• Smart Structures and Systems
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• v.10 no.2
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• pp.131-154
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• 2012

In this paper, it is aimed to determine the seismic behaviour of highway bridges by nondestructive testing using ambient vibration measurements. Eynel Highway Bridge which has arch type structural system with a total length of 216 m and located in the Ayvaclk county of Samsun, Turkey is selected as an application. The bridge connects the villages which are separated with Suat U$\breve{g}$urlu Dam Lake. A three dimensional finite element model is first established for a highway bridge using project drawings and an analytical modal analysis is then performed to generate natural frequencies and mode shapes in the three orthogonal directions. The ambient vibration measurements are carried out on the bridge deck under natural excitation such as traffic, human walking and wind loads using Operational Modal Analysis. Sensitive seismic accelerometers are used to collect signals obtained from the experimental tests. To obtain experimental dynamic characteristics, two output-only system identification techniques are employed namely, Enhanced Frequency Domain Decomposition technique in the frequency domain and Stochastic Subspace Identification technique in time domain. Analytical and experimental dynamic characteristic are compared with each other and finite element model of the bridge is updated by changing of boundary conditions to reduce the differences between the results. It is demonstrated that the ambient vibration measurements are enough to identify the most significant modes of highway bridges. After finite element model updating, maximum differences between the natural frequencies are reduced averagely from 23% to 3%. The updated finite element model reflects the dynamic characteristics of the bridge better, and it can be used to predict the dynamic response under complex external forces. It is also helpful for further damage identification and health condition monitoring. Analytical model of the bridge before and after model updating is analyzed using 1992 Erzincan earthquake record to determine the seismic behaviour. It can be seen from the analysis results that displacements increase by the height of bridge columns and along to middle point of the deck and main arches. Bending moments have an increasing trend along to first and last 50 m and have a decreasing trend long to the middle of the main arches.

• Korean Security Journal
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• no.17
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• pp.255-276
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• 2008

The important items, which should be considered in Private Investigation Law, can include subjects, licenses, the scope of business, qualifying examinations, and supervisory and penal provisions. The subjects of Private Investigation Law should be permitted to be both natural persons and juridical persons in terms of providing various services, but should be permitted to be juridical persons and should be administered on a license system, even in order to ensure public interests. Concretely, the introduction scope of Private Investigation Law can be regulated to include the followings: that is, investigating the whereabouts identification of runaways and missing children, investigating the personal identification, habit, way of action, motivation, whereabouts identification, real child confirmation, association, transaction, reputation, and personality of specific persons or specific groups, investigating the whereabouts identification of missing persons, owners of government-vested properties or renounced properties, investigating the whereabouts of lost properties or stolen properties, investigating the causes of fire, character defamation, slander, damage, accident, physical disability, infringement on real estate or movable property, and investigating all sorts of accidents including traffic accidents, insurance accidents, and medical malpractices. In the qualifying examination, examinees' age should be restricted to be over age 25. The person, who is exempted from its primary examination, should be restricted to be the person, who has the career of over 20 years in related fields, in consideration of its equity with other certificates of qualification. In the supervisory institution, as the policy institution is the supervisory institution in many countries including France (the police) and Japan (public security committee), so the National Policy Agency should be the supervisory institution in consideration of management aspects. In the penal regulations, especially, we should clarify the management of personal information (personal information protection, personal information management), and so should prevent the infringement of people's basic rights, and then should ensure the public interest.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.1
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• pp.35-41
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• 2015

When a video surveillance system tracks a specific object, it is very important to get quickly the information of the object through fast image processing. Usually one camera surveillance system for tracking the object made results in various problems such like occlusion, image noise during the tracking process. It makes difficulties on image based moving object tracking. Therefore, to overcome the difficulties the multi video surveillance system which installed several camera within interested area and looking the same object from multi angles of view could be considered as a solution. If multi cameras are used for tracking object, it is capable of making a decision having high accuracy in more wide space. This paper proposes a method of recognizing and tracking a specific object like a car using the homography in which multi cameras are installed at the crossroad.

• Korean Institute of Interior Design Journal
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• v.24 no.3
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• pp.121-128
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• 2015

As a neighboring country belonged to the same cultural sphere with the Northeast Asia, China is recently emerging as a center of the world's economy. The social transformations caused by the rapid economic growth are bringing changes in the Chinese housing culture and thus, it is considered that the identification of a user's need concerning a new housing space and social and cultural understanding on China are necessary. Accordingly, this research intended to conduct the basic research on the Chinese housing space design by observing the small apartment users in Shanghai area in terms of not only the tangible element of the residential space type but also the intangible elements such as lifestyle, values, behaviors, etc. The research range was limited to the kitchen area at the center of a house as a place where the exchanges among the family members are most frequently occur, and the research was carried out in the following methods. First, the effective user research method for the analysis of the Chinese small apartment kitchen users was studied through the literature investigation. Second, the 6 families of a research target were selected focused on the small apartments in Shanghai, China and the user research was performed using three methods of User observation, Video ethnography, and Contextual inquiry. Third, the research results were analyzed focused on the flow of human traffic in the kitchen area and user's behaviors. What were identified as a result take account of the human traffic movements in the kitchen areas around the sink-counter-cook top, cooking behaviors and meal areas outside of the kitchen. Through this, the need for the effective organization of the sink-counter-cook top, arrangement of meal area, and placement of storage by section for the kitchen space of China were drawn based on the understanding of the cooking process, and it was identified that such results require comprehensive understanding of Chinese housing culture.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.8
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• pp.3567-3582
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• 2020

Human activities are often affected by weather conditions. Automatic weather recognition is meaningful to traffic alerting, driving assistance, and intelligent traffic. With the boost of deep learning and AI, deep convolutional neural networks (CNN) are utilized to identify weather situations. In this paper, a three-channel convolutional neural network (3C-CNN) model is proposed on the basis of ResNet50.The model extracts global weather features from the whole image through the ResNet50 branch, and extracts the sky and ground features from the top and bottom regions by two CNN5 branches. Then the global features and the local features are merged by the Concat function. Finally, the weather image is classified by Softmax classifier and the identification result is output. In addition, a medium-scale dataset containing 6,185 outdoor weather images named WeatherDataset-6 is established. 3C-CNN is used to train and test both on the Two-class Weather Images and WeatherDataset-6. The experimental results show that 3C-CNN achieves best on both datasets, with the average recognition accuracy up to 94.35% and 95.81% respectively, which is superior to other classic convolutional neural networks such as AlexNet, VGG16, and ResNet50. It is prospected that our method can also work well for images taken at night with further improvement.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.5
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• pp.440-451
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• 2013

Recently, researches of technology and standardization for maritime safety are proceeding internationally. In particular, some technologies and strategies for e-Navigation have been developed and the necessity of development of next generation VTS (Vessel Traffic Service) has been raised in Korea. In order to construct user oriented VTS system for domestic environment, VTS operators are asked for their requirements related to developing VTS and the opinions should be reflected in the VTS. So in this paper, we collect the requirements from fifteen VTS centers in the country and we also analyze them. Furthermore, we propose an ASM (Application Specific Messages) service, which was not supported by current VTS, and we verify the proposed ASM through AIS (Automatic Identification System) system and simulation terminal for maritime safety.

• Smart Structures and Systems
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• v.17 no.6
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• pp.1087-1105
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• 2016

Traffic load and volume is one of the most important physical quantities for bridge safety evaluation and maintenance strategies formulation. This paper aims to conduct the statistical analysis of traffic volume information and the multimodal modeling of gross vehicle weight (GVW) based on the monitoring data obtained from the weigh-in-motion (WIM) system instrumented on the arch Jiubao Bridge located in Hangzhou, China. A genetic algorithm (GA)-based mixture parameter estimation approach is developed for derivation of the unknown mixture parameters in mixed distribution models. The statistical analysis of one-year WIM data is firstly performed according to the vehicle type, single axle weight, and GVW. The probability density function (PDF) and cumulative distribution function (CDF) of the GVW data of selected vehicle types are then formulated by use of three kinds of finite mixed distributions (normal, lognormal and Weibull). The mixture parameters are determined by use of the proposed GA-based method. The results indicate that the stochastic properties of the GVW data acquired from the field-instrumented WIM sensors are effectively characterized by the method of finite mixture distributions in conjunction with the proposed GA-based mixture parameter identification algorithm. Moreover, it is revealed that the Weibull mixture distribution is relatively superior in modeling of the WIM data on the basis of the calculated Akaike's information criterion (AIC) values.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.1
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• pp.12-18
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• 2013

In 2012, Woosik Bae proposed a DAP3-RS(Design of Authentication Protocol for Privacy Protection in RFID Systems) using the hash function and AES(Advanced Encryption Standard) algorithm to hide Tag's identification and to generates variable data in every session. He argued that the DAP3-RS is safe from spoofing attack, replay attack, traffic analysis and etc. Also, the DAP3-RS resolved problem by fixed metaID of Hash-Lock protocol using AES algorithm. However, unlike his argue, attacker can pass authentication and traffic analysis using by same data and fixed hash value on the wireless. We proposed authentication protocol based on AES algorithm. Also, our protocol is secure and efficient in comparison with the DAP3-RS.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.10a
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• pp.62-63
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• 2009

A monitoring system of collision risk among multiple ships is newly-designed in order to reduce human error and make vessel traffic control more effective. By using AIS data as ships' navigational information, an estimation algorithm of collision risk among multiple ships is newly-designed. To consider ships' course of now and future, collision risks of multiple ships can be calculated by using fuzzy algorithm. To test the performance of new algorithm, replay simulations are carried out on actual AIS data collected from VTS center of Ulsan harbor in Korea. The AIS data include 25 ships' information for two hours. In this paper, the features of newly-designed estimation algorithm of collision risk and the results of replay simulation are discussed.

• Journal of IKEEE
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• v.23 no.2
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• pp.642-651
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• 2019

One of the most important research topics on intelligent transportation systems in recent years is detecting and recognizing a license plate. The license plate has a unique identification data on vehicle information. The existing vehicle traffic control system is based on a stop and uses a loop coil as a method of vehicle entrance/exit recognition. The method has the disadvantage of causing traffic jams and rising maintenance costs. We propose to exploit differential image of camera background instead of loop coil as an entrance/exit recognition method of vehicles. After entrance/exit recognition, we detect the candidate images of license plate using the morphological characteristics. The license plate can finally be detected using SVM(Support Vector Machine). Letter and numbers of the detected license plate are recognized using CNN(Convolutional Neural Network). The experimental results show that the proposed algorithm has a higher recognition rate than the existing license plate recognition algorithm.