• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.746-750
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• 2009

In this paper we focus on the Personal Space (PS) as a nonverbal communication concept to build a new Human Computer Interaction. The analysis of people positions with respect to their PS gives an idea on the nature of their relationship. We propose to analyze and model the PS using Computer Vision (CV), and visualize it using Computer Graphics. For this purpose, we define the PS based on four parameters: distance between people, their face orientations, age, and gender. We automatically estimate the first two parameters from image sequences using CV technology, while the two other parameters are set manually. Finally, we calculate the two-dimensional relationship of multiple persons and visualize it as 3D contours in real-time. Our method can sense and visualize invisible and unconscious PS distributions and convey the spatial relationship of users by an intuitive visual representation. The results of this paper can be used to Human Computer Interaction in public spaces.

• Asian Pacific Journal of Cancer Prevention
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• 제17권12호
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• pp.5257-5264
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• 2016

Background: Though people of color (POC) are less likely to become afflicted with skin cancer, they are much more likely to die from it due to delay in detection or presentation. Very often, skin cancer is diagnosed at a more advanced stage in POC, making treatment difficult.The purpose of this research was to improve awareness regarding skin cancers in people of color by providing recommendations to clinicians and the general public for early detection and photo protection preventive measures. Methods: Data on different types of skin cancers were presented to POC. Due to limited research, there are few resources providing insights for evaluating darkly pigmented lesions in POC. Diagnostic features for different types of skin cancers were recorded and various possible risk factors were considered. Results: This study provided directions for the prevention and early detection of skin cancer in POC based on a comprehensive review of available data. Conclusions: The increased morbidity and mortality rate associated with skin cancer in POC is due to lack of awareness, diagnosis at a more advanced stage and socioeconomic barriers hindering access to care. Raising public health concerns for skin cancer prevention strategies for all people, regardless of ethnic background and socioeconomic status, is the key to timely diagnosis and treatment.

• 정보보호학회논문지
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• 제21권3호
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• pp.45-56
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• 2011

최근 모든 네트워크에서 사용자가 웹 페이지에 접근할 때 HTTP가 폭넓게 사용되기 때문에 HTTP 트래픽은 방화벽과 다른 게이트웨이 보안 장치를 통과할 때 보통 별도의 검사 절차 없이 로컬 보안 정책에 의해서 통과된다 하지만 이러한 특성은 악의적인 사람에 의해 사용될 수 있다. HTTP 터널 응용 프로그램의 도움으로 악의적인 사람은 로컬 보안 정책을 우회하기 위해 HTTP로 데이터를 전송할 수 있다. 따라서 보통의 HTTP 트래픽과 터널링된 HTTP 트래픽을 구별하는 것은 아주 중요하다. 우리는 터널링된 HTTP 트래픽을 검출하는 통계적인 방법을 제안한다. 우리가 제안하는 방법은 사이트 독립적이기 때문에 지역적 제약을 갖지 않는다. 우리가 제안한 방법은 한 번의 학습만으로도 다른 사이트에 적용될 수 있다. 게다가 우리의 방법은 높은 정확도로 터널링된 HTTP 트래픽을 검출할 수 있다.

• 한국산업정보학회논문지
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• 제17권7호
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• pp.89-94
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• 2012

엘리베이터 내에서는 흡연이 금지되어 있는 것이 사실이다. 엘리베이터 내에서 흡연을 하는 것은 도덕에 어긋나는 잘못된 일이다. 또한, 흡연은 우리 아이들과 여성들에게 매우 치명적일 수 있다. 본 논문에서는 엘리베이터 내에서 흡연을 하는 사람을 추출하여 포렌식 증거 자료로 법원에 제출하기 위해서이다. 엘리베이터에 탄 사람의 얼굴 주위를 부분적으로 장면 전환 검출하여 추출한다. 방법은 흰색 막대를 입에 무는 사람을 추출하는 것이다. 연기를 내뿜는 것의 추출은 향후에 진행할 것이다. 방법은 장면 전환 검출에서 컬러 히스토그램 방법으로 추출한다. 이렇게 추출하면 장면 전환 검출을 하지 않는 방법 보다 훨씬 추출률이 정확하다.

• International Journal of Computer Science & Network Security
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• 제22권7호
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• pp.165-170
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• 2022

Lying is nuisance to all, and all liars knows it is nuisance but still keep on lying. Sometime people are in confusion how to escape from or how to detect the liar when they lie. In this research we are aiming to establish a dynamic platform to identify liar by using video analysis especially by calculating the ratio of changes in their appearance when they lie. The platform will be developed using a machine learning algorithm along with the dynamic classifier to classify the liar. For the experimental analysis the dataset to be processed in two dimensions (people lying and people tell truth). Both parameter of facial appearance will be stored for future identification. Similarly, there will be standard parameter to be built for true speaker and liar. We hope this standard parameter will be able to diagnosed a liar without a pre-captured data.

• 대한안전경영과학회지
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• 제11권3호
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• pp.73-78
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• 2009

In this paper, we developed the care system for older people living alone using the RFID technologies and the living informations. The care system store living informations, extracted through a unconstrained detection method by the RFID tags and readers, into a monitering server. The unconstrained detection method improved a weakness of existing systems that detected a living informations through an infrared sensor, ultrasonic sensor, camera, consumed quantity of the tap water or gas. The result of this study will playa very important role, as a part of a composite older-welfare services. Also, in the future, accumulated living informations will be allowed for a health data of older peoples.

• 반도체디스플레이기술학회지
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• 제23권2호
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• pp.28-32
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• 2024

The personal mobility Sharing service is currently active. Especially, electric scooters are widely utilized because they can move comfortably at a high speed over a short distance with a simple driving method. Its driving method is easy, but there is no protection device to protect the bare body. So, there is a greater accident than other means of transportation, and if two people are on board, there is higher accident probability. However, since there is no specific ways to prevent multi-person boarding yet, we propose a multi-person boarding detection model using tilt and pressure sensor. The proposed method measures the tilt degree and direction by using a tilt sensor installed in the center of the board plate and detects multi-people riding.

• 대한간호학회지
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• 제31권1호
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• pp.139-149
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• 2001

The purpose of this study was to analyze characteristics related to the activity of Daily Living (ADL) and dementia among the elderly people who have Medicaid. The cross-sectional descriptive survey study was a nationwide randomization sampling among the population of elderly families who have Medicaid. The data were collected during the month of October, 1999 and total sample was 1,027 elderly people. There were major findings according to the studies. In the results of the ADL assessment most of elderly people were within the 24 to 45 point range. Also, 63.3% of elderly people who made 45 points do not need help when performing daily activities according to the 15 areas of activity components, and 4.9% of these people couldn't do their daily activities. The results of the Dementia assessment were 70.6% of elderly people were in the normal range, 21.7% have a mild case, and 2.8% have severe case of dementia. These were found by using instruments for mental states, which simplified to items of detection of early dementia. In the result of these tests, there was a significantly positive correlation between ADL and degree of dementia with the pearson correlation coefficients. As a result of these studies, the author recommend to strengthen function and organization of public health like a visiting nurse center for elderly people who are over 65 years old. In addition, the government should apply early detection and management system for dementia in the community continuously and cost-effectively, especially for elderly people who live alone and are vulnerable elderly as our priority.

• Asian Pacific Journal of Cancer Prevention
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• 제15권21호
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• pp.9077-9083
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• 2014

Background: This study aimed to summarize the potential diagnostic value of serum DKK1 levels in cancer detection. Materials and Methods: Serum DKK1 was measured using enzyme-linked immunosorbent assay in a case-control study. Then we performed a meta-analysis and the pooled sensitivity, specificity, diagnostic odds ratio, and summary receiver operating characteristic (sROC) curves were used to evaluate the overall test performance. Results: Serum DKK1 levels were found to be significantly upregulated in gastric cancer as compared to controls. ROC curve analysis revealed an AUC of 0.636, indicating the test has the potential to diagnose cancer with poor accuracy. The summary estimates of the pooled sensitivity, specificity and diagnostic odds ratio in meta-analysis were 0.55 with a 95% confidence interval (CI) (0.53-0.57), 0.86 (95%CI, 0.84-0.88) and 12.25 (95%CI, 5.31-28.28), respectively. The area under the sROC was 0.85. Subgroup analysis revealed that the diagnostic accuracy of serum DKK1 in lung cancer (sensitivity: 0.69 with 95%CI, 0.66-0.74; specificity: 0.95 with 95%CI, 0.92-0.97; diagnostic odds ratio: 44.93 with 95%CI, 26.19-77.08) was significantly higher than for any other cancer. Conclusions: Serum DKK1 might be useful as a noninvasive method for confirmation of cancer diagnosis, particularly in the case of lung cancer.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권9호
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• pp.3384-3400
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• 2021

With the advent of the data era, people pay much more attention to data corruption. Aiming at the problem that the majority of existing schemes do not support corruption detection of ciphertext data stored in cloud environment, this paper proposes a data corruption detection scheme based on ciphertexts in cloud environment (DCDC). The scheme is based on the anomaly detection method of Gaussian model. Combined with related statistics knowledge and cryptography knowledge, the encrypted detection index for data corruption and corruption detection threshold for each type of data are constructed in the scheme according to the data labels; moreover, the detection token for data corruption is generated for the data to be detected according to the data labels, and the corruption detection of ciphertext data in cloud storage is realized through corresponding tokens. Security analysis shows that the algorithms in the scheme are semantically secure. Efficiency analysis and simulation results reveal that the scheme shows low computational cost and good application prospect.