Seong-Joo Kim

Study on method of route choice problem based on user preference

The progress of industrialization and civilization accelerates the complexity of traffic system. To solve the problem of increase of traffic volume and complexity of traffic system, the methods that offer real-time traffic information to drivers like Intelligent Transport System(ITS) are proposed and are researched. Also navigation system that can use in a car is being studied. This paper suggests the selection method of route for the drivers assistant system that can become individual system to driver by addition of drivers tendency. Drivers tendency defines as characteristic of the drivers driving pattern and the selected driving route. This paper infers drivers tendency and characteristics of routes by use of fuzzy logic and simulates the proposed algorithm with Personal Computer(PC) and personal Digital Assistant(PDA).

Design of the scaling-wavelet neural network using genetic algorithm

We propose the composition method of the activation function in the hidden layer with the scaling function which can represent the region where the several wavelet functions can be represented. In this method, we can decrease the size of the network with a few wavelet functions. In addition, when we determine the parameters of the scaling function we can process a rough approximation and then the network becomes more stable. The other wavelets can be determined by the global solution, the genetic algorithm which is suitable for the suggested problem is given, and also, we use the back-propagation algorithm in the learning of the weights. In this step, we approximate the target function with a fine tuning level.

Multiple sensor fusion and motion control of snake robot based on soft-computing

The recent development in robot filed shows that practical application of robot has transferred from industry to humans daily life. That is, robots which are modeled on human being as well as various animals have shown up. If a robot just moves around certain place as it controls its links, it is not more than a toy for children. A robot has to mount with various sensors to get information from environment, infer environment from sensor information and act properly as human being does with the five senses. In this paper, we made a snake shaped robot mounted with various sensors such as image, gas, temperature and luminosity sensor. The data from sensors is fused by soft-computing method. The snake robot recognizes environment with the fused sensor information and acts according to the result of expert system which is able to infer what proper action is.

Implementation of Intelligent and Human-Friendly Home Service Robot

Robot systems have applied to manufacturing or industrial field for reducing the need for human presence in dangerous and/or repetitive tasks. However, robot applications are transformed from industrial field to human life in recent tendency Nowadays, final goal of robot is to make a intelligent robot that can understand what human say and learn by itself and have internal emotion. For example Home service robots are able to provice functions such as security, housework, entertainment, education and secretary To provide various functions, home robots need to recognize human`s requirement and environment, and it is indispensable to use artificial intelligence technology for implementation of home robots. In this paper, implemented robot system takes data from several sensors and fuses the data to recognize environment information. Also, it can select a proper behavior for environment using soft computing method. Each behavior is composed with intuitive motion and sound in order to let human realize robot behavior well.

Evolvable recommendation system in the portable device based on the emotion awareness

Recently, the portable devices became very popular and many people have a portable device. The functionality of the portable device is demanded to be advanced more highly. Moreover, the portable device has intelligence as a result of technical advance. In fact, people hope that the portable device can work and operate by itself for users satisfaction. This paper introduces the portable device that can be an intelligent and evolvable system and also can recognize the emotional awareness. The emotional awareness means the feeling of user who uses the portable device. It is very intelligent function for the portable device to provide suitable operation for the user being based on the status of users emotion. In this experiment, the suitable operation generated by portable device will be intelligent recommendation function such as genre selection or music recommendation. In order to show the performance of the proposed intelligent portable device, the genre selection will be introduced as a result. The intelligent portable device having an evolvable recommendation function may have various functions in the future according to the type of intelligent application and the accuracy of emotional awareness.

Intelligent Robot Control with Personal Digital Assistants Using Fuzzy Logic and Neural Network

To control the mobile robot system with wired controller by manual is so easy but user must keep the status and movement of mobile robot all the time. It is more efficient to control the mobile robot with remote controller by automatically. The user does not need to know the current status of the robot or where it is. In this paper, we propose the intelligent robot control technique for mobile robot using the wireless and remote controller, personal digital assistants (PDA) that has an intelligent navigation algorithm such as fuzzy logic and neural network. With the proposed technique, the mobile robot can trace human at regular intervals by the remote control method with PDA without user’s manual command. The mobile robot can recognize the distances between it and human whom the robot must follow with both multi-ultrasonic sensors and PC-camera and then, can decide the direction and velocity of itself to keep the given regular distances. The proposed PDA control system, which is intelligent and remote, can make user be free from the observation of the mobile robot to control the robot properly.

Memory Management Model Using Combined ART and Fuzzy Logic

The human being receives a new information from outside and the information shows gradual oblivion with time. But the information remains in memory and isn`t forgotten for a long time if the information is read several times over. For example, we assume that we memorize a telephone number when we listen and never remind we may forget it soon, but we commit to memory long time by repeating. If the human being received new information with strong stimulus, it could remain in memory without recalling repeatedly. The moments of almost losing one`s life in an accident or getting a stroke of luck are rarely forgiven. The human being can keep memory for a long time in spite of the limit of memory for the mechanism mentioned above. In this paper, we propose a model to explain the mechanism mentioned above using a neural network and fuzzy.

A Study on Intelligent Path Searching and Guide using RFID and Fuzzy Logic

As it got through the step of super-high speed internet, mobile and digital convergence, the Ubiquitous Society is being attained gradually. Now, it is being variously spread not only the little ordinaries of communication but also fields of economy and industry. Specially, RFID and Navigation system are being used at home and foreign. These are prospected to give assistances that it brings along the competitive power of nation. But inflection range of RFID and Navigation is localized in the most simplest. This paper proposes system to reflect the individual and special quality using RFID and Navigation and to fit easily changing environment. And we studied to use what kind of information in the special environment. We used Fuzzy Logic and TSP for making the intelligence path searching and guiding system with more information.

Study for intelligent guide system using soft computing

GPS navigation system has been begun to install to the car since the 1990s. The early system was road guide but it is giving much serviceableness to user because various functions are added by the development of various techniques. However the growth of the most important guide thing of navigation system is yet not conspicuous. In this paper, intelligent guide system that infers information of various recommended road and can guide suitable road to personal tendency was proposed. By using fuzzy logic, it updates users driving tendency at regular intervals and infers road state. Also path breakaway inference system that learns users movement path and can secure personal security was proposed by using GPS information.

Learning for Environment and Behavior Pattern Using Recurrent Modular Neural Network Based on Estimated Emotion

Rational sense is affected by emotion. If we add the factor of estimated emotion by environment information into robots, we may get more intelligent and human-friendly robots. However, various sensory information and pattern classification are prescribed for robots to learn emotion so that the networks are suitable for the necessity of robots. Neural network has superior ability to extract character of system but neural network has defect of temporal cross talk and local minimum convergence. To solve the defects, many kinds of modular neural networks have been proposed because they divide a complex problem into simple several subproblems. The modular neural network, introduced by Jacobs and Jordan, shows an excellent ability of recomposition and recombination of complex work. On the other hand, the recurrent network acquires state representations and representations of state make the recurrent neural network suitable for diverse applications such as nonlinear prediction and modeling. In this paper, we applied recurrent network for the expert network in the modular neural network structure to learn data pattern based on emotional assessment. To show the performance of the proposed network, simulation of learning the environment and behavior pattern is proceeded with the real time implementation. The given problem is very complex and has too many cases to learn. The result will show the performance and good ability of the proposed network and will be compared with the result of other method, general modular neural network.