Earticle

Wireless Mesh Networks is increasingly being applied widely with explosive traffic demand. This leads to a great challenge for traditional routing protocols in ensuring Quality of Service. We propose a QoS-guaranteed intelligent routing algorithm in this paper for WMN with heavy traffic load using reinforcement learning to improve its performance. We build a reward function for the Q-Learning algorithm to choose a route so that the packet delivery ratio is the highest. Concurrently, the learning rate coefficient is flexibly changed to determine constraints of the end-to-end delay. Our performance evaluations show that the proposed algorithm has significantly improved performance compared with other well-known routing algorithms.

This paper presents neural network based controller using the feedback error loaming technique for a heavy load pointing system. Also the mathematical model was developed to analyze heavy load pointing system. The control scheme consists of a feedforward neural network controller and a fixed-gain feedback controller. This neural network controller is trained so as to make the output of the feedback controller zero. The proposed controller is compared with the conventional PI controller through simulations, and the results show that the pointing accuracy of the proposed control system are improved against the disturbance induced by vehicle running on the bump course.

In this study, multibody dynamic and mechanical analyses were conducted for the structure of roller chain bucket elevator system. The fatigue life of the roller chain elevator system was determined under static and fatigue loadings. Results of multibody dynamic analysis suggested that the maximum contact force occurred at the drive sprocket engagement point with the roller chain due to maximum tension. Fatigue analysis results suggest that the high load roller chain system is durable and safe because its life time is more than 700,000 cycles, close to its designed value (1,000,000 cycle). However, the contact portion of plate and pin needed a safety factor. The dynamic analysis of the heavy load roller chain was conducted with a multibody dynamic analysis program. The results obtained in this study can be utilized for dynamic analysis of roller chain systems in all industries.

Pneumatic actuators have greater power to weight ratio than electric ones, but they have been rarely used as robotic actuators because of poor accuracy resulted from nonliearity of air. On the other hand, electric servo motors have glld controllability, but they have poor power to weight ratio. For the heavy load handling robot a combined actuating method was developed for vertical and horizontal axes of RISTBOT-ll which handles up to 250kgf load. In this paper, the control method is implemented and analyzed for the manufactured heavy load handling robot.

본 연구에서는 신뢰도기반 도로교설계기준을 위한 새로운 활하중모형을 개발하기 위하여 수집된 자료를 분석하고 단일차량의 하중효과를 구하였다. 신뢰도기반의 설계기준을 위해서는 합리적 하중모형과 함께 하중의 통계적 특성의 구축이 중요하다. 활하중의 통계적 특성의 구축을 위하여 본 연구에서 수집한 4개 지역의 자료와 타연구에서 수집된 4개지역의 자료를 이용하였다. 차량의 자료는 WIM 또는 BWIM시스템을 이용하여 신뢰할 수 있는 자료를 수집하였다. 수집된 자료로부터 대표적인 차량의 종류를 구분하였으며 각 차종별 대표적인 크기 및 중량분포를 구하였다. 각 차종별 총중량의 확률분포는 상위 20%의 자료를 극한분포(Gumbel분포)로 가정하고 확률지상에서의 선형추세선을 이용하여 100년 최대중량을 예측하였다. 예측된 차량중량에 따른 하중효과를 10-200 m까지의 지간별로 분석하였다.

In this study, truck weight data and load effects of single truck on bridges are analyzed for development of new vehicular load model of the reliability-based bridge design code. Rational load model and statistical properties of loads are important for developing reliability-based design code. In this study, truck weight data collected at four locations are used as well as data from four locations in other studies. Truck weight data are collected from WIM or BWIM system, which are known to give reliable data. Typical truck types, dimensions and axle weight distribution are determined. Probability distributions of upper 20% total truck weight are assumed as Extreme Type I and 100 years maximum truck weights are estimated by linear regression on the probability paper. The load effects of trucks having estimated maximum weights are analyzed for span length from 10 m to 200 m.

본 논문에서는 신뢰도기반 도로교설계기준을 위한 새로운 활하중모형을 개발하였다. 합리적 하중모형과 함께 하중의 통계적 특성의 구축은 신뢰도기반 설계기준의 개발에 매우 중요하다. 이전 논문에서는 WIM 또는 BWIM시스템을 이용하여 수집된 국내 8개 지역의 자료를 분석하여 교량수명기간동안의 예상최대중량을 구하였다. 차종별 총중량의 확률분포는 상위 20%의 자료를 이용하여 극한분포(Gumbel분포)로 가정되었으며 이 확률분포를 사용하여 교량수명기간동안의 최대중량을 예측하였다. 이 논문에서는 교량상에 두 대 이상의 차량이 동시에 재하되는 경우를 분석하였다. 여러 자료를 이용하여 동시재하의 확률을 구하였으며 이에 따른 동시재하차량의 총중량을 이전 논문과 같은 확률분포를 이용하여 구하였다. 10-200 m까지의 지간별로 예측된 하중효과를 모사할 수 있는 공칭하중모형이 제안되었다. 제안된 하중모형은 기존의 하중모형 뿐만 아니라 국외의 여러 기준들과 비교분석되었다.

In this paper, new vehicular load model is developed for reliability-based bridge design code. Rational load model and statistical properties of loads are important for developing reliability-based design code. In the previous paper, truck weight data collected at eight locations using WIM or BWIM system are analyzed to calculate the maximum truck weights for specified bridge lifetime. Probability distributions of upper 20% total truck weight are assumed as Extreme Type I (Gumbel Distribution) and 100 years maximum weights are estimated by linear regression. In this study, effects of multiple presence of trucks are analyzed. Probability of multiple presence of trucks are estimated and corresponding multiple truck weights are calculated using the same probability distribution function as in the previous paper. New vehicular live load model are proposed for span length from 10 m to 200 m. New model is compared with current Korean model and various load models of other countries.

Ever since, various studies have come up with ideas to improve the physical abilities of man. Just recently, a new technology has been introduced to either replace or complement the human work force. In this paper, the status of developed wearable robots is being investigated as studies were conducted to apply the types of robots applicable to the industry. To apply wearable exoskeleton robot, which enhances the physical capability of humans, the driving range of the robot's degrees of freedom were selected by analyzing working motion. The design process for augmentative exoskeleton structure is presented by analyzing the required torque and power during a selected working motion. At the end of this paper, a mock-up is introduced to validate the feasibility of the designed robot.

As the weather changes become frequent, weather disasters are increasing, causing more damage to plastic greenhouses. Among the damage caused by various disasters, damage by snow to the greenhouse takes a relatively long time, so if an alarm system is properly prepared, the damage can be reduced. Existing greenhouse design standards and snow warning systems are based on snow depth. However, even in the same depth, the load on the greenhouse varies depending on meteorological characteristics and snow density. Therefore, this study aims to secure the structural safety of greenhouses by developing sensors that can directly measure snow loads, and analysing the warning criteria for load using a stochastic model. Markov chain was applied to estimate the failure probability of various types of greenhouses in various regions, which let users actively cope with heavy snowfall by selecting an appropriate time to respond. Although it was hard to predict the precise snow depth or amounts, it could successfully assess the risk of structures by directly detecting the snow load using the developed sensor.

In this paper, we propose a dynamic stability prediction method for heavy vehicles based on Lateral Load Transfer Ratio. The key factors influencing vehicle roll motion are the vehicle's load, the position of the center of mass, the tread and the vehicle speed. Using these factors, we derive the lateral load transfer ratio (LTR) formula. In addition, we investigated LTR changes and vehicle rollover of heavy vehicles in various scenarios using TruckSim. As a result, the threshold value of the change rate of the LTR at which the vehicle rolls over was 0.68-0.72. Finally, we performed a numerical experiment to prevent rollover by calculating the optimal speed in the rollover situation.

On heavy load, the energy supplement in the starting process of Thyristor Power Supply for Parallel Resonant Induction Heating (TPSPRIH) has trouble in catching up its consumption which makes the system start more difficultly. Aimed at the puzzle, this paper proposes a starting strategy based on the analysis of parameters of heating inductor and starting circuit. Considered the process complexity in commonly used pre-charged circuit, it analyzed relationship among the parameters of heating inductor, the iron material and its filling status. Compared the supply speed with the decay characteristic of load circuit, the critical starting conditions of TPSPRIH on heavy load has been gotten, then derived the solving space of trigger angle of rectifier on energy providing. Based on the rated parameters of a typical system, the starting strategy of rectifier angle has been proposed. The simulation on different regions in the solving space has been made. The simulation result demonstrated the rationality and correctness. It probably provides a reference way for the reliable starting of TPSPRIH.

The environment in Tokamak fusion reactor is hostile to remote handling (RH) equipment that maintains in-vessel components. Many maintenance tasks include transferring components, pipe cutting, and welding in the vacuum vessel (VV). To fulfill these maintenance works, a 7- degree-of-freedom (DOF) heavy load manipulator and a 3-DOF end-effector are designed and connected together to form a 10-DOF redundant robot. The inverse kinematics for such a high redundancy robot, considering obstacle avoidance in the complex space of VV, is a challenge. To solve this problem, the Jacobian method is adopted, and a method specially designed for obstacle avoidance of redundant robots working in the VV is integrated to simplify algorithm calculation and improve inverse solution efficiency. The algorithm is applied to solve the inverse kinematics of the redundant robot for the maintenance of the divertor plasma facing components (PFC) in VV. The results show that the inverse kinematics of the redundant robot can be solved quickly with high positioning accuracy. The method can also be used for other fusion reactor maintenance robots with some adjustments. The maintenance efficiency of redundant robot can be improved with the method which can be valuable for the whole remote handling process.

This paper suggests an event-based scenario manager capable of creating and editing a scenario for shipbuilding process simulation based on multibody dynamics. To configure various situation in shipyards and easily connect with multibody dynamics, the proposed method has two main concepts: an Actor and an Action List. The Actor represents the anatomic unit of action in the multibody dynamics and can be connected to a specific component of the dynamics kernel such as the body and joint. The user can make a scenario up by combining the actors. The Action List contains information for arranging and executing the actors. Since the shipbuilding process is a kind of event-based sequence, all simulation models were configured using Discrete EVent System Specification (DEVS) formalism. The proposed method was applied to simulations of various operations in shipyards such as lifting and erection of a block and heavy load lifting operation using multiple cranes.

The unbalance heavy-load elevation driving systems are composed of rotating link-mechanism and hydraulic cylinder which actuates elevation and compensates the static unbalance moment of supporting mechanism. Control and compensation of gun driving is very difficult because these mechanism imply highly nonlinearities due to hydraulic fluid characteristics and mechanical rotation of link-mechanism. In this study, through the analysis of manufactured link-mechanism, the optimal link-mechanism design of the elevating system is suggested. Also to estimate the control performance of the unbalance heavy-load elevation servo-control driving system, modeling and simulation of the system are carried out. To prove the reliability of performance estimation program,simulation results are compared with the experimental results. Both results are similar, therefore this program will be helpful to study the control performance improvement of the system.

This paper presents the method of countermeasures before voltage collapse by load encroachment(impedance of load ability on R-X locus decrease toward zero point) and describes a study of impedance relay(zone-3) operation and voltage instability caused by over load of neighborhood line at contingency of heavy load line.

세계경기가 저성장, 저소비, 높은 실업률, 고위험, 짧은 호황 긴 불황 등을 기록하고 있다. 이에 따라 해운경기가 하락하여 선박 유지비용의 절감이 불가피해지고 있다. 이를 위해 그린 선박, 에코 선박, 스마트 선박과 같은 선박의 에너지를 절감하기 위한 연구가 활발히 진행 중에 있다. 친환경 선박에서 배터리를 사용하는 전력관리시스템은 중요한 연구분야 중 하나이다. 본 논문에서는 발전기만을 사용하는 일반적인 선박의 전력관리시스템의 중부하 제어를 분석하고 배터리 연계형 전력관리시스템에서 중부하를 제어하는 알고리즘을 연구하였다. 이를 위해 배터리 연계형 전력관리시스템의 구성을 제안하고 제안된 시스템을 기반으로 배터리 연계형 전력 시뮬레이터를 구성하였다. 구성된 시뮬레이터를 통해 배터리 연계형 전력관리시스템에서 중부하 제어에 따른 배터리의 동작을 정의하고 이를 확인하였다.

Global economy has recorded low growth, low consumption, high unemployment rate, high risk, short boom and long recession. As a result, maritime economy declines and the reduction of maintenance costs is inevitable. Thus, Studies such as green ship, eco ship, and smart ship are being actively conducted to save energy of ship. Power management system that use batteries in green ship is an important research area. In this paper, we analyze the heavy load control of a power management system of a general ship using only a generator, and study a heavy load control algorithm for a battery connected power management system. To study this, a structure of battery connected power management system is proposed and a battery connected power simulator was constructed based on the proposed system. Through the simulator, the operation of the battery according to the heavy load control is defined and confirmed in the battery connected power management system.

In this study, heavy loads driving servo control systems, which are composed of electro-hydraulic servo-valve, hydraulic motor/cylinder, gear box and link mechanism, are investigated for implemention. To predict the performances of the systems, modelling and simulation with some nonlinearities are carried out. Simulation results are compared with experimental results.

A heavy load driving system for the gun laying control is designed with the analysis of performance in pointing accuracy and speed. To eliminate the firing noise and high frequency system noise, a .PI. filter is implemented in conjunction with the PI velocity control. To incorporate the gunner's commands in the PID position control loop easily, a .mu.-processor is utilized in the position control loop. Main difficulties in the heavy load driving system exist in the design of motor drivers and heat sinkers. With an appropriate design of the motor drivers and heat sinkers, the performance of the gun laying system is analyzed by the simulation.