• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.19 no.4
• /
• pp.397-403
• /
• 2008

In this paper, the mixer was implemented in the non-radiative dielectric waveguide that is the main component of 60 GHz band radio telecommunications equipment which a demand increases for the purpose of point-to-point communication network. As to the manufacture of the non-radiative dielectric waveguide mixer, it was the implementation of the dielectric line combiner to be most difficult. The thing which that gives shape to the curvature which is the dielectric line determined and the to place in the exact interval thing are easy. For this reason, it was very difficult to make in order to have the regular performance in the case of the mixer having the dielectric line combiner. In this paper, since the dielectric line combiner was replaced with the waveguide directional coupler and the manufacture was possible through a processing it had the characteristic that a combiner is fixed. In result, the productivity of a mixer was innovatively improved. The design frequency of the mixer implemented through this paper RF and LO are $51{\sim}64\;GHz$. IF Is $DC{\sim}\;GHz2$. The down conversion loss toward the RF input of $60{\sim}62\;GHz$ was measured by $10{\pm}1\;dB$ in the condition that LO is 10 dBm, 60 GHz.

• The KIPS Transactions:PartC
• /
• v.14C no.6
• /
• pp.537-544
• /
• 2007

A home network is a residential local area network in which digital home appliances are connected with each other. Applying the mobile agent technology to the home network is expected to provide a new computing model. In particular, mobility and asynchronous ability of mobile agent can be used to reduce network traffic generated for managing home appliances. However, in order to apply the mobile agent concept to the home network, access control for mobile agents is necessary. In the existing home network system, there is one special server, sometimes called home server This server generally has mapping tables to be updated periodically, which describes access control lists between users' authorities and corresponding devices. In this paper, we propose a role-based access control framework with mobile agents in home networks. This framework, called Secure KAgent framework, is designed and implemented based on KAgent system. It has two main characteristics: to control access permissions based on Role-Based Access Control(RBAC) scheme and to safety assign roles to mobile agents by role tickets.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.28 no.5
• /
• pp.1079-1087
• /
• 2018

Binary scalar multiplication which is the main operation of elliptic curve cryptography is vulnerable to the side-channel analysis. Especially, it is vulnerable to the side-channel analysis which uses power consumption and electromagnetic emission patterns. Thus, various countermeasures have been studied. However, they have focused on eliminating patterns of data dependent branches, statistical characteristic according to intermediate values, or the interrelationships between data. No countermeasure have been taken into account for the secure design of the key bit check phase, although the secret scalar bits are directly loaded during that phase. Therefore, in this paper, we demonstrate that we can extract secret scalar bits with 100% success rate using a single power or a single electromagnetic trace by performing key bit-dependent attack on hardware implementation of binary scalar multiplication algorithm. Experiments are focused on the $Montgomery-L{\acute{o}}pez-Dahab$ ladder algorithm protected by scalar randomization. Our attack does not require sophisticated pre-processing and can defeat existing countermeasures using a single-trace. As a result, we propose a countermeasure and suggest that it should be applied.

• Journal of Animal Science and Technology
• /
• v.44 no.1
• /
• pp.75-86
• /
• 2002

Adequate forage amounts in ruminant animal are necessary for proper ruminal function in dairy cow. This study was carried out to determine the effect of total mixed fermentation feeds made by different green forage crops and grain processings on chemical compositions, RFV (relative feed value) and ruminal characteristics in sheep. The experiment was arranged in a split plot design with 4 replications. The main plot consisted of 6 kinds of green forages (corn, grass, rye, rape, alfalfa and oat) and the sub plots three different grain processings such as non-milling, half milling (7mm mesh over), and regular milling (7mm mesh below). And the different TMFFs (total mixed fermentation feeds) were analyzed for chemical composition and fed to 8 ruminally fistulated sheep for ruminal charactics and palatability. RFV, daily feed intake, acetate/propionate ratio of the rape-TMFFs were higher compared with the other treatment. Ruminal content of VFA (volatile fatty acid) of corn-TMFF was highest as 90.19 mmol% and pH of the feed was lowest as 3.82. But, acetic acid, propionic acid and butyric acid were no difference among treatments. In conclusion, the effect of grain proceeding was not appeared but if consider of only RFV, palatability and dry matter disappearance, grade of TMFF was improved in order of rape-, corn-, alfalfa-, grass-, oat- and rye-TMFF.

• The KIPS Transactions:PartB
• /
• v.9B no.4
• /
• pp.399-406
• /
• 2002

The goal of this research has been to develop an adaptive user agent for web surfing. To achieve this goal, the research has concentrated on three issues: collection of user data, construction and improvement of user profile, and adaptation by applying the user profile. The main outcome from the research is a prototype system that provides the functional definition and componential design scheme for an adaptive user agent for the web environment. Internally, the system achieves its operational goal from the cooperation of two independent agents. They are IIA (Interactive Interface Agent) and UPA (User Profiling Agent). As a tool for providing a user-friendly interface environment, the IIA employs the Keyword Index, which is a list of index terms of a webpage as well as a keyword menu for subsequent queries, and the Suggest Link, which is a hierarchical list of URLs showing the past browsing procedure of the user. The UPA reflects in the User Profile, both the static and the dynamic information obtained from the user's browsing behavior. In particular, a user's interests are represented in the form of Interest Vectors which, based on the similarity of the vectors, is subject to update and creation, thus dynamically profiling the user's ever-shifting interests.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.9 no.3
• /
• pp.25-35
• /
• 2006

Standardization or standard-related study are regarded as main issues in GIS applications. Though several GIS standards and specifications have been released, there are a few actual application cases adapting those. In this study, we designed and implemented a geo-spatial information processing system with editing, storing, and disseminating functions, in which standard GIS transportation data model by TTA linked with OGC-GML, XML-based geographic features encoding standard. The system developed in this study enables us to transfer and edit transportation entities based on TTA standards to GML, importing ESRI shapefile. In web-based system, GML-based databases are transformed to SVG file, for the purpose of web publishing. TTA GIS transportation data model is used in this study, and tested; however, standard data models from other application fields also can be easily applied because this system basically provides data importing and editing functions. This system as practical tools can be utilized for applicability test of GIS standard data model and practical operation of standard specification.

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

• The KIPS Transactions:PartD
• /
• v.10D no.1
• /
• pp.1-12
• /
• 2003

Recently, there have been many indexing schemes for multimedia data such as image, video data. But recent database applications, for example data mining and multimedia database, are required to support multi-user environment. In order for indexing schemes to be useful in multi-user environment, a concurrency control algorithm is required to handle it. So we propose a concurrency control algorithm that can be applied to CBF (cell-based filtering method), which uses the signature of the cell for alleviating the dimensional curse problem. In addition, we extend the SHORE storage system of Wisconsin university in order to handle high-dimensional data. This extended SHORE storage system provides conventional storage manager functions, guarantees the integrity of high-dimensional data and is flexible to the large scale of feature vectors for preventing the usage of large main memory. Finally, we implement the web-based image retrieval system by using the extended SHORE storage system. The key feature of this system is platform-independent access to the high-dimensional data as well as functionality of efficient content-based queries. Lastly. We evaluate an average response time of point query, range query and k-nearest query in terms of the number of threads.

• Journal of Distribution Science
• /
• v.14 no.3
• /
• pp.85-91
• /
• 2016

Purpose - Prior research has suggested that consumers typically prefer to have a larger number of options. However, preference of assortment size may depend on how depleted resources in consumers' mind are. Reduced capacity for self-regulation by resource depletion makes people rely on more intuitive and less effortful decision processing. When they are mentally depleted, people are likely to focus on the choice difficulty from large assortment, which leads to preference for the small assortment when they make a decision. It could be an important question potentially how being in a depleted mode through effortful self-regulation will influence on the evaluation of assortment size. To answer this questioner, we hypothesized that being engaged in self-regulation, as compared with not being engaged in self-regulation, will influence on the evaluation of product assortment size such as attractiveness, difficulty of choice, and anticipated regret. Research design, data, and methodology - In this study, we first manipulated self-regulatory resource availability using a self-regulation task (i.e., instructing participants to solve Sudoku puzzle vs. to solve diagram cube by filling any diagrams that they prefer into cube instead of number) and asked to indicate the difficulty of the tasks available to them ("How much difficulty did you feel when you complete the task?") Next, participants were asked to imagine that they were planning to buy a laptop at one of the two stores (small assortment: 6 options vs. large assortment: 30 options), both offering good quality of products. After reading the product descriptions, participants were instructed to consider all the information and choose a store that they would like to shop. Finally we measured the choice difficulty, evaluation of product assortments, and anticipated regret on a 7-point scale. We conducted two-way ANOVA in testing the main hypothesis that depleted consumers will show poorer subsequent self-control than non-depleted consumers when they make a decision in large assortment. Results - Compared with non-depleted participants, depleted participants showed the bigger difference from the degree of choice difficulty and product attractiveness between large and small assortments, but the result revealed only a significant interaction effect of resource depletion and assortment size on choice difficulty. Also depleted participants showed the smaller difference from the degree of anticipated regret between large and small assortments than non-depleted participants. Conclusion - Depleted individuals by a prior task are relatively effortless and intuitive form of choosing products so that they try to avoid making effortful trade-offs among choice difficulty such as large assortment, compare with non-depleted individuals. However, for anticipated regret, non-depleted individuals in small assortment anticipate more regret by excluding or at least restricting the possibility of buying attractive items or another kind of potential items than depleted individuals, regardless less choice difficulty in small option. To sum up, it is important to note that individuals are influenced by self-regulatory resources and their self-regulatory conditions contribute to the overall positive or negative impact of product assortment on choice.

• Journal of Digital Convergence
• /
• v.10 no.11
• /
• pp.427-432
• /
• 2012

The article herein suggested a compound repository and a descriptive method to develop a compound knowledge process. A data target saved in a compound knowledge repository suggested in this article includes all compound knowledge meta data and digital resources, which can be divided into the three following factors according to the purpose: user roles, functional elements, and service ranges. The three factors are basic components to describe abstract models of repository. In this article, meta data of compound knowledge are defined by being classified into the two factors. A component stands for the property about a main agent, activity unit or resource that use and create knowledge, and a context presents the context in which knowledge object are included. An agent of the compound knowledge process performs classification, registration, and pattern information management of composite knowledge, and serves as data flow and processing between compound knowledge repository and user. The agent of the compound knowledge process consists of the following functions: warning to inform data search and extraction, data collection and output for data exchange in an distributed environment, storage and registration for data, request and transmission to call for physical material wanted after search of meta data. In this article, the construction of a compound knowledge repository for recommendation system to be developed can serve a role to enhance learning productivity through real-time visualization of timely knowledge by presenting well-put various contents to users in the field of industry to occur work and learning at the same time.