• Journal of the Korea Society of Computer and Information
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• v.22 no.12
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• pp.49-54
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• 2017

Pathfinding for pedestrians provided by various navigation programs is based on a shortest path search algorithm. There is no big difference in their guide results, which makes the path quality more important. Multiple criteria should be included in the search cost to calculate the path quality, which is called a multi-criteria pathfinding. In this paper we propose a user adaptive pathfinding algorithm in which the cost function for a multi-criteria pathfinding is defined as a weighted sum of multiple criteria and the weights are learned automatically by Perceptron learning. Weight learning is implemented in two ways: short-term weight learning that reflects weight changes in real time as the user moves and long-term weight learning that updates the weights by the average value of the entire path after completing the movement. We use the weight update method with momentum for long-term weight learning, so that learning speed is improved and the learned weight can be stabilized. The proposed method is implemented as an app and is applied to various movement situations. The results show that customized pathfinding based on user preference can be obtained.

• Journal of the Korea Society of Computer and Information
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• v.16 no.5
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• pp.101-107
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• 2011

The optimum weight vector is studied to remove interference and jamming signals in adaptive array antenna system. The optimum weight vector is calculated to apply a minimum variance algorithm and cost function in linearly constrained conditions, and accurately estimates target's signal. Adaptive array antenna system is the system which improves signal to noise ratio(SNR) and decreases interference and jammer power. Adaptive array antenna system delays at tap output of antenna array element. Each tap finally makes the complex signal of one in multiplier complex weight. In order to obtain optimum's weight calculation, optimum weight vector is used in this paper. After simulation, resolution is increased below $3^{\circ}$, and sidelobe is decreased about 10 dB.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.6 no.1
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• pp.147-163
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• 1998

The purpose of this research is to look for the best description of calculating the reasonable Landing Fee. Landing Fee is consisted one of major revenues for maintaining an airport. Traditional Landing Fee Rate has been charged based on the weight factor; Maximum take-off weight, Maximum landing weight, or Maximum authorized weight. To achieve a better reliable value of Landing Fee Rate, The elements of Noise and Peak-Time have to be considered as well as the aircraft weight. This research designs the algorithms for calculating Landing Fee Rate and also Landing Fee, based on the aircraft weight. The Network is also applied to above. That is, CGI(Common Gate Interface) is constructed to interface the terminal of calculating Landing Fee Rate, and the terminal of collecting and transmitting the data such as the Weight. The computer language on the CGI was made by C++ and PERL. The main point of this research is to integrate the airport and Information System and to construct the database which is based on the different perspective of calculating Landing Fee Rate. However, the result of the most efficient and reliable will be computed based on above. This research will broaden the range of application up to the each case of airports.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.12
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• pp.2324-2330
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• 2015

In blind signal processing in impulsive noise environment the maximum cross-correntropy (MCC) algorithm shows superior performance compared to MSE-based algorithms. But optimum weight conditions of MCC algorithm and its properties related with robustness to impulsive noise have not been studied sufficiently. In this paper, through the analysis of the behavior of its optimum weight and the relationship with the MSE-based LMS algorithm, it is shown that the optimum weight of MCC and MSE-based LMS have an equal solution. Also the factor that keeps optimum weight of MCC undisturbed and stable under impulsive noise is proven to be the magnitude controlled input through simulation.

• Structural Engineering and Mechanics
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• v.58 no.1
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• pp.143-161
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• 2016

Utilization of mineral and chemical admixtures in concrete technology has led to changes in the formulation and mix design in recent decades, which has, in turn, made the concrete stronger and more durable. Lightweight concrete is an excellent solution in terms of decreasing the dead load of the structure, while self-compacting concrete eases the pouring and removes the construction problems. Combining the advantages of lightweight concrete and self-compacting concrete is a new and interesting research topic. Considering its light weight of structure and ease of placement, self-compacting lightweight concrete may be the answer to the increasing construction requirements of slender and more heavily reinforced structural elements. Twenty one laboratory experimental investigations published on the mix proportion, density and mechanical properties of lightweight self-compacting concrete from the last 12 years are analyzed in this study. The collected information is used to investigate the mix proportions including the chemical and mineral admixtures, light weight and normal weight aggregates, fillers, cement and water. Analyzed results are presented in terms of statistical expressions. It is very helpful for future research to choose the proper components with different ratios and curing conditions to attain the desired concrete grade according to the planned application.

• The Korean Journal of Community Living Science
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• v.27 no.3
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• pp.477-493
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• 2016

This research was conducted to investigate the performance of a weight control program in university students in Daejeon during 3 months from November 2014 to February 2015. This program measured body measurement and composition analysis, nutritional education, and counseling every month. The status of students' weight control was surveyed before and after the program. The participants were 17 males (24.5 years old) and 15 females (20.8 years old). Their weights before the program were 78.2 kg (male) and 57.2 kg (female), whereas after the program, weights were 77.6 kg (male) and 56.2 kg (female). Weight reduction in students was 53.1%, and weight increase was 40.6% by the weight control program. Body mass index (BMI) tended to decrease after the program. Body fat % and muscle masses were not significantly different by program practice. Body image decision of females showed mainly 'normal' status while that of male was 'over fatty constitution', Before and after the program, the most prevalent method of weight control was exercise for all students. The most selected exercise was 'walking and jogging' during the program. For the most effective weight control method, female acknowledged both 'reducing amount of meals' and 'increasing exercise' while males selected 'increasing exercise.' On the side effects of weight control, over 40% of all students chose 'no experience' and 'loss of volition'. The degree of student's goal achievement was largely 20 ~-20% compared with their goal weights. Accordingly, this program didn't show significant effects. For effective weight control, it is recommended to conduct nutritional education. Students can exercise regularly and control diet to sustain a healthy and satisfactory body status.

• Nutrition Research and Practice
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• v.11 no.4
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• pp.307-318
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• 2017

BACKGROUND/OBJECTIVES: Relocation to new environments can have a negative impact on health by altering body weight and dietary patterns. This study attempted to elucidate changes in body weight, food security, and their current food and nutrient consumption in adult North Korean refugees (NKR) living in South Korea (SK). SUBJECTS/METHODS: This study analyzed data on 149 adult NKR from a North Korean refugee health in SK cohort at four time points (leaving North Korea, entering SK, first examination, and second examination). Body weight was self-reported at the two earlier time points and directly measured at the two later time points. Food security, diet-related behaviors (dietary habits and food consumption), and sociodemographic information were obtained using a self-administered questionnaire. Nutrient intake information was obtained by one-day 24-hour recall. Statistical analyses were performed with SPSS ver 23.0. RESULTS: Body weight increased during relocation by an average of 4 kg, although diversified patterns were observed during the settlement period in SK. Approximately 39.6% of subjects maintained their body weight between the first and second examinations, whereas 38.6% gained and 22.1% lost at least 3% of their body weight at the first examination by the second examination. Food security status improved from 12.1% food secure proportion to 61.7%. NKR showed generally good food and nutrient consumption (index of nutrient quality: 0.77-1.93). The body weight loss group showed the most irregular meal consumption pattern (P < 0.05), and eating-out was infrequent in all three groups. Consumption frequencies of food groups did not differ by group, except in the fish group (P = 0.036). CONCLUSION: This study observed considerable body weight adjustment during the settlement period in SK after initial weight gain, whereas food security consistently improved. More detailed understanding of this process is needed to assist healthy settlement for NKR in SK.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.9
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• pp.45-53
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• 2015

Adaptive support-weight based algorithm can produce better disparity map compared to generic area-based algorithms and also can be implemented as a realtime system. In this paper, we propose a realtime system based on geodesic support-weight which performs better segmentation of objects in the window. The data scheduling is analyzed for efficient hardware design and better performance and the parallel architecture for weight update which takes the longest delay is proposed. The exponential function is efficiently designed using a simple step function by careful error analysis. The proposed architecture is designed with verilogHDL and synthesized using Donbu Hitek 0.18um standard cell library. The proposed system shows 2.22% of error rate and can run up to 260Mhz (25fps) operation frequency with 182K gates.

• The KIPS Transactions:PartC
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• v.16C no.1
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• pp.27-36
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• 2009

The leaking of personal information is mostly occurred by internal users. The confidential information such as credit card number can be disclosed or modified by system manager easily. The secure storaging and managing scheme for sensitive data of individual and enterprise is required for distributed data management. The manager owning private data is needed to have a weight which is a right to disclose a private data. For deciding a weight, it is required that system is able to designate the level of user's right. In this paper, we propose the new algorithm named digit-independent algorithm. And we propose a new data management scheme of gathering and processing the data based on digit-independent algorithm. Our sharing and recovering scheme have the efficient computation operation for managing a large quantity of data using weight table. The proposed scheme is able to use for secure e-business data management and storage in ubiquitous computing environment.

• Journal of Information Processing Systems
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• v.13 no.2
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• pp.256-267
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• 2017

An active research area in computer vision, stereo matching is aimed at obtaining three-dimensional (3D) information from a stereo image pair captured by a stereo camera. To extract accurate 3D information, a number of studies have examined stereo matching algorithms that employ adaptive support weight. Among them, the adaptive census transform (ACT) algorithm has yielded a relatively strong matching capability. The drawbacks of the ACT, however, are that it produces low matching accuracy at the border of an object and is vulnerable to noise. To mitigate these drawbacks, this paper proposes and analyzes the features of an improved stereo matching algorithm that not only enhances matching accuracy but also is also robust to noise. The proposed algorithm, based on the ACT, adopts the truncated absolute difference and the multiple sparse windows method. The experimental results show that compared to the ACT, the proposed algorithm reduces the average error rate of depth maps on Middlebury dataset images by as much as 2% and that is has a strong robustness to noise.