• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.32 no.3
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• pp.18-24
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• 2000

To evaluate the efficiency of various cationic starches in improving retention drainage and strength properties of newsprints which are being made using extensive amount of domestic recycled wastepapers in a highly closed papermaking system diverse cationic starches have been prepared and tested. In the case of cationic starches with low charge density as the degree of substitution increas-es fines retention increased. Results also showed that the retention efficiency decreased sub-stantially for cationic starches with low DS when the conductivity of white water inceased. Tensile strength increased with the addition of cationic starches and then decreased. On the other hand internal bonding strength increased linearly with the addition of cationic starch. Oxidizing treatment of cationic starch was detrimental for retention and freeness improve-ment. Also crosslinking treatment of wet processed cationic starches made cationic starches less effective in retention and drainage.

• The Journal of Information Systems
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• v.12 no.1
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• pp.67-85
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• 2003

In the recent a mobile internet makes a change in internet business. The mobile internet service is resulting in M-commerce. Even if M-commerce provides only information service, there will be much possibilities to make applications in various areas such as, delivery service, trading service, banking service etc. in the near future. Delivery service requires many steps in processing, originally. This study is designed to implement a mobile system which makes short in delivery process. It includes that a delivery man receives a signature on a paper and input data at the delivered place by using PDA at hand. The mobile system will be contributed to shorten delivery speed. It is proposed to implement the mobile office system for improving service efficiency in the business of delivery service. This study is designed to implement a mobile system which make short in delivery process. It includes that a delivery man receives a signature on a paper and input data at the delivered place by using PDA at hand. The mobile system will be contributed to shorten delivery speed. It is proposed to implement the mobile office system for improving service efficiency in the business of delivery service.

• Journal of Digital Convergence
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• v.11 no.9
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• pp.357-363
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• 2013

This study aims to establish and apply a mobile office app for approving the achievements of tasks assigned to each person to investigate resulting satisfaction. This is done first by implementing the app for approval in a company with smart phones to enable tasks to be carried out any time and anywhere while the mobile office environment changes the method of carrying out tasks. More efficient work environment is expected if the system implemented in this study is improved in cooperation with customer's requirements. Matters for improving work efficiency added to the approval management system through this app will contribute to efficiently and continuously improving the mobile office environment to enhance productivity and efficiency of a company.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.4B
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• pp.428-434
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• 2009

Many RFID authentication protocols have been proposed to build a secure ubiquitous environment. However, existing protocols do not respond recent attacks appropriately and they perform many hash operations to authenticate a large number of tags. In this paper, we propose a hash function-based secure authentication protocol for improving efficiency in RFID system. The proposed protocol is safe to passive attacks and active attacks, and requires only 2 hash operations in a tag and 3 hash operations in a database. Accordingly, the proposed protocol is very effective in RFID system environment which is composed to low-cost tags and a database handling many tags.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.104-108
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• 2023

This paper deals with research on innovative systems using Python-based artificial intelligence technology in the field of plant growth monitoring. The importance of monitoring and analyzing the health status and growth environment of plants in real time contributes to improving the efficiency and quality of crop production. This paper proposes a method of processing and analyzing plant image data using computer vision and deep learning technologies. The system was implemented using Python language and the main deep learning framework, TensorFlow, PyTorch. A camera system that monitors plants in real time acquires image data and provides it as input to a deep neural network model. This model was used to determine the growth state of plants, the presence of pests, and nutritional status. The proposed system provides users with information on plant state changes in real time by providing monitoring results in the form of visual or notification. In addition, it is also used to predict future growth conditions or anomalies by building data analysis and prediction models based on the collected data. This paper is about the design and implementation of Python-based plant growth monitoring systems, data processing and analysis methods, and is expected to contribute to important research areas for improving plant production efficiency and reducing resource consumption.

• Korean Journal of Construction Engineering and Management
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• v.24 no.5
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• pp.73-82
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• 2023

Optimization of Construction Site Layout Planning (CSLP) heavily relies on workers' travel paths. However, traditional path generation approaches predominantly focus on the shortest path, often neglecting critical variables such as individual wayfinding tendencies, the spatial arrangement of site objects, and potential hazards. These oversights can lead to compromised path simulations, resulting in less reliable site layout plans. While Deep Reinforcement Learning (DRL) has been proposed as a potential alternative to address these issues, it has shown limitations. Despite presenting more realistic travel paths by considering these variables, DRL often struggles with efficiency in complex environments, leading to extended learning times and potential failures. To overcome these challenges, this study introduces a refined model that enhances spatial navigation capabilities and learning performance by integrating workers' visibility into the reward functions. The proposed model demonstrated a 12.47% increase in the pathfinding success rate and notable improvements in the other two performance measures compared to the existing DRL framework. The adoption of this model could greatly enhance the reliability of the results, ultimately improving site operational efficiency and safety management such as by reducing site congestion and accidents. Future research could expand this study by simulating travel paths in dynamic, multi-agent environments that represent different stages of construction.

• Journal of ILASS-Korea
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• v.29 no.2
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• pp.60-67
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• 2024

This study compared exhaust gas recirculation (EGR) and excess air strategies for improving thermal efficiency and emissions of hydrogen combustion engines at low-load operation. The experimental investigation was conducted in a single-cylinder, heavy-duty engine under throttling and wide-open throttle (WOT) conditions. Although both EGR and excess air strategies reduced peak heat release rates and increased combustion durations, the net indicated thermal efficiencies were improved by reducing the pumping losses. Under the constraint of similar nitrogen oxides emissions, the EGR strategy had higher net indicated thermal efficiencies compared to the excess air strategy in throttling operation. However, the difference between their thermal efficiencies was reduced under WOT condition. The trend of reducing nitrogen oxides emissions according to the two strategies was similar.

• Journal of the East Asian Society of Dietary Life
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• v.20 no.5
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• pp.823-835
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• 2010

The research aimed to measure the efficiency of using multi stores in a foodservice company using by DEA (data envelopment analysis) which is a new management science technique. The study also attempted to identify relevant variables affecting DEA efficiency in order to suggest methods for improving efficiency. The data were collected from 148 contract foodservice operations, which were operated in similar fashion in October 2009. The DEA efficiency was calculated as an output-oriented BCC Model. Sales, and CSI (customer satisfaction index) were used as output variables whereas food cost, labor cost, and management expense were used as input variables to calculate the DEA efficiency. Operation process variables of the unit consisted of the were consist of ratio of regular employee, ratio of housekeeper, meal counts, meal price, food cost per meal, contract period, number of menu items, forecasting accuracy, order accuracy, inventory turnover, use of processed food, deviation of food cost, number of new menus, and number of events. According to the BCC score and profitability, units were classified into four groups: High efficiency-high profitability (HEHP), High efficiency-low profitability (HELP), Low efficiency-high profitability (LEHP), and Low efficiency-low profitability (LELP). The HEHP group contained 54 units, which mostly contracted management fee type and had a high meal price. The units were also very large and, served three meals. Twenty of the units were operated with high labor cost: most of these were factories and hospitals. The LEHP group contained 20 units, that were mainly office stores of large scale and medium price. Fifty-four LELP group had a low meal price. A high performance group must have high efficiency, profitability, and satisfaction. The BCC score was over 0.969, the meal price was over 4,116 won, the food cost was over 2,077 won, and meal counts per month were over 10,212 meals.

• Journal of Service Research and Studies
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• v.14 no.3
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• pp.206-230
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• 2024

Background: The advancement of information and communication technology acts as a key driver in the implementation of smart cities. Smart Public Facilities leverage this technological progress to innovate urban operations, optimizing various city functions, enhancing the quality of public services, and improving citizens' accessibility and convenience. These Smart Public Facilities are introduced for the sustainable development of cities and the enhancement of citizens' quality of life. Method: This study systematically analyzed the public design policies of local governments and examined the use cases of Smart Public Facilities domestically and internationally to evaluate their functions and roles. Through this, the effectiveness and sustainability of public design policies were comprehensively reviewed, and the impact of Smart Public Facilities on urban operations and citizens' lives was analyzed from multiple perspectives. Results: The introduction of Smart Public Facilities significantly enhances the implementation and efficiency of public design policies, playing a crucial role in sustainable urban development and improving citizens' quality of life. Furthermore, positive impacts were observed in various areas such as energy management, transportation systems, and environmental monitoring. Major challenges included managing technological changes, ensuring data privacy and cybersecurity, and strengthening citizen participation. Conclusion: Smart Public Facilities serve as essential infrastructure for improving urban efficiency, sustainability, and citizens' quality of life. Successful implementation and operation require systematic management and citizen participation. Through this, Smart Public Facilities will support sustainable urban development and play a critical role in responding to environmental changes. To ensure that Smart Public Facilities function effectively as urban infrastructure, it is necessary to comprehensively evaluate their impact on the efficiency of public design policies, sustainability, citizens' quality of life, and the local economy, and to suggest concrete measures for their introduction and operation.

• Journal of Korean Society on Water Environment
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• v.23 no.3
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• pp.403-409
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• 2007

This study was carried out to recommend the systematic improving practice for the effective operation of septic tank, and the evaluation of its BOD and nutrient removal efficiency depending on process, the survey of characteristics of FRP material, and the suggestion of optimum septic tank model within sewage treatment area. The average BOD concentration and BOD removal efficiency of septic tank which was carried out the cleaning periodically in 63.9 mg/L and 77.8%, shows good quality better than the septic tank which was not carried out the cleaning regularly. Maximum load of tensile, flexural and compressive strength increased in proportion to its thickness, and the contents standard 25% of glass fiber required upgrade over than 30%. Configuration and performance for the optimum of the septic tank suggests that over $0.75m^3$ of the effective total volume, adding to over $0.25m^3$ a man for more than 5 men of the treated person, retention time should be within one day. Improving plans about facility and materials quality of the septic tank have an obligation that protective wall ought to install on the concrete bottom and side faces to prevent crumble or transform from loading of the ground or upper part of the structure on the tank setting. And it is eliminated the uneffective resisting pressure and it keeps off circulate imperfect products by strengthening of the test methods such as stretching strength, pressing strength, glass fiber contents and thickness.