• Title/Summary/Keyword: continuous-time

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A Study on IPA-based Competitiveness Enhancement Measures for Regular Freight Service (IPA분석을 이용한 정기화물운송업의 경쟁력 강화방안에 관한 연구)

  • Lee, Young-Jae;Park, Soo-Hong;Sun, Il-Suck
    • Journal of Distribution Science
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    • v.13 no.1
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    • pp.83-91
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    • 2015
  • Purpose - Despite the structural irrationality of multi-level transportation and the oil price rise, the domestic freight transportation market continues to grow, mirroring the rise in e-commerce and resultant increase in courier services and freight volumes. Several studies on courier services have been conducted. However, few studies or statistics have been published regarding regular freight services although they have played a role in the freight service market. The present study identifies the characteristics of regular freight service users to seek competitiveness enhancement measures specific to regular freight services. Research design, data, and methodology - IPA is a comparative analysis of the relative importance of and satisfaction with each attribute simultaneously. This study used IPA because it facilitates the process of analyzing importance and performance, deriving implications and a visual understanding of results. To enhance the competitiveness of regular freight services, this study surveyed its current users regarding the importance of the regular freight service factors. A total of 200 copies of a questionnaire were circulated and 190 copies were returned. In addition to demographics, respondents answered questions about the importance of and satisfaction with services on a 5-point Likert scale. Excluding 3 inappropriate copies, 187 out of 190 copies were analyzed. PASW Statistics 18 was used for statistical analysis. A total of 20 question items were selected for the service factors presented in the questionnaire based on the 1st pilot survey and previous studies. Results - According to the IPA performed to compare the importance of and satisfaction with service factors, both importance and satisfaction are high in the 1st quadrant, which involves the economic advantage of using regular freight services, quick arrival at destinations, weight freight handling, and less time constraints on freight receipt/dispatch. This area requires continuous management. Satisfaction is higher than importance in the 2nd quadrant, which involves the adequacy of freight, cost savings over ordinary courier services, notification on freight arrival, and freight tracking information. This area requires intensive investment and management. Satisfaction is lower than importance in the 3rd quadrant, involving the credit card payment system, courier delivery service, distance to freight handling sites, easy access to freight handling sites, and prompt problem solving. This area requires further intensive management. Both importance and satisfaction are low in the 4th quadrant, involving the availability of collection service, storage space at freight handling sites, kindness of collection/delivery staff, kindness of outlet staff, and easy delivery checks. This area is a set of variables should be excluded from priority control targets. Conclusions - Based on the IPA, service factors that need priority controls because of high importance and low satisfaction include the credit card payment system, delivery service, distance to freight handling sites, easy access to freight handling sites, and prompt problem solving. The findings need to be applied to future marketing strategies for regular freight services and for developing competitiveness enhancement programs.

Safety Management Framework for Information Handover Effectiveness in the Construction Industry (건설 안전관리 개념적 틀 및 정보이양 효율성 분석)

  • JIN, Zhenhui;JUNG, Youngsoo
    • Korean Journal of Construction Engineering and Management
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    • v.21 no.4
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    • pp.50-61
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    • 2020
  • Safety management has been one of the most critical issues in the construction industry for a long time. Despite continuous efforts, it still shows a higher accident rate than other sectors. To reduce the accident rate, a lot of studies have been performed, mostly focused on contractors or construction phase. Although the initial stage of the construction project has the most significant impact on construction safety and decision-makers at the initial stage play an important role, the safety management system throughout the project entire life-cycle is still insufficient. In addition, although a great deal of information is generated in the construction project and the value is increasing, while it shows an inefficient aspect. This is believed to be due to insufficient information exchange and a lack of standards. In this context, this study aims to analyze the efficiency of information handover in construction safety. For this purpose, a safety management framework for systematically and efficiently managing and utilizing for construction safety information is referred to as 'safety business functions', 'project life-cycle', and 'industrial hierarchy'. The 'safety business functions' are classified into three levels. And then, in order to analyze the efficiency of safety information handover, 'importance of safety business function' and 'efficiency of safety information handover' were evaluated by interviewing with experts. This study can be used as reference data for implementing systematical and efficient safety management, and can also increase construction safety competency.

Photoperiod manipulation in controlling growth and flowering of Chrysanthemum (일장조절이 국화의 생장과 개화에 미치는 효과)

  • Suh, Jeung Keun;Kim, Ji Hee;Lee, Ae Kyung
    • FLOWER RESEARCH JOURNAL
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    • v.18 no.3
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    • pp.157-164
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    • 2010
  • In Chrysanthemum ${\times}$ morifolium, 30 days of continuous short days (SD) are required for flowering. The effects of alternating short day (SD) - long day (LD) - SD treatments was tested in 5 daisy-like single cultivars, 'Limelight', 'Sunlight', 'Candle Light', 'Firebrand', and 'Twilight', Thee other decorative type cultivars, 'Spirit', 'SunburstSpriit', 'Mandalay', and 'Illini Harvest' was also included. Short day treatment was given for 30 days (control: 30SD) and 5 or 10 LD were interposed following 5 or 10 SD. Different responses were noticed when data from all cultivars were combined, showing that flowering was delayed and the number of ray florets were increased by 5 SD-10 LD-25 SD. The number of ray florets, 40 florets in 'Firebrand' and 60.8 florets in 'Candlelight' was increased significantly by 5 SD-10 LD-25 SD as compared to the control. There were no adverse effects by SD-LD-SD treatment, except for the delay in flowering time from 6 to 7 days. The number of ray florets in 'Illini Harvest' and 'Limelight' were, however, not increased by any SD-LD-SD treatments. Cultivar dependent responses should further be investigated in other newly available cultivars, and this information could be used to breed new cultivars.

Design of Indoor Electric Moving and Lifting Wheelchair with Minimum Rotation Radius and Obstacle Overcoming (최소 회전반경 및 장애물 극복형 실내 전동 이·승강 휠체어의 설계)

  • Kim, Young-Pil;Ham, Hun-Ju;Hong, Sung-Hee;Ko, Seok-Cheol
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.415-424
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    • 2019
  • In this paper, a minimum rotation radius was designed and fabricated to overcome the threshold so that elderly or disabled people who have difficulty moving can move and transfer safely and conveniently in a narrow room. In the indoor environment, where the sedentary culture develops, this study aimed to provide convenience for passengers with fracture diseases, geriatric diseases, and other knee and waist diseases. First, links, seats, armrests, covers, motors, batteries, chargers, controllers, etc. were attached to the frame so that they could be moved and lifted indoors. The product design and structure were designed considering the user's environment and physical characteristics, and IoT functions were added. A driving experiment was performed to confirm the operating performance of the manufactured indoor moving and lifting wheelchair. The performance tests, such as continuous running time, turning radius, maximum actuator load, maximum lift height, sound pressure level, minimum sensing distance of the driving aid sensor, interworking of server and app programs, device compatibility, and duty cycle error rate, were performed. As a result of the test, the built-in wheelchair could achieve the performance test target of each item and operate successfully.

Development of Deep Learning Based Deterioration Prediction Model for the Maintenance Planning of Highway Pavement (도로포장의 유지관리 계획 수립을 위한 딥러닝 기반 열화 예측 모델 개발)

  • Lee, Yongjun;Sun, Jongwan;Lee, Minjae
    • Korean Journal of Construction Engineering and Management
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    • v.20 no.6
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    • pp.34-43
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    • 2019
  • The maintenance cost for road pavement is gradually increasing due to the continuous increase in road extension as well as increase in the number of old routes that have passed the public period. As a result, there is a need for a method of minimizing costs through preventative grievance preventive maintenance requires the establishment of a strategic plan through accurate prediction of road pavement. Hence, In this study, the deep neural network(DNN) and the recurrent neural network(RNN) were used in order to develop the expressway pavement damage prediction model. A superior model among these two network models was then suggested by comparing and analyzing their performance. In order to solve the RNN's vanishing gradient problem, the LSTM (Long short-term memory) circuits which are a more complicated form of the RNN structure were used. The learning result showed that the RMSE value of the RNN-LSTM model was 0.102 which was lower than the RMSE value of the DNN model, indicating that the performance of the RNN-LSTM model was superior. In addition, high accuracy of the RNN-LSTM model was verified through the comparison between the estimated average road pavement condition and the actually measured road pavement condition of the target section over time.

The Effect of Mobile Phone Use on University Students' English Reading Achievement (모바일 폰 활용이 대학생들의 영어 독해 학습 성취도에 미치는 영향)

  • Kim, Hye-Jeong
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.4
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    • pp.183-189
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    • 2019
  • The purpose of this study is to investigate the effects of mobile phone use on university students' English reading achievement and consider the value and effectiveness of mobile phones as a learning tool. The study's subjects were students from a university in Seoul, who were divided into an experimental group (n=37) and a control group (n=43). The experimental group used various mobile phone functions-such as searching, recording, taking photos, using mobile apps, and community uploads-in reading class. The control group, on the other hand, focused on students' presentations and the professor's explanations. Two achievement tests and an open-ended questionnaire were administered. The results revealed that the experimental group scored higher than the control group, which showed a significant difference. In addition, the positive impacts of mobile phone use as reported in the questionnaire were interest and motivation, self-directed learning, and continuous learning beyond time and space. In order to foster efficient second language teaching and learning, learners and also teachers must be aware of the potential value of mobile phones as a learning tool. To encourage more active mobile phone use in the classroom, diverse and interesting class activities using mobile phones should be developed.

Mining Frequent Sequential Patterns over Sequence Data Streams with a Gap-Constraint (순차 데이터 스트림에서 발생 간격 제한 조건을 활용한 빈발 순차 패턴 탐색)

  • Chang, Joong-Hyuk
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.9
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    • pp.35-46
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    • 2010
  • Sequential pattern mining is one of the essential data mining tasks, and it is widely used to analyze data generated in various application fields such as web-based applications, E-commerce, bioinformatics, and USN environments. Recently data generated in the application fields has been taking the form of continuous data streams rather than finite stored data sets. Considering the changes in the form of data, many researches have been actively performed to efficiently find sequential patterns over data streams. However, conventional researches focus on reducing processing time and memory usage in mining sequential patterns over a target data stream, so that a research on mining more interesting and useful sequential patterns that efficiently reflect the characteristics of the data stream has been attracting no attention. This paper proposes a mining method of sequential patterns over data streams with a gap constraint, which can help to find more interesting sequential patterns over the data streams. First, meanings of the gap for a sequential pattern and gap-constrained sequential patterns are defined, and subsequently a mining method for finding gap-constrained sequential patterns over a data stream is proposed.

Mitigation of Greenhouse Gas Emissions (GHGs) by Water Management Methods in Rice Paddy Field

  • Kim, Gun-Yeob;Park, Woo-Kyun;Lee, Sun-Il;Lee, Jong-Sik;Choi, Eun-Jung;Na, Un-sung;Jang, Hee-Young;Suh, Sang-Uk
    • Korean Journal of Soil Science and Fertilizer
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    • v.48 no.5
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    • pp.477-484
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    • 2015
  • Environmental effect of water-saving irrigation on the emissions of greenhouse gases (GHGs) has not been well investigated. The objective of this study was to measure the effect of water-saving irrigation on GHGs as well as water use and rice production yield in paddy field condition in Korea. Four experimental runoff plots of 4x35 m in size were prepared at an existing paddy field. GHGs emission was measured during the 2012~2013 growing seasons while a Japonica rice variety was cultivated. Four different water management methods, 1) Continuous Flooding (CF), 2) Intermittent Drainage (ID), 3) Water Saving (WS), and 4) CF+WS, were used during a rice growing season to compare the effects of water management methods on GHGs emission. CF method is flooding all the time, ID method makes paddy water drained 40 days after transplanting for about two weeks, WS method maintains 2~3 cm water-level, which should be refilled when the water-level decreased to about 0 cm, and CF+WS method combines CF method before 30 days after transplanting (DAT) and WS method after 30 DAT. Regardless of water management methods, paddy field water was drained about 30 days before harvest. Amount of GHGs emission from WS plot was reduced by 69.3% compared to that from CF plot and by 59.0% compared to that from ID plot. Amount of GHGs emission from CF+WS plot was reduced by 60.7% compared to that from CF plot and by 47.5% compared to that from ID plot. Weed occurrence in CF+WS plots was reduced to 62.2% in comparison with the WS plot, implying that CF+WS plot showed the best effect to mitigation of the greenhouse gas emission in the atmosphere.

A Study on the Characteristics and Policy Demand of the Unmanned Vehicle Industry in Gyeonggi-do (경기도 무인이동체 산업 특성과 정책수요)

  • Kim, Myung Jin
    • Journal of the Economic Geographical Society of Korea
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    • v.24 no.3
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    • pp.283-299
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    • 2021
  • As the intelligent revolution triggered by digital technology, unmanned vehicles such as self-driving cars, robots, and drones appeared, which brought about innovative changes in the industry. Gyeonggi Local government has established both an ordinance and a basic plan regarding unmanned vehicles. It is time to prepare a data-based policy by understanding the current state of the unmanned vehicle industry in the province. As a result of the survey, the unmanned vehicle industry in Gyeonggi Province is 25% of the nationwide, and more than 88% is concentrated in the southern part of Gyeonggi Province. The land sector such as the robot and autonomous vehicles are focused on 71.4% and the aviation sector such as drones are 26.7%. However, unmanned vehicle companies in Gyeonggi-do are mostly small-sized businesses with less than 10 years of experience and are in the stage of introduction and growth level. They have a plan to improve technology through continuous R&D by hiring human resources. Therefore, Gyeonggi-do needs to consider policy support for sustainable growth of start-up and small enterprises and for fostering professional manpower and technical skills as well as for establishing an unmanned vehicle industry network to create, share, and spread knowledge.

A Development for Sea Surface Salinity Algorithm Using GOCI in the East China Sea (GOCI를 이용한 동중국해 표층 염분 산출 알고리즘 개발)

  • Kim, Dae-Won;Kim, So-Hyun;Jo, Young-Heon
    • Korean Journal of Remote Sensing
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    • v.37 no.5_2
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    • pp.1307-1315
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    • 2021
  • The Changjiang Diluted Water (CDW) spreads over the East China Sea every summer and significantly affects the sea surface salinity changes in the seas around Jeju Island and the southern coast of Korea peninsula. Sometimes its effect extends to the eastern coast of Korea peninsula through the Korea Strait. Specifically, the CDW has a significant impact on marine physics and ecology and causes damage to fisheries and aquaculture. However, due to the limited field surveys, continuous observation of the CDW in the East China Sea is practically difficult. Many studies have been conducted using satellite measurements to monitor CDW distribution in near-real time. In this study, an algorithm for estimating Sea Surface Salinity (SSS) in the East China Sea was developed using the Geostationary Ocean Color Imager (GOCI). The Multilayer Perceptron Neural Network (MPNN) method was employed for developing an algorithm, and Soil Moisture Active Passive (SMAP) SSS data was selected for the output. In the previous study, an algorithm for estimating SSS using GOCI was trained by 2016 observation data. By comparison, the train data period was extended from 2015 to 2020 to improve the algorithm performance. The validation results with the National Institute of Fisheries Science (NIFS) serial oceanographic observation data from 2011 to 2019 show 0.61 of coefficient of determination (R2) and 1.08 psu of Root Mean Square Errors (RMSE). This study was carried out to develop an algorithm for monitoring the surface salinity of the East China Sea using GOCI and is expected to contribute to the development of the algorithm for estimating SSS by using GOCI-II.