The Ganjang-gejang was irradiated at dose of 3, 6, 9, 12, and 15 kGy by gamma irradiation and there was evaluated in microbiological, physicochemical, and sensory properties. Total aerobic bacteria and fungi contents of non-irradiated samples were about 6 and 4 log CFU/g level, respectively. Gamma-irradiated samples at above 9 kGy did not contain aerobic bacteria or fungi at detection limit less than 2 log CFU/g, but sensory scores were significantly decreased depending on the irradiation dose. To improve the sensory qualities of gamma-irradiated Ganjang-gejang, the temperature was adjusted during sample irradiation. When samples were irradiated under freezing temperatures, especially on dry ice, the TBARS and the deterioration of sensory qualities of Ganjan-Gejang were reduced. Different odor patterns were observed among samples, as observed using electronic nose analysis system. The results of this study indicated that treatment with irradiation under low temperatures may help to preparing high-quality Ganjang-gejang.

Real-time Vital Signs Measurement System using Facial Image Data (안면 이미지 데이터를 이용한 실시간 생체징후 측정시스템)

  • Kim, DaeYeol;Kim, JinSoo;Lee, KwangKee
    • Journal of Broadcast Engineering
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    • v.26 no.2
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    • pp.132-142
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    • 2021
  • The purpose of this study is to present an effective methodology that can measure heart rate, heart rate variability, oxygen saturation, respiration rate, mental stress level, and blood pressure using mobile front camera that can be accessed most in real life. Face recognition was performed in real-time using Blaze Face to acquire facial image data, and the forehead was designated as ROI (Region Of Interest) using feature points of the eyes, nose, and mouth, and ears. Representative values for each channel of the ROI were generated and aligned on the time axis to measure vital signs. The vital signs measurement method was based on Fourier transform, and noise was removed and filtered according to the desired vital signs to increase the accuracy of the measurement. To verify the results, vital signs measured using facial image data were compared with pulse oximeter contact sensor, and TI non-contact sensor. As a result of this work, the possibility of extracting a total of six vital signs (heart rate, heart rate variability, oxygen saturation, respiratory rate, stress, and blood pressure) was confirmed through facial images.

Post-COVID-19 pain syndrome: a descriptive study in Turkish population

  • Topal, Ilknur;Ozcelik, Necdet;Atayoglu, Ali Timucin
    • The Korean Journal of Pain
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    • v.35 no.4
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    • pp.468-474
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    • 2022
  • Background: The new type of corona virus has a wide range of symptoms. Some people who have COVID-19 can experience long-term effects from their infection, known as post-COVID conditions. The authors aimed to investigate prolonged musculoskeletal pain as a symptom of the post-COVID-19 condition. Methods: This is a descriptive study on the patients who were diagnosed with COVID-19 in a university hospital, between March 2020 and March 2021. Patient records and an extensive questionnaire were used to obtain relevant demographic and clinical characteristics, including hospitalization history, comorbidities, smoking history, duration of the pain, the area of pain, and the presence of accompanying neuropathic symptoms. Results: Of the diagnosed patients, 501 agreed to participate in the study. Among the participants, 318 had musculoskeletal pain during COVID-19 infection, and 69 of them reported prolonged pain symptoms as part of their a post-COVID condition which could not be attributed to any other cause. The mean duration of pain was 4.38 ± 1.73 months, and the mean pain level was 7.2 ± 4.3. Neuropathic pain symptoms such as burning sensation (n = 16, 23.2%), numbness (n = 15, 21.7%), tingling (n = 10, 14.5%), stinging (n = 4, 5.8%), freezing (n = 1, 1.4%) were accompanied in patients with prolonged musculoskeletal pain. Conclusions: Patients with COVID-19 may develop prolonged musculoskeletal pain. In some patients, neuropathic pain accompanies it. Awareness of prolonged post-COVID-19 pain is crucial for its early detection and management.