• Asian Journal of Business Environment
• /
• 제8권4호
• /
• pp.5-15
• /
• 2018

Purpose - The research aimed to reveal real decisional behavioral of management institutes in India for social media marketing usage, and analyses of empirical elements of social media consumption pattern. Research design, data, and methodology - The investigation was based around a research methodology using quantitative analysis with appropriate statistical techniques on random surveys of consumers, detailed exploratory and confirmatory factor analyses are applied to assess the empirical validity of the model and multiple regression employed using R studio edition to validate the reliability of the developed models. Results - A new conceptual framework is proposed - the management institutions decision model, providing a tool for effective and more focused decision-making strategies for developing better utilization techniques for social media. Management institutions have different requirements based upon objectives and resources available. The evidence suggests that the administrators need to be more aware of consumer indicators when targeting and designing social media marketing strategy. Conclusions - The research was based on samples and not the entire population of target consumers, providing limitations. As an inferential statistical method was chosen, the results might be susceptible to inaccuracy. The model developed from different age users, thereby providing rich perspectives into social media usage pattern.

• 한국위성정보통신학회논문지
• /
• 제11권1호
• /
• pp.55-57
• /
• 2016

본 논문에서는 CCTV 기반의 행동인식과 ConvexHull을 이용한 손의 패턴 인지를 통한 이상행동을 판단하는 알고리즘을 제시하고 있다. CCTV를 이용한 기존 범죄 예방에는 주로 얼굴 인식이 쓰인다. 이는 화면에 보이는 얼굴과 기존 범죄자와 수배자의 얼굴 정보를 대조하여 대상의 위험도를 판단하는 방식으로, 앞으로의 범죄행동 예측에는 어려움이 따른다. 따라서 보다 다양한 상황을 예측하기 위해 대상의 팔과 다리, 몸의 기울기 등의 움직임과 손의 패턴을 파악하여 이상행동을 판단한다. 몸의 움직임이 일반적인 행동을 벗어났다고 판단될 때 대상의 행동패턴을 파악하여 폭력과 납치 등의 행동패턴과 비교하여 범죄를 예측할 수 있다.

• 한국주거학회논문집
• /
• 제21권1호
• /
• pp.31-42
• /
• 2010

The purpose of this study was to analyze behavioral patterns of elderly residents and to identify the characteristics of using furniture and home appliances by elderly-headed households. For this purpose, field studies that included observation and open-ended interview were conducted with 52 elderly-headed households. The major findings of this study were as follows: elderly-headed households need home appliances with lighter body, lower capacity and simple functions. Furniture for elderly people should be designed to minimize the inconvenience of using western style furniture, also the behavior patterns which are important to the elderly like taking medicine have to be considered. And it is necessary to design furniture and equipments properly to prevent accidents happened in housing. Lastly, because the elderly relies heavily on watching TV, it will be desirable to apply TV-friendly devices such as home networking and home automation. Research results will be useful information on product design to reflect characteristics of elderly and follow-up studies associated with each furniture and appliances and specific living behavior are needed.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제8권5호
• /
• pp.1801-1816
• /
• 2014

Because HTTP-related ports are allowed through firewalls, they are an obvious point for launching cyber attacks. In particular, malware uses HTTP protocols to communicate with their master servers. We call this an HTTP-based command and control (C&C) server. Most previous studies concentrated on the behavioral pattern of C&Cs. However, these approaches need a well-defined white list to reduce the false positive rate because there are many benign applications, such as automatic update checks and web refreshes, that have a periodic access pattern. In this paper, we focus on finding new discriminative features of HTTP-based C&Cs by analyzing HTTP activity sets. First, a C&C shows a few connections at a time (low density). Second, the content of a request or a response is changed frequently among consecutive C&Cs (high content variability). Based on these two features, we propose a novel C&C analysis mechanism that detects the HTTP-based C&C. The HAS-Analyzer can classify the HTTP-based C&C with an accuracy of more than 96% and a false positive rate of 1.3% without using any white list.

• 동아시아식생활학회지
• /
• 제9권2호
• /
• pp.135-148
• /
• 1999

This is a descriptive study of consumption Patterns of how to take meals in everyday life. The data used was collected from a probability sample by multi-stage cluster sampling, drawn from those who were living in the Ulsan Metropolitan Area. Face-to-face interviews were conducted by trained interviewers with a household member who was between the ages of 15 and 60 in 1989 and had the earliest birthday, resulting in a sample of 1,232 respondents. Univariate and bivariate analyses were made to describe behavioral patterns of taking meals. Meal-taking behaviors under this study include frequency of taking meals per day, regularity of taking meals, which meal to skip, number of frequency of taking a meal by oneself. reasons of skipping and irregular meals, and eatting out. Half of the respondents reported to take meals three times a day, while those who skipped at least a meal reported as one most frequently skipped. Of reasons not to take a meal on a regular basis, "too busy to eat" was most frequently mentioned. Only 32.8% of the respondents reported dining-out once a week.ce a week.

• 한국실내디자인학회논문집
• /
• 제17권4호
• /
• pp.84-91
• /
• 2008

The objective of this study is to investigate how visitors' behavior change in relation to the pattern of exhibition in art museum. For the purpose Busan Museum of Modern Art was selected as the sample in this study. And two patterns of exhibition, namely the planar exhibition and the three dimensional exhibition, were surveyed using the tracking movement method. The data gathered from random-sampling 60 visitors in a art museum was analyzed by the correlation analysis and T-test. The results are as follows; 1) There is no meaningful difference in visitors' behavior by the exhibition pattern in terms of their viewing area, viewing time, viewing distance, viewing velocity, viewing rate. 2) In contrast, there is meaningful difference in terms of the number of stops by visitors and the time spent without movement to see the objects; visitors stopped more often and stayed longer within the three dimensional exhibition space than the planar exhibition in a art museum. In sum, visitors extrinsically show no big behavioral difference between the planar exhibition and the three dimensional exhibition, but much difference in the way they communicate with objects; they show more active behavior within the three dimensional exhibition space.

• 대한음성학회:학술대회논문집
• /
• 대한음성학회 2005년도 추계 학술대회 발표논문집
• /
• pp.73-77
• /
• 2005

The purpose of this study is to observe how Korean learners of English perceive a weak syllable in words with WS syllable pattern. According to the automated discrimination task using E-Prime, the proportion of right answer and reaction time of the stimuli with same word pairs (a-a, b-b) was more and faster respectively than that with different word pairs (a-b, b-a). Specifically, in a-b or b-a stimuli structure, familiarity(word frequency) of stressed word succeeding weak syllable and whether the weak syllable had coda in it was two important factors in distinguishing between a word with and without weak syllable. Even though the high English proficiency Koreans had faster reaction time than the low English proficiency Koreans, all Korean learners somewhat had difficulty perceiving the weak syllable at the beginning of the word.

• ETRI Journal
• /
• 제44권3호
• /
• pp.426-437
• /
• 2022

To understand the multilateral characteristics of human behavior and physiological markers related to physical, emotional, and environmental states, extensive lifelog data collection in a real-world environment is essential. Here, we propose a data collection method using multimodal mobile sensing and present a long-term dataset from 22 subjects and 616 days of experimental sessions. The dataset contains over 10 000 hours of data, including physiological, data such as photoplethysmography, electrodermal activity, and skin temperature in addition to the multivariate behavioral data. Furthermore, it consists of 10 372 user labels with emotional states and 590 days of sleep quality data. To demonstrate feasibility, human activity recognition was applied on the sensor data using a convolutional neural network-based deep learning model with 92.78% recognition accuracy. From the activity recognition result, we extracted the daily behavior pattern and discovered five representative models by applying spectral clustering. This demonstrates that the dataset contributed toward understanding human behavior using multimodal data accumulated throughout daily lives under natural conditions.

• 감성과학
• /
• 제11권4호
• /
• pp.629-636
• /
• 2008

현재 진행되고 있는 대부분의 로봇 연구는 특정한 목적을 수행함에 있어서 기능적으로 안정적이고 원활한 움직임을 보이는 것과 더불어 사용자가 원하는 정보를 적절하게 전달하는 것에 초점을 맞춰 진행하고 있다. 본 논문에서는 로봇의 작업수행 상태가 아닌 외부로부터 입력 값이 없는 대기상태의 행동패턴을 제시하여 보다 자연스러운 인간-로봇 상호작용을 제시하고자 하였다. 로봇의 대기상태 행동패턴을 디자인함에 있어서 비디오 판독 방법을 선택하였고, 실제 서비스업에 종사하는 10명의 사람들을 비디오로 녹화하여 사람들과 상호작용이 없는 대기상태의 반복적인 행동패턴을 관찰하였다. 각각의 비디오 데이터로부터 총 21개의 반복적 행동을 기록하였고, 비슷한 항목들을 통합하여 최종적으로 11개의 행동패턴을 추출하였다. 추출된 패턴들 가운데 6개의 대표적인 행동들을 EEEX라는 로봇에 적합하도록 인코딩 작업을 하였고, 이것들이 사람들에게 올바르게 인식되는지를 확인하기 위하여 검증실험을 수행하였다. 사람들은 대부분의 로봇 행동패턴을 실험에서 의도한 바와 같이 인식하였으나 로봇의 하드웨어 특성상 몸과 팔의 움직임에서 약간의 혼동 요소가 있었다. 추후 실험을 통해 EEEX를 대형 마트의 입구에 실제로 배치하여 대기 중에 중립행동을 보일 때와 보이지 않을 때의 손님의 관심도 차이를 조사해보고자 한다.

• 생물정신의학
• /
• 제20권4호
• /
• pp.151-158
• /
• 2013

Objectives To investigate the pattern of subclinical hypothyroidism (SCH) in patients with bipolar disorders managed by lithium or valproic acid. Methods The study participants were 106 patients with DSM-IV bipolar disorders receiving planned maintenance treatment at the Mood Disorders Clinic of Seoul National University Bundang Hospital (aged between 17 and 64, mean duration of follow-up = 875.65 days). Using the bipolar disorder registry, thyroid function data were analyzed to assess the frequency of and the risk factors for SCH in patients managed by lithium (n = 64) or valproic acid (n = 42) for more than 5 months. Results Overall frequencies of SCH were 20.3% (13/64) in the lithium group, 14.3% (6/42) in the valproic acid group, and between the two groups there is no difference (p = 0.43). No differences were observed in the potential risk factors for SCH between the two groups including age, sex, subtype of bipolar disorder, baseline TSH, and concomitant antipsychotic use. In cases with SCH, thyroid-stimulating hormone (TSH) showed a tendency to increase at 3 month after the initiation of lithium or valproic acid. A gradual increase in the number of patients showing SCH was found within the first 3 years of medication. Conclusions With regular monitoring and careful assessment, there was no difference in the risk of SCH between lithium and valproic acid maintenance. The risk of mood stabilizer-associated SCH may gradually increase within 3 years following the commencement of medication, thereby mandating close monitoring for the first 3 years of treatment. Further studies with large sample size would be needed to confirm these findings.