• 한국주거학회논문집
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• 제21권2호
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• pp.31-39
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• 2010

The trend in which an apartment is regarded as not only a substantial property or 'residence' but also as a 'means of self-expression' for consumers is increasing in the present housing marketing, and thus, the apartment brand image has become an important field of marketing management. Therefore, the present study aimed to verify the difference between the image of a housing brand and the self-image of consumers in order to propose a singular direction of strategies for the formation of a differentiated brand image. As a result of research, analysis showed that there is a trend in which consumers show a more positive attitude towards a brand apartment that has a brand image closer to an ideal selfimage. Even if this trend is weak, it was confirmed that the consentaneity between a brand image and the self-image of housing products can become a variable having some influence on brand attitude. The survey method compared a brand image and a self-image by using Likert's 5-point scale on the apartment brands of the top three companies according to the study result of a national brand competitiveness index (NBCI). Self-consentaneity was determined by using the distance measurement model of self-consentaneity proposed by Sirgy (1982). The study data was collected from 210 persons and the PASW program was used for statistical data analysis.

• 제어로봇시스템학회논문지
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• 제18권11호
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• pp.997-1004
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• 2012

In enterprise software projects, performance issues have become more critical during recent decades. While developing software products, many performance tests are executed in the earlier development phase against the newly added code pieces to detect possible performance regressions. In our previous research, we introduced the framework to enable automated performance anomaly detection and reduce the analysis overhead for identifying the root causes, and showed Statistical Process Control (SPC) can be successfully applied to anomaly detection. In this paper, we explain the special performance trend in which the existing anomaly detection system can hardly detect the noticeable performance change especially when a performance regression is introduced and recovered again a while later. Within the fixed number of sampling period, the fluctuation gets aggravated and the lower and upper control limit get relaxed so that sometimes the existing system hardly detect the noticeable performance change. To resolve the issue, we apply dynamically tuned sampling window size based on the performance trend, and Fuzzy theory to find an appropriate size of the moving window.

• 보건교육건강증진학회지
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• 제27권4호
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• pp.153-163
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• 2010

Objectives: Analysis and understanding on the health trend of college and university students are paramount to creating healthy campus communities. We evaluated the change of health status, health behavior, and influencing factors among them in the last ten years. Methods: Using the results of the ACHA-National College Health Assessment from 2000 to 2009, we reanalyzed the trend of health condition, health behavior, and health risk factors in linear regression model. Results: In general health of college and university students, major health problem were allergy problems, back pain, and sinus infection. Academic impacts were stress, sleep difficulties, cold/flu, concern for troubled friend or family member, relationship difficulty, and internet use or computer games. Although regular exercise was decreasing among them, it were more likely to have never smoking, no sexual partner, and eating of fruits/vegetables as time passed (p<0.05, p<0.01). Obesity and sleeping difficulty were increasing, while it were less likely to have feeling very sad, feeling hopelessness, and considering attempting suicide (p<0.05, p<0.01). Conclusion: These data expand the understanding of the health needs and capacities among young adults. For Korean college and university students, it is necessary to standardize the data-collection survey to set the college health and healthy campus.

• 환경영향평가
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• 제12권1호
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• pp.45-54
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• 2003

The purpose of this paper is to examine the trend on the change of the cherry blossom flowering time due to the temperature change by selecting regions that have long periods of cherry blossom flowering time data as cases. With the flowering time data, the distribution of cherry blossom flowering time, time series change and change rate of cherry blossom flowering time were analyzed. Also, the correlation between the cherry blossom flowering time and the temperature was analyzed. The flowering of cherry blossom is earlier in metropolitan areas, and in the east coastal region than the west coastal region. The trend on the change of the cherry blossom flowering time is very similar to change the temperature. The change rate of the cherry blossom flowering time is rising up in the whole regions under study, and is relatively high in metropolitan areas. Especially, the cherry blossom flowering time festinated greatly in Pohang that is one of the heavily industrialized cities. From the analysis of correlation analysis between cherry blossom flowering time and temperature elements, the cherry blossom flowering time is highly related with mean temperature of March, which the month is just before the beginning of flowering.

• 한국컴퓨터정보학회논문지
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• 제28권10호
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• pp.55-65
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• 2023

본 논문에서는 딥러닝 및 강화학습 연구에 대해 KeyBERT(Keyword extraction with Bidirectional Encoder Representations of Transformers) 알고리즘 기반의 토픽 추출 및 토픽 출현 빈도 분석으로 급변하는 딥러닝 관련 연구 동향 분석을 파악하고자 한다. 딥러닝 알고리즘과 강화학습에 대한 논문초록을 크롤링하여 전반기와 후반기로 나누고, 전처리를 진행한 후 KeyBERT를 사용해 토픽을 추출한다. 그 후 토픽 출현 빈도로 동향 변화에 대해 분석한다. 분석된 알고리즘 모두 전반기와 후반기에 대한 뚜렷한 동향 변화가 나타났으며, 전반기에 비해 후반기에 들어 어느 주제에 대한 연구가 활발한지 확인할 수 있었다. 이는 KeyBERT를 활용한 토픽 추출 후 출현 빈도 분석으로 연구 동향변화 분석이 가능함을 보였으며, 타 분야의 연구 동향 분석에도 활용 가능할 것으로 예상한다. 또한 딥러닝의 동향을 제공함으로써 향후 딥러닝의 발전 방향에 대한 통찰력을 제공하며, 최근 주목 받는 연구 주제를 알 수 있게 하여 연구 주제 및 방법 선정에 직접적인 도움을 준다.

• 한국건설관리학회논문집
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• 제20권3호
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• pp.54-63
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• 2019

최근 지속가능경영은 중요한 경영적 대안과 전략으로 대두 되었으며, 건설산업을 포함한 전 산업 및 기업에게 점차 중요해지고 있다. 산업 및 기업적 차원에서 이에 대한 전략을 수립하고 지속적으로 관리하여 향상 시키는 것은 중요하며, 이를 보완하기 위해 수립된 전략에 대한 트렌드를 분석하는 것 또한 중요하다. 지속가능경영보고서는 기업의 미래지향적 경영방향과 전략을 파악할 수 있는 좋은 정보원(Information Source)이다. 건설기업의 전반적인 지속가능경영 전략과 트렌드를 파악하기 위한 가장 현실적인 방법은 대표적인 건설기업의 지속가능경영보고서를 분석하여 지속가능경영에 대한 키워드를 도출한 후, 이를 활용하여 빅데이터를 통한 트렌드 분석을 수행하는 것이다. 본 연구의 목적은 국내 대표적인 5개 건설대기업의 지속가능경영보고서 분석을 통해 도출된 키워드를 기반으로 빅데이터 분석을 실시하여 국내 건설기업의 지속가능경영 전략에서 나타나는 트렌드의 주요 특징과 시사점을 분석하는데 있다. 국내 건설기업의 지속가능경영 전략 트렌드를 이해하는 것은 건설기업의 미래지향적 경영방향과 전략을 파악할 수 있게 하며 향후 건설산업과 건설기업이 미래를 대비하기 위해 주력해야할 현안을 발굴할 수 있다는 측면에서 중요한 의의를 지닌다.

• 산경연구논집
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• 제9권10호
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• pp.83-89
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• 2018

Purpose - The purpose of this study examines when the optimism impact on financial asset price forecasting and the boundary condition of optimism in the financial asset price forecasting. People generally tend to optimistically forecast their future. Optimism is a nature of human beings and optimistic forecasting observed in daily life. But is it always observed in financial asset price forecasting? In this study, two factors were focused on considering whether the optimism that people have applied to predicting future performance of financial investment products (e.g., mutual fund). First, this study examined whether the degree of optimism varied depending on the direction of the prior price trend. Second, this study examined whether the degree of optimism varied according to the forecast period by dividing the future forecasted by people into three time horizon based on forecast period. Research design, data, and methodology - 2 (prior price trend: rising-up trend vs falling-down trend) × 3 (forecast time horizon: short term vs medium term vs long term) experimental design was used. Prior price trend was used between subject and forecast time horizon was used within subject design. 169 undergraduate students participated in the experiment. χ² analysis was used. In this study, prior price trend divided into two types: rising-up trend versus falling-down trend. Forecast time horizon divided into three types: short term (after one month), medium term (after one year), and long term (after five years). Results - Optimistic price forecasting and boundary condition was found. Participants who were exposed to falling-down trend did not make optimistic predictions in the short term, but over time they tended to be more optimistic about the future in the medium term and long term. However, participants who were exposed to rising-up trend were over-optimistic in the short term, but over time, less optimistic in the medium and long term. Optimistic price forecasting was found when participants forecasted in the long term. Exposure to prior price trends (rising-up trend vs falling-down trend) was a boundary condition of optimistic price forecasting. Conclusions - The results indicated that individuals were more likely to be impacted by prior price tends in the short term time horizon, while being optimistic in the long term time horizon.

• 산업경영시스템학회지
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• 제36권4호
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• pp.100-108
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• 2013

In aerospace industry, MTBF (Mean Time Between Failure) and MFTBF (Mean Flight Time Between Failure) are generally used for reliability analysis. So far, especially to Korean military aircraft, MFTBF of avionic equipments is predicted by MIL-HDBK-217 and MIL-HDBK-338, however, the predicted MFTBF by military standard has a wide discrepancy to that of real-world operation, which leads to overstock and increase operation cost. This study analyzes operational data of avionic equipments. Operational MFTBF, which is calculated from operational data, is compared with predicted MFTBF calculated conventionally by military standard. In addition, failure rate trend is investigated to verify reliability growth in operational data, the investigation shows that failure rate curve from operational data has somewhat pattern with decreased failure rate and constant failure rate.

• 한국멀티미디어학회논문지
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• 제6권7호
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• pp.1266-1276
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• 2003

인터넷 환경에서는 일반 정보에 비해 수십 배 또는 수백 배가 큰 음성과 영상을 포함한 멀티미디어 정보가 전송된다. 네트워크 관리를 위한 분석 유형들은 실시간 분석, 기본분석과 심화분석으로 구성되며, 심화분석은 특정 object들에 대해 일정기간 주기 적으로 경향정보를 수집하여 네트워크 상태를 분석하는데 유용하다. 심화분석 용 경향정보 수집을 위해 SNMP 적용 시 관리자의 폴링에 대해 에이전트가 매번 응답해야 하기 때문에 네트워크 부하 증가, 응답시간 지연, 데이터 수집의 정확성 감소를 초래한다. 본 논문에서는 기존 SNMP PDU에 시간변수를 추가하여 심화분석 시에 관리자와 에이전트간 불필요한 트래픽 발생을 최소화하고, 보다 정확하게 경향정보를 수집할 수 있는 효율적인 방안을 제안하고 구현하였다. 시험 분석 결과 기존 SNMP와 호환성을 유지하면서 네트워크 트래픽 부하가 감소하였으며, 정보수집의 정확도가 증가하였다.

• Journal of Electrochemical Science and Technology
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• 제8권2호
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• pp.115-123
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• 2017

Electrochemical noise signals in many cases exhibit a DC drift that should be removed prior to further data analysis. Polynomial fitting and moving average removal method have been used to remove trends of electrochemical noise (EN) in time domain. The corrosion inhibition of synthesized schiff base N,N'-bis(3,5-dihydroxyacetophenone)-2,2-dimethylpropandiimine on API-5L-X70 steel in hydrochloric acid solutions were used to study the effects of drifts removal methods on noise resistance calculation. Also, electrochemical impedance spectroscopy (EIS) was used to study the corrosion inhibition property of the inhibitor. The results showed that for the calculation of $R_n$, both methods were effective in trend removal and the polynomial with m=4 and MAR with p=40 were in agreement.