• Communications for Statistical Applications and Methods
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• v.8 no.1
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• pp.271-279
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• 2001

Sequential pattern discovery is one of main interests in web usage mining. the technique of sequential pattern discovery attempts to find inter-session patterns such that the presence of a set of items is followed by another item in a time-ordered set of server sessions. In this paper, a tree-based sequential pattern finding method is proposed in order to discover navigation patterns in server sessions. At each learning process, the suggested method learns about the navigation patterns per server session and summarized into the modified Rymon's tree.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.571-576
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• 2020

When a user visits a specific site through various devices, the hero image located in the main area that can be viewed without scrolling includes multiple slides and has various carousel navigation patterns. While there is a negative perception that the carousel design does not receive the user's choice due to the hidden slide, it can be seen that its usefulness can vary depending on the user's context. In addition, the navigation pattern of the carousel design is the factor that has the greatest influence on the user experience. The left and right arrow navigation pattern, the bottom pagination navigation pattern, the accordion type navigation pattern, the thumbnail type navigation pattern, the divided slide type navigation pattern, and the last. It could be divided into six types of left and right slide navigation patterns.

• Journal of Global Scholars of Marketing Science
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• v.13
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• pp.209-229
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• 2004

Although the site evaluation factors that affect the navigation pattern are well documented, the attempt to explore the difference in the relationship between navigation pattern and site evaluation factors by post hoc segmentation approach has been relatively rare. For this purpose, this study constructs the structure equation model using web-evaluation data and log file of a community site with 300,000 members. And then it applies the structure equation model to each segment. Each segment is identified by mixture model. Mixture model is to unmix the sample, to identify the segments, and to estimate the parameters of the density function underlying the observed data within each segment. The study examines the opportunity to increase GFI, using mixture model which supposes heterogeneous groups in the users, not through specification search by modification index from structure equation model. This study finds out that AGFI increases from 0.819 at total sample to 0.927, 0.930, 0.928, 0.929 for each 4 segments in the case of the community site. The results confirm that segment level approach is more effective than model modification when model is robust in terms of theoretical background. Furthermore, we can identify a heterogeneous navigation pattern and site evaluation variation in the community website at segment level.

• Journal of Digital Convergence
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• v.16 no.4
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• pp.321-327
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• 2018

Applications have evolved with the evolution of smartphones, and the search structure is changing as well. In this study, we searched through various cases of cross platform and found out the search pattern and suggested correct usage method accordingly. As a result, the search structure for cross platform can be divided into persistent navigation, temporary navigation, and auxiliary navigation. Persistent navigation is available in a hierarchical structure using springboards, lists, galleries, and top menus. Temporary navigation can take advantage of drawers, toggle menus, and pie menus, while secondary navigation can provide the same experience across platforms using an accordion menu or scrolling.

• Journal of the Korean Institute of Navigation
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• v.4 no.2
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• pp.1-6
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• 1980

Computer simulation results on the radiation pattern of an ultrasonic beam by the plurall arrangement of the transducers were reported by Sin (1979). This paper describes on the measurement of radiation pattern in case of one vibrox transducer and two vibrox transducers by varying the interval between the transducers. The measured results obtained are as follows; 1. Radiation wave of ultrasonic transducer is propagated to diffuse with spherical wave from center of transducer. 2. In case of one vibrox transducer, the greater the length of transducer, the sharper becomes the radiation pattern. 3. In case of two vibrox transducers, the maine lobe is revealed at the center of two transducers, it is shown difficult to make control freely of radiation pattern by varying merely the interval of transducers.

• Journal of Electrical Engineering and Technology
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• v.10 no.5
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• pp.2142-2148
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• 2015

This paper proposes novel real-time footstep planning and following methods for the navigation of humanoid robots. A footstep command is defined by a walking direction and step lengths for footstep planning. The walking direction is determined by a uni-vector field navigation method, and the allowable yawing range caused by hardware limitation is considered. The lateral step length is determined to avoid collisions between the two legs while walking. The sagittal step length is modified by a binary search algorithm when collision occurs between the robot body and obstacles in a narrow space. If the robot body still collides with obstacles despite the modification of the sagittal step length, the lateral step length is shifted at the next footstep. For footstep following, a walking pattern generator based on a 3-D linear inverted pendulum model is utilized, which can generate modifiable walking patterns using the zero-moment point variation scheme. Therefore, it enables a humanoid robot to follow the footstep command planned for each footstep. The effectiveness of the proposed method is verified through simulation and experiment.

• Journal of the Korean Society for Precision Engineering
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• v.19 no.8
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• pp.147-154
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• 2002

In this paper, a path navigation algorithm through use of a sensor platform is proposed. The sensor platform is composed of two electric motors which make panning and tilting motions. An algorithm for computing a real path and an obstacle length is developed by using a scanning method that controls rotation of the sensors on the platform. An Autonomous Robot Vehicle(ARV) can perceive the given path by adapting this algorithm. A sensor scanning method is applied to the sensor platform for using small numbers of sensor. The path navigation algorithm is composed of two parts. One is to perceive a path pattern, the other is used to avoid an obstacle. An optimal controller is designed for tracking the reference path which is generated by perceiving the path pattern. The ARV is operated using the optimal controller and the path navigation algorithm. Based on the results of actual experiments, this algorithm for an ARV proved sufficient for path navigation by small number of sensors and for a low cost controller by using the sensor platform with a scanning method.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.80-80
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• 2000

The GPS can provide accurate position information on the earth. But GPS receiver can't give position information inside buildings. DR(Dead-Reckoning) or INS(Inertial Navigation System) gives position information continuously indoors as well as outdoors, because they do not depend on the external navigation information. But in general, the inertial sensors severely suffer from their drift errors, the error of these navigation system increases with time. GPS and DR sensors can be integrated together with Kalman filter to overcome these problems. In this paper, we developed a personal navigation system which can be carried by person, using GPS and electronic pedometer. The person's footstep is detected by an accelerometer installed in vertical direction and the direction of movement is sensed by gyroscope and magnetic compass. In this case the step size is varying with person and changing with circumstance, so determining step size is the problem. In order to calculate the step size of detected footstep, the neural network method is used. The teaming pattern of the neural network is determined by human walking pattern data provided by 3-axis accelerometer and gyroscope. We can calculate person's location with displacement and heading from this information. And this neural network method that calculates step size gives more improved position information better than fixed step size.

• Journal of Advanced Navigation Technology
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• v.15 no.6
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• pp.1163-1172
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• 2011

This study attempted to analyze between TV and family. While almost research has focused on the TV influencing family, this study has tried to contemplate family type and family communication pattern influencing TV use. Especially, this research focused on adolescent TV use. The result and conclusion are as follow: There are different children's TV watching styles based on family communication pattern(conversation-orientation and conformity-orientation). The amount of TV watching is high in conformity-orientation family pattern, and the amount of TV watching is low in conversation-orientation family pattern. In addition, conformity-orientation family pattern more prefer entertainment program, while conversation-orientation family pattern prefer informational program.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.4
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• pp.35-41
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• 2011

The purpose of this study was to examine drivers' driving behaviors and eye-movements according to driving speed and navigation- position while operation of the navigation in driving. For this purpose, two driving conditions (low-speed and high-speed) and two navigation-positions (top and bottom location of the center console) were set. Drivers' driving behaviors (speed, speed variation, coefficient of variation, and the number of collisions) and eye-movements (overall eye pattern, the average scanning time of navigation, and the number of gaze-out on the road for more 2 seconds) were measured. As a result, when the navigation was located at the bottom of the console, difficulties of lateral control was appeared in low-speed driving condition, and the that of longitudinal control was appeared in high-speed driving condition. In addition, above situation made the drivers' scanning times of navigation long, increased the number of gaze-out on the road for more 2 seconds, and made overall eye pattern monotonous. These results could be interpreted that the manipulation of the navigation at the bottom of console cause reduced attention capacity due to the cognitive load.