• Journal of Forest and Environmental Science
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• v.28 no.2
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• pp.63-67
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• 2012

Crown ratio is the ratio of live crown length to tree height. It is often used as an important predictor variable for tree growth equation. It indicates tree vigor and is a useful parameter in forest health assessment. The objective of the study was to develop crown ratio prediction models for Tectona grandis. Based on the data set from the temporary sample plots, several non linear equations including logistics, Chapman Richard and exponential functions were tested. These functions were evaluated in terms of coefficient of determination ($R^2$) and standard error of the estimate (SEE). The significance of the estimated parameters was also verified. Plot of residuals against estimated crown ratios were observed. Although the logistic model had the highest $R^2$ and the least SEE, Chapman-Richard and Exponential functions were observed to be more consistent in their predictive ability; and were therefore recommended for predicting crown ratio in the stand.

• Journal of Global Scholars of Marketing Science
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• v.3
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• pp.235-251
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• 1999

This research deals with the basic ideas and implementation used for developing competitive advantage in the market they serve. The market to which a company belongs is continuously evolving, not static. Therefore, the company is required to adopt a suitable strategy in the market it serves. Marketing strategy establishment requires continual adjustment in the strategy content and redirection in organizational actions to address emerging market problems and opportunities. Much of the strategic implementation is characterized by firefights aimed at solving emerging, unforeseen problems. The concept of strategy was originally introduced to provide companies with a rational means of coping with environmental changes. An old Oriental proverb said that "knowing myself and then understanding others is the best way to success". In line with the proverb, the starting point of marketing strategy establishment for the competitive advantage is to understand the activities of a company wholly. After analyzing the scope of its activities, a company has to understand the market structure, to review competitive environments, to formulate the base of the competitive strategy and to adopt differentiation strategies for obtaining the competitive advantage.

• Journal of the Korean Institute of Navigation
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• v.18 no.3
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• pp.11-18
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• 1994

In the present trends at which vessels would be supersizedly designed for adapting special cargoes in order for effective controls of logistics in marine transportation, it brings poor manoeuvrability of ships and makes environmental or economical loss seriously due to accidents of a large scale at sea. International Maritime Organization adopted manoeuvring standards and also recommended manoeuvring booklets for ship operators recently. We attempted to find variation of hydrodynamic derivatives when a bare hull was fitted with propeller and rudder, or propeller only by captive model test in the circulating water channel. On comparing experimental results with theoretical values derived from equations, almost same tenden-cies were found at hull-propeller-rudder and hull-propeller situations. Interactions with rudder displayed well at large drift angles.

• Journal of Information Technology Services
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• v.6 no.2
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• pp.49-62
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• 2007

Characteristics of the motivation and performance of Enterprise Resources Planning (ERP) adoption in university organization are explored through case studies in this study. Generally, the modules for production, sales, and logistics management in a manufacturing company are substituted with new modules for student support, lecture operations, and research management in ERP for university organization. The motivation of ERP adoption is closely related to the purpose of improvement of business process operations and information system control rather than the environmental factors such as inter-organizational competition or increase of market uncertainty, differentially from enterprises cases. In addition, the financial performance such as cost reduction, labor substitution, and increase of productivity is relatively lower evaluated than the performance on organizational aspects or information system control.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.948-951
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• 2008

Ubiquitous sensor network (USN) based on ZigBee communication protocol has been used in various application fields, such as home-network, intelligent building and machine, logistics, environmental monitoring, military field, security field and etc. The ZigBee is targeted at radio-frequency application that require a low data rate, long battery life and secure network. Especially, the USN system can be applied efficiently to building-indoor where the complex geometry is adopted. In this study, all 90 points of railway cabin indoor were monitored for temperature and humidity using USN technology. All sensors were pre/post-calibrated and the temperature/humidity change were analyzed in a railway cabin in real-time. The results would be useful to develop the cabin heating, ventilating and air conditing (HVAC) system to meet all passengers' thermal comfort regardless of their seat position.

• International Journal of High-Rise Buildings
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• v.7 no.2
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• pp.141-143
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• 2018

Critics of height argue that it de-humanizes our cities. Yet a critical mass is a necessity for vibrant city life, and height is a key contributor. If we can overcome the environmental impacts and technicalities of building tall and dense, our cities' streets can thrive and prosper. To make this happen, we must move towards working together to share resources, so we can ensure the continuity of the public realm. We already have the tools to do this; the challenge lies in the coordination of the public and private institutions that govern urban space. District heating and cooling systems; shared logistics spaces; care, responsibility and ownership of the public realm between buildings; seamless connectivity between modes of transport; creative combinations of shelter and seating, and the placement of buildings so that they are not overbearing to the streets around them - these attributes can be found in many places, though rarely all at once. This paper looks at the development of the city and offers Barangaroo South, Sydney, which addresses all these aspects, as a potential template for future city planning.

• Journal of the Korea Safety Management & Science
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• v.12 no.3
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• pp.315-320
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• 2010

Recently, there are environmental issues for sustainable transportation system to pursue the energy-efficient and environment-friendly public urban transit. These transportation system needs to offer demand-oriented high-quality service being on the same level with cab service for urban space. PRT(Personal Rapid Transit), small track-guided vehicle, is repeatedly mentioned as a possible alternative for the new urban public transportion system, but but there are not many researches on the operational optimal routing for PRT network. In this paper, the concept of PRT and general optimal routing methods are reviewed. And we suggest the optimal routing method for city-wide PRT network with multi-vehicles and stations, junctions and directional arcs. Futher research directions for PRT routing are presented.

• Industrial Engineering and Management Systems
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• v.7 no.1
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• pp.78-89
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• 2008

The need for holistic modeling efforts for returns that capture the extended closed loop supply chain (CLSC) system at strategic as well as operational level has been clearly recognized by the industry and academia. Strategic decision-makers need comprehensive models that can guide them in efficient decision-making to increase the profitability of the entire forward and return chain. Therefore, determination of a near optimal design configuration, which includes the environmental, economical and technological capability factors, is important in strategic decision-making effort that affect the profitability of the closed loop supply chain. In this paper, we adopted an improved system dynamics methodology to tackle strategic issues that affect various performance measures, like market, time/cost, environment etc., for closed loop supply chains. After studying real life implementation issues in CLSC design, we presented guidelines for the PBM (Participative Business Modeling) methodology and presented its extension for the strategic dynamic system modeling of return chains. Finally, we demonstrated the measurement of operational performance by extending SD (system dynamic) application to closed loop supply chain management.

• Steel and Composite Structures
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• v.45 no.6
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• pp.877-894
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• 2022

Geopolymer concrete (GPC) has emerged as a feasible choice for construction materials as a result of the environmental issues associated with the production of cement. The findings of this study contribute to the development of machine learning methods for estimating the properties of eco-friendly concrete to help reduce CO₂ emissions in the construction industry. The compressive strength (f_c) of GPC is predicted using artificial intelligence approaches in the present study when ground granulated blast-furnace slag (GGBS) is substituted with natural zeolite (NZ), silica fume (SF), and varying NaOH concentrations. For this purpose, two machine learning methods multi-layer perceptron (MLP) and radial basis function (RBF) were considered and hybridized with arithmetic optimization algorithm (AOA), and grey wolf optimization algorithm (GWO). According to the results, all methods performed very well in predicting the f_c of GPC. The proposed AOA - MLP might be identified as the outperformed framework, although other methodologies (AOA - RBF, GWO - RBF, and GWO - MLP) were also reliable in the fc of GPC forecasting process.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.252-253
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• 2023

Container terminal automation might offer many potential benefits, such as increased productivity, reduced cost, and improved safety. Autonomous trucks can lead to more efficient container transport. A robust lane detection method is proposed using score-based generative modeling through stochastic differential equations for image-to-image translation. Image processing techniques are combined with Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Genetic Algorithm (GA) to ensure lane positioning robustness. The proposed method is validated by a dataset collected from the port terminals under different environmental conditions and tested the robustness of the lane detection method with stochastic noise.