• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.5
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• pp.125-135
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• 2012

This paper proposes the new object detection system with two laser-scanners and a camera for classifying the objects and predicting the location of objects on road street. This detection system could be applied the new C-ITS service such as ADAS(Advanced Driver Assist System) or (semi-)automatic vehicle guidance services using object's types and precise position. This study describes the some examples in other countries and feasibility of object detection system based on a camera and two laser-scanners. This study has developed the heterogenous sensor's fusion method and shows the results of implementation at road environments. As a results, object detection system at roadside infrastructure is a useful method that aims at reliable classification and positioning of road objects, such as a vehicle, a pedestrian, and obstacles in a street. The algorithm of this paper is performed at ideal condition, so it need to implement at various condition such as light brightness and weather condition. This paper should help better object detection and development of new methods at improved C-ITS environment.

• Journal of IKEEE
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• v.24 no.1
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• pp.200-207
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• 2020

In this paper, an area-efficient feature extractor was proposed for security surveillance radar systems and FPGA-based implementation results were presented. In order to reduce the memory requirements, features extracted from Doppler profile for FFT window-size are used, while those extracted from total spectrogram for frame-size are excluded. The proposed feature extractor was design using Verilog-HDL and implemented with Xilinx Zynq-7000 FPGA device. Implementation results show that the proposed design can reduce the logic slice and memory requirements by 58.3% and 98.3%, respectively, compared with the existing research. In addition, security surveillance radar system with the proposed feature extractor was implemented and experiments to classify car, bicycle, human and kickboard were performed. It is confirmed from these experiments that the accuracy of classification is 93.4%.

• Design Convergence Study
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• v.15 no.5
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• pp.55-70
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• 2016

Multi shopping malls provide us new life-style nowadays with the term, malling. Multi shopping malls are consisted of selling space, entertainment space and convenience space so that arrangement and circulation planning of each facilities have large influence to users. Based on this influences, this study aims to provide basic data for multi shopping malls' circulation planning. Therefore, this study selected 6 multi shopping malls in Seoul and conducted survey that satisfaction of circulation planning of multi shopping malls. For user satisfaction investigation, we studied concept of multi shopping mall following Korean building act and selected composition and characteristics of circulation. Also, we classified the malls to size and circulation shapes for comparison of the satisfaction results. Classified types are high-rise and low-rise and they are separated to small size and big size. In addition, classified circulation shapes are categorized to net type, loop type, cyclical loop type and multi type by forms of central space and main stream of the malls.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.305-313
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• 2019

Recently, spatial information is being constructed actively based on the images obtained by drones. Because occlusion areas occur due to buildings as well as many obstacles, such as trees, pedestrians, and banners in the urban areas, an efficient way to resolve the problem is necessary. Instead of the traditional way, which replaces the occlusion area with other images obtained at different positions, various models based on deep learning were examined and compared. A comparison of a type of feature descriptor, HOG, to the machine learning-based SVM, deep learning-based DNN, CNN, and RNN showed that the CNN is used broadly to detect and classify objects. Until now, many studies have focused on the development and application of models so that it is impossible to select an optimal model. On the other hand, the upgrade of a deep learning-based detection and classification technique is expected because many researchers have attempted to upgrade the accuracy of the model as well as reduce the computation time. In that case, the procedures for generating spatial information will be changed to detect the occlusion area and replace it with simulated images automatically, and the efficiency of time, cost, and workforce will also be improved.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.2
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• pp.149-155
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• 2020

The Korea Highway Traffic Authority provides statistics that analyze the causes of traffic accidents that occurred since 2015 using the Traffic Accident Analysis System (TAAS). it was reported Through TAAS that the driver's forward carelessness was the main cause of traffic accidents in 2018. As statistics on the cause of traffic accidents, 51.2 percent used mobile phones and watched DMB while driving, 14 percent did not secure safe distance, and 3.6 percent violated their duty to protect pedestrians, representing a total of 68.8 percent. In this paper, we propose a system that has improved the advanced driver assistance system ADAS (Advanced Driver Assistance Systems) by utilizing CNN (Convolutional Neural Network) among the algorithms of Deep Learning. The proposed system learns a model that classifies the movement of the driver's face and eyes using Conv2D techniques which are mainly used for Image processing, while recognizing and detecting objects around the vehicle with cameras attached to the front of the vehicle to recognize the driving environment. Then, using the learned visual steering model and driving environment data, the hazard is classified and detected in three stages, depending on the driver's view and driving environment to assist the driver with the forward and blind spots.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.3D
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• pp.255-261
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• 2010

The evaluation regarding a transportation policy by an evaluation volition viewpoint there is a difference. Consequently the insurgent analysis which is simple compared to against the evaluation object it was accurate, the analysis which leads the order anger probably is necessary. The research which it sees for the evaluation regarding the transportation policy of the metropolis divided in road being understood, public transportation, parking and pedestrian environment, wide area transportation and transportation information and transportation field whole. And against these field it tried the ALSCAL method and MDPREF method which is a Multidimensional Scale method and it analyzed. The regression analysis result for a dimensional analysis ALSCAL method the case of the transportation policy star improvement degree which it follows in introduction presence of intelligence transportation system and MDPREF method it confronted to the transportation policy star improvement degree which it follows in expansion to construction of specific function appeared with the fact that it is the tendency probably. And the evaluation object and evaluation in the object which will cut the positioning one result was each divided in 4 group. And two methods all it was visible a similar tendency. The ALSCAL method currently transportation system construction degree condition in base and, the MDPREF method currently improvement degree of the transportation policy which it follows in traffic system construction appeared with the fact that it is desirable to establish a hereafter traffic policy in base.

• Journal of the Korean Orthopaedic Association
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• v.54 no.5
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• pp.411-417
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• 2019

Purpose: To compare the clinical outcomes of single injection adductor canal block (SACB), continuous adductor canal block (CACB), and the concomitant use of transdermal buprenorphine after total knee arthroplasty (TKA). Materials and Methods: A total of 125 patients who underwent TKA were divided into three groups and the clinical results were retrospecitively compared. Group I was comprised of patients with pain controlled by SACB (n=41). Group II consisted of patients with pain controlled by both SACB and transdermal buprenorphine (10 ㎍/h) (n=44). Group III contained patients with pain controlled by CACB (n=40). The visual analogue scale (VAS) was used as the pain control indicator and the patients were measured on a VAS for resting on the bed (VAS-Rest) at 12 hours, 24 hours, and 48 hours after surgery. The VAS while doing continuous passive motion (VAS-CPM) on the first and second postoperative day was also measured. In addition, the total amount of medications used (Butopahn, Tridol, and Ketorac) for the intravenous patient controlled analgesia (PCA) was counted for 48 hours after surgery. As the indicator of the functional recovery outcome, the incidence of nausea and vomiting was observed for 48 hours after surgery. The maximum knee joint flexion range and maximum walking distance on the first and second postoperative day, and the total length of stay at the hospital were compared. Results: The VAS-Rest was similar in the three groups at 12 hours after surgery, but at 24 hours and 48 hours after surgery, group II and III a lower VAS-CPM and total amount of medications used for PCA than group I (p<0.05). The three groups showed a low incidence of nausea and vomiting, maximum knee joint flexion range, and similar walking distance and total length of stay at the hospital. Conclusion: The combination of SACB and transdermal buprenorphine has great pain control effect initially. On the other hand, it is not associated with catheter complications and it is convenient to use and safety toward the renal function. Therefore, the concomitant use of SACB and transdermal buprenorphine can be an effective pain control method after TKA.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.6
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• pp.793-799
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• 2023

This study classifies the types of urban railway stations that reflect the location characteristics of urban railway stations, the structure and form of station taxes, and the number of users, and the level of inconvenience in the transfer movement line for users by station type, the number and connectivity of transfer information, and the level of transfer convenience facilities. The number of installations, conflicts between users, and transfer information signs were analyzed. As a result of data analysis, it was found that the factors that cause the most inconvenience to urban rail users when transferring are the length and curvature of the transfer line, pedestrian density and number of passengers in the transfer passage, presence or absence of transportation convenience facilities, and the size and height of transfer information letters. These transfer inconveniences were objectified, quantified, and presented as evaluation indicators that can measure the transfer convenience of urban railway stations. Additionally, an evaluation scale was developed to measure the service level for each evaluation indicator. The evaluation scale for each indicator presented six levels by applying linear interpolation based on the maximum and minimum values of data derived through field surveys. However, it is judged that a comprehensive evaluation of transfer convenience that combines the importance and weight of each convenience evaluation indicator should be established through future research.

• Fire Science and Engineering
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• v.31 no.4
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• pp.95-102
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• 2017

The fires in the traditional markets often occur recently with the most of them expanded into great fires so that the damage is very serious. The status of traditional markets handling the distribution for ordinary people is greatly shrunk with the aggressive marketing of the local large companies and the foreign large distribution companies after the overall opening of the local distribution market. Most of the traditional markets have the history and tradition from decades to centuries and have grown steadily with the joys and sorrows of ordinary people and the development of the local economy. The fire developing to the large fire has the characteristics of the problem that the fire possibility is high since all products can be flammable due to the deterioration of facilities, the arbitrary modification of equipment, and the crowding of the goods for sale. Furthermore, most of the stores are petty with their small sizes so that the passage is narrow affecting the passage of pedestrians. Accordingly, the traditional markets are vulnerable to fire due to the initial unplanned structural problem so that the large scale fire damage occurs. The study is concerned with systematically classifying and analyzing the result by applying the TRIZ tool to the fire risk factors to extract the fundamental problem with the fire of the traditional market and make the active response. The study was done for preventing the fire on the basis of it and the expansion to the large fire in case of fire to prepare the specific measure to minimize the fire damage. On the basis of the fire expansion risk factor of the derived traditional market, the study presented the passive measures such as the improvement of the fire resisting capacity, the fire safety island, etc. and the active and institutional measures such as the obligation of the fire breaking news facilities, the application of the extra-high pressure pump system, the divided use of the electric line, etc.

• The Journal of Korean Orthopaedic Ultrasound Society
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• v.5 no.2
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• pp.61-65
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• 2012

Purpose: The aim of this study was to evaluate the effectiveness of ultrasound-guide steroid injection according to Morton's neuroma size. Materials and Methods: From October 2008 to September 2011, 17 patients (23 cases) diagnosed with Morton's neuroma were investigated. All cases were female and mean age was 52.6 years old. Neuroma were measured by the horizontal and longitudinal length of the mass and underwent ultrasound-guided steroid (5 mg dexamethasone) injection. The efficacy of the injection was determined by Visual Analogue Scale pain score and patient satisfaction(subdivided 4 group-much improved, improved, not improved, aggrevation) Results: 7 of 23(30.4%) cases showed much improved and improved satisfaction and mean longitudinal and horizontal length were $0.71{\pm}0.39cm$ and $0.47{\pm}0.24cm$, respectively. 16 of 23(69.6%) cases showed not improved and aggrevation satisfaction and mean longitudinal and horizontal length were $0.83{\pm}0.42cm$ and $0.54{\pm}0.14cm$, repectively. There was a significant difference in VAS and patient satisfaction in case longitudinal and horizontal length were smaller than 0.5 cm and 0.4 cm. (p<0.05) Conclusion: The ultrasonography is a important modality in diagnosis and treatment of morton's neuroma. Ultrasound-guide steroid injection is effective in case longitudinal and horizontal length were smaller than 0.5 cm and 0.4 cm, respectively.