• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.496-496
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• 2000

We propose a neuron computer for tracking motion of particles in multi-dimensional space. The neuron computer is constructed of neural networks and their connections, which is a simplified model of the brain. The neuron computer is assemblage of neural networks, it includes a control unit, and the actions of the unit are represented by instructions. We designed a neuron computer to recognize and predict motion of particles. The recognition unit is constructed of neuron-array, encoder, and control part. The neuron-array is a model of the retina, and particles crease an image on the array, where the image is binary. The encoder picks one particle from the array, and translates the particle's location to Cartesian coordinates, which is scaled in [0, 1] intervals. Next, the encoder picks another particle, and does same process. The ordering and reduction of complex processes are executed by instructions. The instructions are held in the control part. The prediction unit is constructed of a multi-layer neural network and a feedback loop, where real time learning is executed. The particles' future locations are forecasted by coordinate values. The neuron computer can chase maximum 100 particles that take evasions.

• Korean Institute of Interior Design Journal
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• v.25 no.1
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• pp.93-100
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• 2016

Long-life housing means a housing which structural members (Support) such as columns and floor are maintained for a long period of time and the housing can be used for approximately 100 years by replacing components (Infill) such as walls and furniture. The government established "Certification standards of long-life housing construction" on December 24, 2014, requiring the long-life housing certification for construction of apartment houses for over 1,000 households. However, it is necessary to prepare an incentive measure which could be granted to construction related personnel and housing owners due to the effectiveness of such system and recognition that the initial construction cost of long-life housing is high. The purpose of this study is as follows. First, the reasons and necessity of long-life housing cost increase for each construction company, housing owner, infill component manufacturer and designer which are long-life housing related personnel are determined. The direction of incentive grant for supplying long-life housing based on the determined items is established. The result of this study is as follows. First, a special treatment which is higher than the alleviation of construction standards according to the previous ordinance is necessary for construction companies to secure the business feasibility. Also, incentives such as the provision of service space and wide balcony are necessary to improve the preference level of parceling out. Second, financial incentives such as financial support for housing purchase, reduction and exemption of tax (acquisition tax and registration tax), and support of maintenance cost are required for house owners. Third, it is essential to increase opportunities to participate in the market for infill component manufacturers by applying additional points for PQ. Fourth, it is needed to provide compensation for additional human resource and time at the time of designing to designers by preparing the long-life housing design cost standards.

• Journal of Korean Society of Transportation
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• v.29 no.3
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• pp.115-122
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• 2011

This paper investigates the accuracy of the vehicle pre-braking speed estimated based upon measured skidding distance. Driver ordinarily takes sudden braking when urgent situation is developed in the front or when the driver is involved in an unexpected situation, and the driver may be inflicted upon an accident depending on the required stopping distance. Among factors influencing the stopping distance of vehicle such as recognition response time of driver, performance of vehicle's braking device, and state of road surface etc, pre-braking speed is seemingly the most important influencing factor. Currently, in the investigating section of traffic accidents, the state of overspeed is determined by the pre-skidding speed calculated based on the length of skid mark. In order to identify the accurate cause of the accident, it is strongly recommended that estimation of pre-braking speed should be estimated taking into account speed reduction during transient time. In this study, we propose a method for estimating more accurate exact speed information of vehicle at the time of traffic accident. The outcomes from this study potentially help better understanding of the characteristics of vehicle for traffic safety in the future.

• Journal of the Korean Dietetic Association
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• v.6 no.2
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• pp.125-135
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• 2000

Hypertension is a well-known degenerative disease whose prevalence rate increases with age. Management of high blood pressure is a critical concern in preventive strategies to reduce the morbidity and mortality for cardiovascular disease. The purpose of this study was to examine the dietary characteristics of hypertensive program participants, and to establish strategies based on their nutritional needs. Hypertensive patients were enrolled in the program in a public health center or in a local elderly center, at Suwon, in 1999-2000. Trained dietitians interviewed 62 enrollees(24-hour recall) and related variables. Mean body mass index of the subjects was 25.0kg/m². 30.7% of the subjects had a family history of hypertension. The majority of them ate regularly and partook of all available side dishes. They consumed grains and vegetables regularly, but seldom ate dairy products or food prepared with oil. Male enrollees frequently consumed more processed food and animal fat than did female enrollees(p<0.05). An analysis of the percentage of RDA(Recommended Dietary Allowances of Korea 1995) showed that but for ascorbic acid, enrollees consumed nutrients below the RDA. The food group intake pattern was not diverse, thus only 8.1% of enrollees consumed all food groups in a day. An analysis of eating attitude showed that 64.5% of enrollees always added salt to beef soup. Male enrollees showed low food-related self-efficacy compared to female enrollees, especially with reference to reduction of instant food intake(p<0.01), increase in vegetable intake(p<0.01), reduction of monosodium glutamate(MSG) intake(p<0.01). and not overeating(p<0.05). Their perceived barriers for participating in hypertension nutrition programs included lack of time, program necessity non-recognition, and program comprehension difficulty. These results suggest that nutrition education program necessity non-recognition, and program comprehension difficulty. These results suggest that nutrition education programs for community hypertensive patients should focus on increasing participant consumption of foods, expecially dairy products, and desirable eating attitudes. It also suggests that the program should consider should consider encouraging self-efficacy in changing eating behavior.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.6
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• pp.95-105
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• 2003

A novel reference point detection method is proposed by exploiting tile gradient probabilistic model that captures the curvature information of fingerprint. The detection of reference point is accomplished through searching and locating the points of occurrence of the most evenly distributed gradient in a probabilistic sense. The uniformly distributed gradient texture represents either the core point itself or those of similar points that can be used to establish the rigid reference from which to map the features for recognition. Key benefits are reductions in preprocessing and consistency of locating the same points as the reference points even when processing arch type fingerprints. Moreover, the new feature extraction method is proposed by improving the existing feature extraction using filterbank method. Experimental results indicate the superiority of tile proposed scheme in terms of computational time in feature extraction and verification rate in various noisy environments. In particular, the proposed gradient probabilistic model achieved 49% improvement under ambient noise, 39.2% under brightness noise and 15.7% under a salt and pepper noise environment, respectively, in FAR for the arch type fingerprints. Moreover, a reduction of 0.07sec in reference point detection time of the GPM is shown possible compared to using the leading the poincare index method and a reduction of 0.06sec in code extraction time of the new filterbank mettled is shown possible compared to using the leading the existing filterbank method.

• Journal of IKEEE
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• v.21 no.2
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• pp.136-141
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• 2017

In this paper, we propose an algorithm for memory optimization to apply deep learning to PC. The proposed algorithm minimizes the memory and computation processing time by reducing the amount of computation processing and data required in the conventional deep learning structure in a general PC. The algorithm proposed in this paper consists of three steps: a convolution layer configuration process using a random filter with discriminating power, a data reduction process using PCA, and a CNN structure creation using SVM. The learning process is not necessary in the convolution layer construction process using the discriminating random filter, thereby shortening the learning time of the overall deep learning. PCA reduces the amount of memory and computation throughput. The creation of the CNN structure using SVM maximizes the effect of reducing the amount of memory and computational throughput required. In order to evaluate the performance of the proposed algorithm, we experimented with Yale University's Extended Yale B face database. The results show that the algorithm proposed in this paper has a similar performance recognition rate compared with the existing CNN algorithm. And it was confirmed to be excellent. Based on the algorithm proposed in this paper, it is expected that a deep learning algorithm with many data and computation processes can be implemented in a general PC.

• Journal of IKEEE
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• v.14 no.2
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• pp.24-32
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• 2010

Slotted-ALOHA and Binary-tree method are researched for the anti-collision for RFID system. However, it is required of the rapid recognition time for all tags and the reduction of the system complexity. In this paper. the hybrid anti-collision method is proposed to solve the problems. The RFID reader with the hybrid anti-collision method groups the tags with the number which makes the maximum system throughput, then it reads each group by slotted-ALOHA method. By the computer simulation results, it is found that the hybrid method improves the tag identification time and the system throughput together with the comparison to other anti-collision methods. Therefore, the proposed hybrid anti-collision method will enhance the RFID system performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.9
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• pp.2991-3007
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• 2022

Two dimensional locality preserving projections (2D-LPP) is an improved algorithm of 2D image to solve the small sample size (SSS) problems which locality preserving projections (LPP) meets. It's able to find the low dimension manifold mapping that not only preserves local information but also detects manifold embedded in original data spaces. However, 2D-LPP is simple and elegant. So, inspired by the comparison experiments between two dimensional linear discriminant analysis (2D-LDA) and linear discriminant analysis (LDA) which indicated that matrix based methods don't always perform better even when training samples are limited, we surmise 2D-LPP may meet the same limitation as 2D-LDA and propose a novel matrix exponential method to enhance the performance of 2D-LPP. 2D-MELPP is equivalent to employing distance diffusion mapping to transform original images into a new space, and margins between labels are broadened, which is beneficial for solving classification problems. Nonetheless, the computational time complexity of 2D-MELPP is extremely high. In this paper, we replace some of matrix multiplications with multiple multiplications to save the memory cost and provide an efficient way for solving 2D-MELPP. We test it on public databases: random 3D data set, ORL, AR face database and Polyu Palmprint database and compare it with other 2D methods like 2D-LDA, 2D-LPP and 1D methods like LPP and exponential locality preserving projections (ELPP), finding it outperforms than others in recognition accuracy. We also compare different dimensions of projection vector and record the cost time on the ORL, AR face database and Polyu Palmprint database. The experiment results above proves that our advanced algorithm has a better performance on 3 independent public databases.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.149-156
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• 2020

Blast furnace revamping in steel industry is one of the most important work to complete the complicated equipment within a short period of time based on the interfaces of various types of work. P company has planned to build a Smart Tracking System based on the wireless tag system with the aim of complying with the construction period and reducing costs, ahead of the revamping of blast furnace scheduled for construction in February next year. It combines the detailed design data with the wireless recognition technology to grasp the stage status of design, storage and installation. Then, it graphically displays the location information of each member in relation to the plan and the actual status in connection with Building Information Modeling (BIM) 4D Simulation. QR Code is used as a wireless tag in order to check the receiving status of core equipment considering the characteristics of each item. Then, DB in server system is built, status information is input. By implementing BIM 4D Simulation data using DELMIA, the information on location and status is provided. As a feature of the S/W function, a function for confirming the items will be added to the cellular phone screen in order to improve the accuracy of tagging of the items. Accuracy also increases by simultaneous processing of storage and location tagging. The most significant effect of building this system is to minimize errors in construction by preventing erroneous operation of members. This system will be very useful for overall project management because the information about the position and progress of each critical item can be visualized in real time. It could be eventually lead to cost reduction of project management.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.5
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• pp.504-510
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• 2018

Marine casualties are caused mainly by collisions and grounding, due to human error. The SMART Navigation Service is preparing a measure to reduce marine casualties caused by human error and establish an LTE Accident Vulnerability Monitoring System (SV10) to evaluate the danger of collision or grounding for a vessel based on location information collected on land. This service will also share real-time vessel locations and danger information with related agencies to enable them to respond more quickly to accidents on land. In this study, statistical reports on marine casualties and investigation reports provided by the Korea Maritime Safety Tribunal are analyzed, so the percentage of marine casualties that could be reduced using the SV10 service could be identified.