• Title/Summary/Keyword: Human behavior classification

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A Study on Objective and Content Domains of Marine Education in the Fish and Marine High School (수산·해운계 고등학교 해양교육의 목표영역과 내용영역에 관한 연구)

  • KIM, Sam-Kon;CHA, Cheol-Pyo
    • Journal of Fisheries and Marine Sciences Education
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    • v.21 no.2
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    • pp.237-246
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    • 2009
  • In this research, there was an investigation about the objective and content domains concerning marine education in the Fish and Marine High School. Also, validity and guidance level on the classification were analyzed. According to the analysis, analyzing guidance level of Marine related contents which are included in school marine education is as follows. There are 971 information and knowledge domains, 710 skill domains, 5 value and attitude domains and 8 behavior and participation domains in the objective domain in school marine education. The number of the knowledge domains was most while attitude domains was least. Content domain of school marine education consists of 774 ocean human and marine ecology domains, 461 artificial marine environment and facility domains, 290 marine resource domains, 76 marine pollution domains, 123 marine conservation and measure domains. So, ocean human and marine ecology domains were most while ethics of marine conservation domains were not included.

Comparison of School Nursing Phenomena at Elementary, Middle and High Schools by Applying ICNP (ICNP를 적용한 학교간호현상 및 특성과 초.중.고등학교의 학교간호현상 비교)

  • Kim, Young-Im;Wang, Myoung-Ja;Yang, Soon-Ok;Hyun, Hye-Jin;Park, Eun-Ok
    • Journal of the Korean Society of School Health
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    • v.17 no.1
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    • pp.1-12
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    • 2004
  • Purpose : this study purposed to investigate school nursing phenomena in Korea by applying ICNP, the international standard nursing classification system developed by ICN, and to compare school nursing phenomena at elementary, middle and high schools. Method : The subjects of this study are 110 nursing teachers from 82 elementary schools, 16 middle schools, and 12 high schools. In the survey, subjects were asked to score the degree to which phenomena and characteristics of Korean school nursing, identified in previous research, on a 5 point scale. Questionnaires were distributed and recovered by mail and email. The period of data collection was 6 months from July to December 2003. The general characteristics of schools and nursing teachers were represented with frequencies and percentages, the phenomena and characteristics of school nursing with the mean score of the questions, and the phenomena school nursing by school grade with ANOVA and Duncan's posterior analysis. Results : 1) As for the characteristics of schools according to school nursing phenomena related to human behavior, the mean score of questions on inadequate stress management was highest at 3.24 points followed by the score on inadequate weight control (3.23), inadequate eating habits (3.22), the risk of spine disorders (2.68), inadequate emergency management (2.62), inadequate response to sex -related problems (2.19), and smoking and drug use (1.85). 2) As for the characteristics of schools according to school nursing phenomena related to human function, the mean score of questions on oral health management was highest at 3.11 points followed by the score on the risk of digestive system disorder (2.87), improper eyesight management (2.81), the risk of respiratory system disorders (2.75), lack of sexual identity (2.52), and inadequate contagious disease control (2.12). 3) As for the mean score according to school nursing phenomena related to environment, the score of the risk of accidents in classroom was highest as 2.68 points followed by the score of the risk of accidents around the school (2.65), maladjustment to school (2.62), the risk of accidents outside the classroom (2.43), inadequate learning environment (1.83), the risk of exposure to socially and physically harmful environment factors (1.82), and inadequate waste disposal (1.77). 4) This study tested the mean scores of questions corresponding to each school nursing phenomenon in order to see if there is a difference in the school nursing phenomenon among elementary, middle and high schools, and performed Duncan's posterior comparison for school nursing phenomena. A significant difference was found at p<.1. According to the results, school nursing phenomena found to be significantly different among elementary, middle and high schools was smoking and drug use (p<.05), which appeared more problematic in high school than in elementary school. phenomena such as inadequate eating habits, inadequate weight control, inadequate response to sex-related problems and inadequate waste disposal were also found to be statistically different at p<.1; however, according to the result of Duncan's posterior comparison, no difference was found among groups in improper eating habits and improper response to sex-related problems, and a significant difference was found between middle and high schools in inadequate weight control and inadequate waste disposal. Conclusion: Based on the results of this study, it is necessary to plan school health projects focused on the characteristic school nursing phenomena that had high scores and to develop and execute school healthe projects in accordance with the characteristics of elementary, middle and high schools. Considering that the scores of school nursing phenomena related to human behavior are high, it is necessary to introduce school health promotion projects in a systematic way.

A Deep Learning Based Approach to Recognizing Accompanying Status of Smartphone Users Using Multimodal Data (스마트폰 다종 데이터를 활용한 딥러닝 기반의 사용자 동행 상태 인식)

  • Kim, Kilho;Choi, Sangwoo;Chae, Moon-jung;Park, Heewoong;Lee, Jaehong;Park, Jonghun
    • Journal of Intelligence and Information Systems
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    • v.25 no.1
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    • pp.163-177
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    • 2019
  • As smartphones are getting widely used, human activity recognition (HAR) tasks for recognizing personal activities of smartphone users with multimodal data have been actively studied recently. The research area is expanding from the recognition of the simple body movement of an individual user to the recognition of low-level behavior and high-level behavior. However, HAR tasks for recognizing interaction behavior with other people, such as whether the user is accompanying or communicating with someone else, have gotten less attention so far. And previous research for recognizing interaction behavior has usually depended on audio, Bluetooth, and Wi-Fi sensors, which are vulnerable to privacy issues and require much time to collect enough data. Whereas physical sensors including accelerometer, magnetic field and gyroscope sensors are less vulnerable to privacy issues and can collect a large amount of data within a short time. In this paper, a method for detecting accompanying status based on deep learning model by only using multimodal physical sensor data, such as an accelerometer, magnetic field and gyroscope, was proposed. The accompanying status was defined as a redefinition of a part of the user interaction behavior, including whether the user is accompanying with an acquaintance at a close distance and the user is actively communicating with the acquaintance. A framework based on convolutional neural networks (CNN) and long short-term memory (LSTM) recurrent networks for classifying accompanying and conversation was proposed. First, a data preprocessing method which consists of time synchronization of multimodal data from different physical sensors, data normalization and sequence data generation was introduced. We applied the nearest interpolation to synchronize the time of collected data from different sensors. Normalization was performed for each x, y, z axis value of the sensor data, and the sequence data was generated according to the sliding window method. Then, the sequence data became the input for CNN, where feature maps representing local dependencies of the original sequence are extracted. The CNN consisted of 3 convolutional layers and did not have a pooling layer to maintain the temporal information of the sequence data. Next, LSTM recurrent networks received the feature maps, learned long-term dependencies from them and extracted features. The LSTM recurrent networks consisted of two layers, each with 128 cells. Finally, the extracted features were used for classification by softmax classifier. The loss function of the model was cross entropy function and the weights of the model were randomly initialized on a normal distribution with an average of 0 and a standard deviation of 0.1. The model was trained using adaptive moment estimation (ADAM) optimization algorithm and the mini batch size was set to 128. We applied dropout to input values of the LSTM recurrent networks to prevent overfitting. The initial learning rate was set to 0.001, and it decreased exponentially by 0.99 at the end of each epoch training. An Android smartphone application was developed and released to collect data. We collected smartphone data for a total of 18 subjects. Using the data, the model classified accompanying and conversation by 98.74% and 98.83% accuracy each. Both the F1 score and accuracy of the model were higher than the F1 score and accuracy of the majority vote classifier, support vector machine, and deep recurrent neural network. In the future research, we will focus on more rigorous multimodal sensor data synchronization methods that minimize the time stamp differences. In addition, we will further study transfer learning method that enables transfer of trained models tailored to the training data to the evaluation data that follows a different distribution. It is expected that a model capable of exhibiting robust recognition performance against changes in data that is not considered in the model learning stage will be obtained.

A Study on Vegetable & Fruit Eating Habits and Dietary Fiber Intake of High School Students - focusing on high school students in Daegu - (고등학생의 채소.과일류 섭취습관과 식이섬유소 섭취실태에 관한 연구 - 대구 일부지역 고등학생을 중심으로 -)

  • Jung, Hye-Kyung;Jo, Hyun-Ju;Choi, Mi-Ja
    • The Journal of Korean Society for School & Community Health Education
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    • v.12 no.3
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    • pp.43-64
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    • 2011
  • Objectives: The purpose of this study was to provide the nutritional education data of the fruit and vegetable eating habits and dietary fiber intake of male and female high school students in the Daegu area. Methods: A survey was conducted on 300 male/female students from four general high schools in the City of Daegu, and the survey included questions ongeneral characteristics, dietary habits, eating behavior patterns and dietary intake. A 24-hour recall method was used for the dietary intake, and the surveyed dietary intake information was analyzed using the Computer Aided Nutritional analysis program (CAN 3.0)--dietary fiber intake, in particular. The data was analyzed using the SPSS window 12.0 program. Results: The average ages of boys and girls were 16.8- and 15.6-years old, respectively. A classification based on BMI showed the following: the low-weight student group was comprised of 10.3% boys and 31.6% girls; the normal-weight group 68.4% boys and 67.5% girls; and the overweight group 21.3% boys and 0.9% girls, whereby showing a significant difference between boys and girls. Vegetable intake showed the following: the ratio of the response of 'taking it once a day' was more than 70%, which showed the low frequency of fruit intake; the ratio of 'taking it more than five times a week' was 53.0% for boys and 68.4% for girls, which showed a higher intake frequency for girls over boys; and the daily dietary fiber per 1,000kcal was 7.1g for boys and 8.2g for girls, whereby showing a significant difference between boys and girls. The meals that contributed most to dietary fiber intake were the school meals, whereas the dietary fiber intake rate through breakfast was the lowest among the three daily meals. The food groups that contributed to dietary fiber intake were vegetable, grains and flavoring matters for boys and vegetable, grains and fruits for girls. Conclusions: In order to increase the daily dietary intake for growing adolescents, who are in an important stage for building the foundation of health, it's recommended that, in addition to the supplement for insufficient dietary fiber through a regular breakfast consisting of high dietary fiber content foods, nutrition-related education about the effects of dietary fiber on the human body be conducted.

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Prognostic Impact of Cyclin D1, Cyclin E and P53 on Gastroenteropancreatic Neuroendocrine Tumours

  • Liu, Shu-Zheng;Zhang, Fang;Chang, Yu-Xi;Ma, Jie;Li, Xu;Li, Xiao-Hong;Fan, Jin-Hu;Duan, Guang-Cai;Sun, Xi-Bin
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.1
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    • pp.419-422
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    • 2013
  • Conventional classifications of gastroenteropancreatic neuroendocrine tumours (GEP-NETs) are rather unsatisfactory because of the variation in survival within each subgroup. Molecular markers are being found able to predict patient outcome in more and more tumours. The aim of this study was to characterize the expression of the proteins cyclin D1, cyclin E and P53 in GEP-NETs and assess any prognostic impact. Tumor specimens from 68 patients with a complete follow-up were studied immunohistochemically for cyclin D1, cyclin E and P53 expression. High cyclin D1 and cyclin E immunostaining (${\geq}$ 5% positive nuclei) was found in 48 (71%) and 24 (35%) cases, and high P53 staining (${\geq}$ 10% positive nuclei) in 33 (49%). High expression of P53 was more common in gastric neuroendocrine tumors and related to malignant behavior, being associate with a worse prognosis on univariate analysis (RR=1.9, 95%CI=1.1-3.2). High expression of cyclin E was significantly associated with shorter survival in the univariate analysis (RR=2.0, 95%CI=1.2-3.6) and multivariate analysis (RR=2.1, 95%CI=1.1-4.0). We found no significant correlation between the expression of cyclin D1 and any clinicopathological variables. Our study indicated a prognostic relevance for cyclin E and P53 immunoreactivity. Cyclin E may be an independent prognostic factor from the 2010 WHO Classification which should be evaluated in further studies.

Analysis and Classification of In-Vehicle Activity Based on Literature Study for Interior Design of Fully Autonomous Vehicle (완전 자율주행 자동차의 실내공간 설계를 위한 문헌연구 기반의 실내행위 분석 및 유형화)

  • Kwon, Ju Yeong;Ju, Da Young
    • Journal of the HCI Society of Korea
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    • v.13 no.2
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    • pp.5-20
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    • 2018
  • The fully autonomous vehicle, which has been actively studied in a worldwide before commercialization, is expected to become a living space by securing time and space compared to existing automobile. For this reason, interior design of fully autonomous vehicle has become very important. To enhance passenger's experience and satisfaction in fully autonomous vehicle, it is necessary to design an optimized space that can support in-vehicle activities. For this purpose, efforts to analyze the passenger's in-vehicle activities should be preceded. However, there were limited studies that define space and in-Vehicle activities of fully autonomous vehicle in Korea. The purpose of this study is to suggest the guideline of the interior design of fully autonomous vehicle by analyzing and classifying the scope of activities that the passenger can perform within the vehicle. As a method of the study, literature studies on future concept cars, human lifetime behavior and consumer needs had been conducted. As a result in-vehicle activities could be applied in a fully autonomous vehicle. Four in-vehicle activities 'work', 'home life and personal care', 'relaxation' and 'conversation and hobby' had been derived through the analysis of in-vehicle activities. Based on the results, the interior design of fully autonomous vehicle guideline has been suggested. The study is significant because the result of the study can act as a basic study which considers the activities in the fully autonomous vehicle environment.

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Application of CSP Filter to Differentiate EEG Output with Variation of Muscle Activity in the Left and Right Arms (좌우 양팔의 근육 활성도 변화에 따른 EEG 출력 구분을 위한 CSP 필터의 적용)

  • Kang, Byung-Jun;Jeon, Bu-Il;Cho, Hyun-Chan
    • Journal of IKEEE
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    • v.24 no.2
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    • pp.654-660
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    • 2020
  • Through the output of brain waves during muscle operation, this paper checks whether it is possible to find characteristic vectors of brain waves that are capable of dividing left and right movements by extracting brain waves in specific areas of muscle signal output that include the motion of the left and right muscles or the will of the user within EEG signals, where uncertainties exist considerably. A typical surface EMG and noninvasive brain wave extraction method does not exist to distinguish whether the signal is a motion through the degree of ionization by internal neurotransmitter and the magnitude of electrical conductivity. In the case of joint and motor control through normal robot control systems or electrical signals, signals that can be controlled by the transmission and feedback control of specific signals can be identified. However, the human body lacks evidence to find the exact protocols between the brain and the muscles. Therefore, in this paper, efficiency is verified by utilizing the results of application of CSP (Common Spatial Pattern) filter to verify that the left-hand and right-hand signals can be extracted through brainwave analysis when the subject's behavior is performed. In addition, we propose ways to obtain data through experimental design for verification, to verify the change in results with or without filter application, and to increase the accuracy of the classification.

A Data-driven Classifier for Motion Detection of Soldiers on the Battlefield using Recurrent Architectures and Hyperparameter Optimization (순환 아키텍쳐 및 하이퍼파라미터 최적화를 이용한 데이터 기반 군사 동작 판별 알고리즘)

  • Joonho Kim;Geonju Chae;Jaemin Park;Kyeong-Won Park
    • Journal of Intelligence and Information Systems
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    • v.29 no.1
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    • pp.107-119
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    • 2023
  • The technology that recognizes a soldier's motion and movement status has recently attracted large attention as a combination of wearable technology and artificial intelligence, which is expected to upend the paradigm of troop management. The accuracy of state determination should be maintained at a high-end level to make sure of the expected vital functions both in a training situation; an evaluation and solution provision for each individual's motion, and in a combat situation; overall enhancement in managing troops. However, when input data is given as a timer series or sequence, existing feedforward networks would show overt limitations in maximizing classification performance. Since human behavior data (3-axis accelerations and 3-axis angular velocities) handled for military motion recognition requires the process of analyzing its time-dependent characteristics, this study proposes a high-performance data-driven classifier which utilizes the long-short term memory to identify the order dependence of acquired data, learning to classify eight representative military operations (Sitting, Standing, Walking, Running, Ascending, Descending, Low Crawl, and High Crawl). Since the accuracy is highly dependent on a network's learning conditions and variables, manual adjustment may neither be cost-effective nor guarantee optimal results during learning. Therefore, in this study, we optimized hyperparameters using Bayesian optimization for maximized generalization performance. As a result, the final architecture could reduce the error rate by 62.56% compared to the existing network with a similar number of learnable parameters, with the final accuracy of 98.39% for various military operations.

Weights for Evaluation items of Conformity index of Bird breeding sites on the West and South coasts of Korea (서·남해 연안성 조류번식지 적합성지수 평가항목 가중치 설정)

  • Kim, Chang-Hyeon;Kim, Won-Bin;Kim, Kyou-Sub;Lee, Chang-Hun
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.41 no.4
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    • pp.40-48
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    • 2023
  • This study is part of a foundational research effort aimed at developing a suitability index for breeding grounds related to avian activities along the domestic South and West coasts, including islands. Focus Group Interviews (FGI) and Analytic Hierarchy Process (AHP) analyses were conducted. The results are as follows. First, as a result of determining the value of the suitability of coastal bird breeding sites, the 'Natural Value(0.763)' was higher than the 'Artificial Value(0.237)'. Other artificial values were identified as sub-ranked except for 'Protected Areas' to ensure continuous integrity of breeding spaces. Second, as a result of re-establishing the 25 evaluation items classified in the two-time FGI as higher concepts, nine natural values and five artificial values were finally selected as a total of 14. Third, the results of the mid-classification evaluation of the importance of the suitability of coastal bird breeding sites were identified in the order of 'Ecological Value(0.392)', 'Topographic Value(0.251)', 'Passive Interference(0.124)', 'Geological Value(0.120)', and 'Active Interference(0.113)'. Fourth, the results of the priority of evaluation items of coastal bird breeding sites were in the order of 'Vegetation Distribution (0.187)', 'Area of Mudflats(0.118)', 'Presence or Absence of Mudflats(0.092)', 'Appearance of Natural Enemies(0.087)', 'Protected Areas(0.08)', 'Island Area (0.069)', 'Over-Breeding devastation(0.064)', 'Soil Composition Ratio(0.056)', 'Distance from Land(0.054)', 'Ocean farm area (0.045)', 'Cultivated land area(0.041)', 'Cultivation behavior(0.038)', 'Angle of the Surface(0.036)', and 'Land Use(0.033)'. It is judged that the weighting result value of the evaluation items derived in this study can be used for priority evaluation focusing on the coastal bird breeding area space. However, it seems that the correlation with the unique habitat suitability of bird individuals needs to be supplemented, and spatial analysis research incorporating species-specific characteristics will be left as a future task.

The Reserch on Actual Condition of Crime of Arson Which Occurs in Korea and Its Countermeasures (방화범죄의 실태와 그 대책 - 관심도와 동기의 다양화에 대한 대응 -)

  • Choi, Jong-Tae
    • Korean Security Journal
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    • no.1
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    • pp.371-408
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    • 1997
  • This article is the reserch on actual condition of crime of arson which occurs in Korea and its countermeasures. The the presented problem in this article are that (1) we have generally very low rate concern about the crime of arson contrary to realistic problems of rapid increase of crime of arson (2) as such criminal motives became so diverse as to the economic or criminal purpose unlike characteristic and mental deficiency of old days, and to countermeasure these problems effectively it presentation the necessity of systemantic research. Based on analysis of reality of arson, the tendency of this arson in Korea in the ratio of increase is said to be higher than those in violence crime or general fire rate. and further its rate is far more greater than those of the U.S.A. and Japan. Arson is considered to be a method of using fire as crime and in case of presently residence to be the abject, it is a public offense crime which aqccompany fatality in human life. This is the well It now fact to all of us. And further in order to presentation to the crime of arson, strictness of criminal law (criminal law No, 164 and 169, and fire protection law No. 110 and 111) and classification of arsonist as felony are institutionary reinforced to punish with certainty of possibility, Therefore, as tendency of arson has been increased compared to other nations, it is necessary to supplement strategical policy to bring out overall concerns of the seriousness of risk and damage of arson, which have been resulted from the lack of understanding. In characteristics analysis of crime of arson, (1) It is now reveald that, in the past such crime rate appeared far more within the boundary of town or city areas in the past, presently increased rate of arsons in rural areas are far more than in the town or small city areas, thereby showing characteristics of crime of arson extending nation wide. (2) general timetable of arson shows that night more than day time rate, and reveald that is trait behavior in secrecy.(3) arsonists are usually arrested at site or by victim or report of third person(82,9%).Investigation activities or self surrenders rate only 11.2%. The time span of arrest is normally the same day of arson and at times it takes more than one year to arrest. This reveals its necessity to prepare for long period of time for arrest, (4) age rate of arson is in their thirties mostly as compared to homicide, robbery and adultery, and considerable numbers of arsons are in old age of over fifties. It reveals age rate is increased (5) Over half of the arsonists are below the junior high school (6) the rate of convicts by thier records is based on first offenders primarily and secondly more than 4 time convicts. This apparently shows necessity of effective correctional education policy for their social assimilation together with re-investigation of human education at the primary and secondary education system in thier life. The examples of motivation for arosnits, such as personal animosity, fury, monetary swindle, luscious purpose and other aims of destroying of proof, and other social resistance, violence including ways of threatening, beside the motives of individual defects, are diverse and arsonic suicide and specifically suicidal accompany together keenly manifested. When we take this fact with the criminal theory, it really reveals arsons of crime are increasing and its casualities are serious and a point as a way of suicide is the anomie theory of Durkheim and comensurate with the theory of that of Merton, Specifically in the arson of industrial complex, it is revealed that one with revolutionary motive or revolting motive would do the arsonic act. For the policy of prevention of arsons, professional research work in organizational cooperation for preventive activities is conducted in municipal or city wise functions in the name of Parson Taskforces and beside a variety of research institutes in federal government have been operating effectively to countermeasure in many fields of research. Franch and Sweden beside the U.S. set up a overall operation of fire prevention research funtions and have obtained very successful result. Japan also put their research likewise for countermeasure. In this research as a way of preventive fire policy, first, it is necessary to accomodate the legal preventitive activities for fire prevention in judicial side and as an administrative side, (1) precise statistic management of crime of arson (2) establishment of professional research functions or a corporate (3) improvement of system for cooperative structural team for investigation of fires and menpower organization of professional members. Secondly, social mentality in individual prospect, recognition of fires by arson and youth education of such effect, educational program for development and practical promotion. Thirdly, in view of environmental side, the ways of actual performance by programming with the establishment of cooperative advancement in local social function elements with administrative office, habitants, school facilities and newspapers measures (2) establishment of personal protection where weak menpowers are displayed in special fire prevention measures. These measures are presented for prevention of crime of arson. The control of crime and prevention shall be prepared as a means of self defence by the principle of self responsibility Specifically arsonists usually aims at the comparatively weak control of fire prevention is prevalent and it is therefore necessary to prepare individual facilities with their spontaneous management of fire prevention instead of public municipal funtures of local geverment. As Clifford L. Karchmer asserted instead of concerns about who would commit arson, what portion of area would be the target of the arson. It is effective to minister spontaveously the fire prevention measure in his facility with the consideration of characteristics of arson. On the other hand, it is necessary for the concerned personnel of local goverment and groups to distribute to the local society in timely manner for new information about the fire prevention, thus contribute to effective result of fire prevention result. In consideration of these factors, it is inevitable to never let coincide with the phemonemon of arsons in similar or mimic features as recognized that these could prevail just an epedemic as a strong imitational attitude. In processing of policy to encounter these problems, it is necessary to place priority of city policy to enhancement of overall concerns toward the definitive essense of crime of arson.

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