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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of the Korea Society for Simulation
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The Korea Society for Simulation
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Volume & Issues
Volume 23, Issue 4 - Dec 2014
Volume 23, Issue 3 - Sep 2014
Volume 23, Issue 2 - Jun 2014
Volume 23, Issue 1 - Mar 2014
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Eco-System: REC Price Prediction Simulation in Cloud Computing Environment
Cho, Kyucheol ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 1~8
DOI : 10.9709/JKSS.2014.23.4.001
Cloud computing helps big data processing to make various information using IT resources. The government has to start the RPS(Renewable Portfolio Standard) and induce the production of electricity using renewable energy equipment. And the government manages system to gather big data that is distributed geographically. The companies can purchase the REC(Renewable Energy Certificate) to other electricity generation companies to fill shortage among their duty from the system. Because of the RPS use voluntary competitive market in REC trade and the prices have the large variation, RPS is necessary to predict the equitable REC price using RPS big data. This paper proposed REC price prediction method base on fuzzy logic using the price trend and trading condition infra in REC market, that is modeled in cloud computing environment. Cloud computing helps to analyze correlation and variables that act on REC price within RPS big data and the analysis can be predict REC price by simulation. Fuzzy logic presents balanced REC average trading prices using the trading quantity and price. The model presents REC average trading price using the trading quantity and price and the method helps induce well-converged price in the long run in cloud computing environment.
A Dynamic Optimization for Automotive Vehicle Shipment and Delivery
Yee, John ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 9~19
DOI : 10.9709/JKSS.2014.23.4.009
The automotive industry has made much efforts to deliver finished vehicles to customers with speed and reliability. Decreasing the time a vehicle stays within an assembly plant from production release to shipment contributes to reduce the total order lead-time and consequently, the total transportation cost as well. Conventional shipment planning algorithms are limited in accommodating the dynamics of assembly plant operations as to finished vehicle shipment. This paper presents a market-based multi-agent shipment planning algorithm to optimize the performance of vehicle shipment process, capturing the operationally disruptive events. Experimental results using simulation show that the algorithm improves vehicle shipment performance with respect to lead time, labor efficiency, finished product quality, and transportation efficiency.
A Study on the Automated Generation of Arena Simulation Models Using Conceptual Models
Ra, Hyun-Woo ; Choi, Seong-Hoon ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 21~29
DOI : 10.9709/JKSS.2014.23.4.021
In general, a simulation project requires much time and money since we should develop a model that works similarly to the system at a level consistent with the project purposes. Therefore, more active research studies are required to reduce the time needed for the modeling process. This is achievable by minimizing the possible trial and error during the model development process through the appropriate conceptual model design and the automated generation of the simulation model. This paper presents a tool automatically generating an Arena model after developing a conceptual simulation model. Because our proposed tool is based on the popular Microsoft Excel and Visio, it is expected to be practically used at many industrial sites. Finally, we showed the effectiveness of the newly suggested tool by applying it to an imaginary simulation project.
Monitoring Seasonal Influenza Epidemics in Korea through Query Search
Kwon, Chi-Myung ; Hwang, Sung-Won ; Jung, Jae-Un ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 31~39
DOI : 10.9709/JKSS.2014.23.4.031
Seasonal influenza epidemics cause 3 to 5 millions severe illness and 250,000 to 500,000 deaths worldwide each year. To prepare better controls on severe influenza epidemics, many studies have been proposed to achieve near real-time surveillance of the spread of influenza. Korea CDC publishes clinical data of influenza epidemics on a weekly basis typically with a 1-2-week reporting lag. To provide faster detection of epidemics, recently approaches using unofficial data such as news reports, social media, and search queries are suggested. Collection of such data is cheap in cost and is realized in near real-time. This research aims to develop regression models for early detecting the outbreak of the seasonal influenza epidemics in Korea with keyword query information provided from the Naver (Korean representative portal site) trend services for PC and mobile device. We selected 20 key words likely to have strong correlations with influenza-like illness (ILI) based on literature review and proposed a logistic regression model and a multiple regression model to predict the outbreak of ILI. With respect of model fitness, the multiple regression model shows better results than logistic regression model. Also we find that a mobile-based regression model is better than PC-based regression model in estimating ILI percentages.
A Narrowband Detection Performance for Small Objects on Seabed by the Active Synthetic Aperture Sonar
Kim, Boo-Il ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 41~49
DOI : 10.9709/JKSS.2014.23.4.041
Detection and processing techniques for small objects on seabed by the active synthetic aperture sonar can be increased the detection performance because it can be used by short sensor array in small unmanned underwater systems that are spatially constrained. But the limited conditions on constant speed and straight movement of the platform cause a large error in the number of external environmental factors and exact phase synthesis process. In this study, analyzed the applicability of active synthetic aperture processing that is mounted on such a system, and compared detection resolution change in accordance with the phase difference mismatch caused by the along track disturbance. Various simulations were performed as a coherently focus processing model by adding along track disturbance mismatched parameter on the configuring simulator. As the result, detection performance of active synthetic processing for small objects on seabed was found a number of changes by the phase difference mismatch errors according to track disturbances and S/N ratio variations.
Machine Allocation Based on Salvage Value for Minimizing Purchasing Costs of Consumable Auxiliary Tools
Yoon, Sung-Wook ; Jeong, Suk-Jae ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 51~64
DOI : 10.9709/JKSS.2014.23.4.051
Small and medium Enterprises (SMEs), which have a manufacturing method of small quantity batch production produce goods using a general-purpose equipment and attached auxiliary tools. Many previous studies have focused on finding the effective resource allocations for improving the firms` productivity. It is very important for SMEs to keep costs low in assigning jobs to each resource, because they should meet the future uncertain demand of consumers under the limited budget. Using the concept of salvage cost, this paper proposes how to effectively allocate the tasks to main resources in the production process. The salvage cost is defined that purchasing cost minus decrease in value by workload, the method considering this is expected to reduce total purchasing costs during business period. To validate the effect of the proposed method, we proceed the real case study targeting on S company, PCB manufacturer to compare purchase amounts and its costs between the allocation proposed based salvage cost and current allocation method of current S company. As a results, In short-term (3 year) business period, salvage allocation have remarkable superior outcome to existing method, but gradually have cancelled out the effects in long-term (8 year) plans. Unlike the cycle allocation method, there exists the idle-equipments in allocation based salvage value. we additionally analyze the profits with respect to rental strategy of them during business period.
Efficient Block ACK Scheme for Reducing the Number of Retransmitted Frames in IEEE 802.11n Wireless LANs
Lee, Hyun-Woong ; Kim, Sunmyeng ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 65~74
DOI : 10.9709/JKSS.2014.23.4.065
IEEE 802.11n standard has introduced the new schemes in MAC and PHY layers to improve network throughput. Frame aggregation and Block ACK are mainly defined to increase the efficiency of the MAC layer. There exists still problem in IEEE 802.11n. When block ACK request and/or response frames are missing or received in error, the sender does not know the status (success/failure) of each frame in the aggregated large frame and retransmits all the frames. This can cause a lower network performance. To solve this problem, we propose a new effective scheme, called reduced retransmission of MPDUs (RRM) scheme. In the proposed scheme, when a sender does not receive a block ACK response frame, it just transmits a next data frame and requests a block ACK. Therefore, it can retransmits the erroneous frames. Performance of the proposed scheme is investigated by simulation. Our results show that the proposed scheme is very effective and improves the performance under a wide range of channel error conditions.
Modeling and Simulation for Anti-submarine HVU Escort Mission
Park, Kang-Moon ; Lee, Eun-Bog ; Shin, Suk-Hoon ; Han, Seungjin ; Chi, Sung-Do ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 75~83
DOI : 10.9709/JKSS.2014.23.4.075
Most warship combat systems inquire human operator to control several sensor and another equipments as well as decision-modeling. For this reason, many researches with multi-agent based M&S (Modeling and Simulation) have been increasingly conducted. However there cannot find any researches of M&S based analysis for anti-submarine warfare that requires a high level of mission complexity between multiple platforms. In this research, we have been developed various combat platform models such as warship, submarine and helicopter, etc. In order to apply the multi-agent-based M&S technology to the anti-submarine warfare i.e. a HVU (High Value Unit) escort mission scenario. Then we have successfully analyzed the measures of effectiveness according to the different tactics and different situations. In future, the defence engineer maybe employ our methodology and tools to analyze actual tactical problem by simply inserting actual data into our agent model.
Causal Knowledge Integration Method for Product Design Simulation
Kim, Yun Seon ; Kwon, Ohbyung ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 85~95
DOI : 10.9709/JKSS.2014.23.4.085
Simulation for product design requires a lot of causal knowledge. Hence, knowledge integration is required for obtaining a new knowledge from existing knowledge. For example, a user requests knowledge for the heating cup. However, the knowledge base only has knowledge for heating and cup, not heating cup. At his situation, knowledge integration can generate a new heating cup knowledge from existing heating and cup knowledge. Therefore, the user can obtain the knowledge for heating cup. Hence, this study aims to propose a novel knowledge integration method for product design.
An Online Personal Rapid Transit Dispatching Algorithm Based on Nearest Neighbor Dispatching Rule
Han, Chung-Kyun ; Kwon, Bo Bea ; Kim, Baek-Hyun ; Jeong, Rag-Gyo ; Lee, Hoon ; Ha, Byung-Hyun ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 97~109
DOI : 10.9709/JKSS.2014.23.4.097
Personal rapid transit (PRT) is a new transportation system, which is energy efficient and brings high quality of customer service. Customers arrive dynamically at stations and request transportation service. In this paper, we propose a new online PRT dispatching algorithm for pickup and delivery of customers. We adopt the nearest neighbor dispatching rule, which is known as performing well in general. We extend the rule with bipartite matching in order to deal with multiple vehicles and customers at the same time. We suggest a systematic way for selecting vehicles that will be considered to be dispatched, since the scope with which vehicles are selected may affect the system performance. We regard the empty travel distance of vehicles and the customer waiting time as the performance measures. By using simulation experiments, it has been examined that the scope of dispatching affects the system performance. The proposed algorithm has been validated by comparing with other dispatching rules for transportation services. We have shown that our algorithm is more suitable for PRT operating environment than other dispatching rules.
Adaptive Resource Management Method base on ART in Cloud Computing Environment
Cho, Kyucheol ; Kim, JaeKwon ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 111~119
DOI : 10.9709/JKSS.2014.23.4.111
The cloud environment need resource management method that to enable the big data issue and data analysis technology. Existing resource management uses the limited calculation method, therefore concentrated the resource bias problem. To solve this problem, the resource management requires the learning-based scheduling using resource history information. In this paper, we proposes the ART (Adaptive Resonance Theory)-based adaptive resource management. Our proposed method assigns the job to the suitable method with the resource monitoring and history management in cloud computing environment. The proposed method utilizes the unsupervised learning method. Our goal is to improve the data processing and service stability with the adaptive resource management. The propose method allow the systematic management, and utilize the available resource efficiently.
Evaluation of Operations Performance of Agricultural Products Supply Chain Using ROIC Tree
Min, Choon-Ki ; Chang, Byeong-Yun ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 121~129
DOI : 10.9709/JKSS.2014.23.4.121
The importance of evaluation of farming performance has been increasing with the progress of farm size and capitalization, and with the introduction of the concept of the 6th industry to agriculture. In this research, ROIC(Return on Invested Capital) tree technique was examined as a new method for analyzing operations performance of supply chain for farm produce. Current practices of production and distribution of blueberry, model crop, were investigated and ROIC tree for blueberry has been set up from the survey of the supply chain. Then, it was simulated with real values collected from the participants in the supply chain and the previous studies using a spreadsheet program. The resulting ROIC value was compared with those of other industries and the conventional performance analysis method. Features of the evaluation technique were identified and it was proposed how to apply it to agricultural field in the future.
Development of Scheduler Based on Simulation for Phone Camera Lens Module Manufacturing System
Kim, Jae Hoon ; Lee, Seung Woo ; Lee, Dae Ryoung ; Park, Chul Soon ; Song, Jun Yeob ; Moon, Dug Hee ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 131~142
DOI : 10.9709/JKSS.2014.23.4.131
Phone camera lens module is assembled with a barrel, multiple lenses, multiple spacers and a shield. The major processes of manufacturing system are injection molding, coating and assembly processes, and each process has multiple machines. In this paper, we introduce a scheduler based on simulation model which can be used for frequent rescheduling problem caused by urgent orders, breaking down of molds and failures of machines. The scheduling algorithm uses heuristic Backward-Forward method, and the objective is to minimize the number of tardy orders.
A Mathematical Programming Approach for Cloud Service Brokerage
Chang, Byeong-Yun ; Abate, Yabibal Afework ; Yoon, Seung Hyun ; Seo, Dong-Won ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 143~150
DOI : 10.9709/JKSS.2014.23.4.143
Cloud computing is fast becoming the wave of the future for both home and business computing. Because of this growing acceptance, we can expect an explosion of diverse cloud service providers in the coming years. However, the cloud is not a single entity, rather it is a set of many disconnected islands of application (SaaS), infrastructure (IaaS), and different platform (PaaS) services. Cloud brokering mechanisms are essential to transform the heterogeneous cloud market into a commodity-like service. Cloud service brokers (CSBs) are the new form of business entities to help to aggregate the scattered set of cloud services and make conveniently available to their diverse users. CSBs can reserve a certain percentage of their clients` (users`) demand and satisfy the remaining portion in an on-demand basis. In doing so, they need to minimize cost of both reserved and on-demand instances as well as the distance of a link between the cloud service provider (CSP) and the user. The study proposes a reservation approach with a mixed integer model to optimizes the cloud service cost and quality.
Military Aircrafts Proper Quantity Decision Model Using Simulation Analysis
Kim, Sang-Min ; Lee, Moon-Gul ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 151~161
DOI : 10.9709/JKSS.2014.23.4.151
It is very important to evaluate proper acquisition of military aircraft against future threats in our military defense field. In previous studies, the evaluation has been determined in terms of tasking order or weapon power index. These methods compare the combat-effectiveness index and the number of aircraft. However, this study provides simulation analysis of proper quantity decision based on actual operational senarios of military aircraft using System Dynamics. The method reflects the properties of military aircraft operation concepts and considers the rate of failure of main systems on subsystems, as well as repair and crash rates caused by differentials in peacetime and wartime frame.
Pension Risk Analysis in DC plans using Stochastic Simulation
Han, Jong-Hyun ; Sung, Joo-Ho ; Seo, Dong-Won ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 163~170
DOI : 10.9709/JKSS.2014.23.4.163
This study calculates the employee receives severance pay scale are paid from the company in the DC system. In addition, by utilizing the reserve growth model were studied in accordance with shortfall risk levels generated by stochastic asset allocation. For the analysis, from 2004 to 2013 using the KOSPI returns and total bond yields were simulated. Scenario 1 is when compared to the severance reserve is insufficient. Scenario 2 is the same as if toy reserve this severance pay. During one period, depending on the asset allocation of stocks and bonds was confirmed that the probability pension risk does not occur. And we suggest that members of DC pension risk endeavor with the government and companies to avoid.
Case of Implementation of Automatic Planning for SAF
Kim, Jungyoon ; Choi, Daehoe ; Lee, Sangjin ; Jeong, Sunghoon ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 171~180
DOI : 10.9709/JKSS.2014.23.4.171
Our Automatic Replanning enables simulation entities to execute goal oriented behavior planning by dynamic behavior linking. Existing methods especially in Semi-Automated Forces (SAF) are mainly executing strict plans which are given at initial stage, thus they are not effective to cope with contingencies especially in a human in the loop simulation where humans interrupt. Moreover, those usually suffer from explosion of behavior combination in attempt to describe all possible countermeasures, and such combinations may be prone to being inconsistent to the situations. Our method generates behavior sequence in which behavior are linked from the goal in the manner of back-propagation. Each behavior has tags of pre/post-conditions. The tags are linked dynamically according to a certain contingency. The method is being applied to a national defense research project to show feasibility.
Development of a Real-time Simulation Technique for Cyber-physical System
Kim, Jiyeon ; Kim, Hyung-Jong ; Kang, Sungjoo ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 181~188
DOI : 10.9709/JKSS.2014.23.4.181
Heterogeneous physical systems and computational devices are incorporated on a large-scale in a CPS (cyber-physical system) environment. Simulations can be useful for the reliable behaviors of CPSs. Time synchronization is one of major technical issues for the simulations. In the CPS, distributed systems control themselves by interacting with each other during runtime. When some simulation models have high complexity, wrong control commands as well as incorrect data can be exchanged due to the time error. We propose a time synchronization algorithm for the hybrid model that has characteristics of both continuous time systems and discrete event systems. In addition, we develop a CPS simulator based on our algorithm. For the verification of the algorithm and the execution of the simulator, we develop an example hybrid model and simulate considering user controls as well as interactions among the distributed systems.
Cloud Computing Adoption Decision-Making Modeling Using CART
Baek, Seung Hyun ; Chang, Byeong-Yun ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 189~195
DOI : 10.9709/JKSS.2014.23.4.189
In this paper, we conducted a study on place-free and time-free cloud computing (CC) adoption decision-making model. Panel survey data which is collected from 65 people and CART (classification and regression tree) which is one of data mining approaches are used to construct decision-making model. In this modeling, there are 2 steps: In the first step, significant questions (variables) are selected. After that, the CART decision-making model is constructed using the selected variables. In the variable selection stage, the 25 questions are reduced to 5 ones. The benefits of question reduction are quick response from respondent and reducing model-construction time.
Modified Consensus Based Auction Algorithm for Task Allocation of Multiple Unmanned Aerial Vehicle
Kim, Min-Geol ; Shin, Suk-Hoon ; Lee, Eun-Bog ; Chi, Sung-Do ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 197~202
DOI : 10.9709/JKSS.2014.23.4.197
In order to operate multiple UAVs for multiple tasks efficiently, we need a task allocation algorithm with minimum cost, i.e.,total moving distance required to accomplish the whole mission. In this paper, we have proposed the MCBAA (Modified Consensus Based Auction Algorithm) which can be suitably applied to the operation of multiple UAVs. The key idea of proposed algorithm is to minimize sum of distance from current location of agents to location of tasks based on the conventional CBAA. Several simulation test performed on three UAV agents with multiple tasks demonstrates the overall efficiency both in time and total distance.
Adaptive Process Decision-Making with Simulation and Regression Models
Lee, Byung-Hoon ; Yoon, Sung-Wook ; Jeong, Suk-Jae ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 203~210
DOI : 10.9709/JKSS.2014.23.4.203
This study proposes adaptive decision making method having feed-back structure of regression and simulation models to support the quick decision making of production managers by managing and integrating the mutual relationship among historical data. For that, from historical data that have extracted and accumulated from each process, we first selected major constraint resources that are used as independent variables in regression model. The regression model is designed by using the dependent variables (objectives) that defined above by managers and independent variables selected in previous step and simulation model that are composed of constraint resources is designed. In process of simulation run, we obtain the multiple feasible solutions (alternatives) by using meta-heuristic method. Each solution is substituted by regression equation and we found the optimal solution that is minimum of difference between values obtained by regression model and simulation results. The optimal solution is delivered and incorporated to production site and current operation results from production site is used to generate new regression model after that time.
A Design of Operational Test & Evaluation System for Weapon Systems thru Process-based Modeling
Lee, Beom ; Seo, Yoonho ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 211~218
DOI : 10.9709/JKSS.2014.23.4.211
The Test and Evaluation (T&E) system became more important due to its advancement and complexity of the weapon system. Time and cost saving T&E related studies are in progress mainly with advanced countries. By utilizing the Modeling and Simulation (M&S) technology recently, we may save time and money. Also, overcome security and safety limitations. There are many M&S based research activities in South Korea but it is way behind of the system that some countries already have developed. i.e.; United States. This area of study requires new way of developing strategies in the T&E system of Korea. This study is to design the Operational T&E system for weapon systems based on modeling of processes. And we modeled the processes of operational performance evaluation through utilizing resources and performance modules of weapon systems and combined it with the simulation engine for 3D visualization. Through this, we propose the Operational T&E system for weapon systems based on modeling of processes that represent operational performances visually.
Job Classifying method based on Data Traits for Increased Efficiency of Computational Resources in Distributed Environment
Moon, Sung-Hwan ; Kim, Jae-Kwon ; Kim, Tae-Young ; Choi, Jeong-Seok ; Cho, Kyu-Cheol ; Lee, Jong-Sik ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 219~228
DOI : 10.9709/JKSS.2014.23.4.219
Various computational resources in distributed environment are to build a high-performance computing environments through virtualization technology. Recently, there is a growing need for a complicated process due to the improvement of the user-level application, which has led to demand for high-performance computing. The requested job from users is composed of data. And because of each data has own characteristics, the classifier may consider the features of data. In this paper, we propose Job Classifying method based on Data Traits for Increased Efficiency of Computational Resources in Distributed Environment (JCDT). JCDT classifies the job by data traits of the users` request, is expected to improve the job processing time and increase the processing speed of the calculation resources.
A simulation study on S-Button factory production system
Quan, GenShou ; Chang, Byeong-Yun ;
Journal of the Korea Society for Simulation, volume 23, issue 4, 2014, Pages 229~235
DOI : 10.9709/JKSS.2014.23.4.229
Improving the time and cost efficiency of production systems is one of the important means of building competitive advantage and staying profitable in the ever increasing competitive business environment. Among others, CONWIP (constant work-in-process) and DBR (drum-buffer-rope) methods are widely used in improving production process efficiency. In this study, we have developed simulation models for a real button factory production system. We have tried to improve the efficiency of the production process by implementing these two approaches to our model. According to our results, both CONWIP and DBR production approaches were found to have equivalently better results in reducing the waiting time of the bottleneck process. By applying either of the two production systems, efficiency of the real production process can be significantly improved as the simulated model results demonstrate.