• International Journal of Computer Science & Network Security
• /
• v.24 no.10
• /
• pp.115-124
• /
• 2024

In current day information transmitted from one place to another by using network communication technology. Due to such transmission of information, networking system required a high security environment. The main strategy to secure this environment is to correctly identify the packet and detect if the packet contain a malicious and any illegal activity happened in network environments. To accomplish this we use intrusion detection system (IDS). Intrusion detection is a security technology that design detects and automatically alert or notify to a responsible person. However, creating an efficient Intrusion Detection System face a number of challenges. These challenges are false detection and the data contain high number of features. Currently many researchers use machine learning techniques to overcome the limitation of intrusion detection and increase the efficiency of intrusion detection for correctly identify the packet either the packet is normal or malicious. Many machine-learning techniques use in intrusion detection. However, the question is which machine learning classifiers has been potentially to address intrusion detection issue in network security environment. Choosing the appropriate machine learning techniques required to improve the accuracy of intrusion detection system. In this work, three machine learning classifier are analyzed. Support vector Machine, Naïve Bayes Classifier and K-Nearest Neighbor classifiers. These algorithms tested using NSL KDD dataset by using the combination of Chi square and Extra Tree feature selection method and Python used to implement, analyze and evaluate the classifiers. Experimental result show that K-Nearest Neighbor classifiers outperform the method in categorizing the packet either is normal or malicious.

• Journal of Korea Planning Association
• /
• v.54 no.6
• /
• pp.27-42
• /
• 2019

The purpose of this study is to identify the spatial characteristics of the parcels in which building construction occurred. In recent, urban development patterns in Korea have been shifting from the past. Small-scale development at parcel level is becoming more important in accordance with individual location needs in the low-growth era unlike public lead large-scale urban development in the rapid growth period. Therefore, it is necessary to study the spatial characteristics of the parcels where small-scale development takes place for future urban development management. This study used the chi square independence test, t-test and ANOVA (analysis of variance) to identify the spatial characteristics. The results of the study show that there is a spatial characteristics difference not only between building construction and non-building construction parcels, but also by type of building construction. The parcel where the building construction occurred have a higher proportion in detached house, major commercial districts, district unit planning areas, and commercial areas. In addition, it is caused by parcels, which are large scale and economically valuable, and are influenced by traffic factors such as urban centers and subway accessibility. As a result of each type of building construction, the parcels where the building use change occurred have spatial characteristic difference compared to other building construction, while the spatial characteristics are similar between the new construction/extension and new construction/extension with change of use. Based on this results, it will be possible to identify areas with high demand for small-scale development in the future and to utilize them for planning management of urban development. Furthermore, it will be possible to manage development demand by type of building construction, and to prepare differentiated plans considering the appropriateness of development plan, availability of infrastructure, and harmony with surrounding environment.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.37 no.2
• /
• pp.77-84
• /
• 2014

The purpose of this research is to identify and develop technology protection plans for small and medium-sized enterprises (SMEs) by analyzing past technology leakage patterns which were experienced by SMEs. We identified factors which affect the technology leakage, and analyzed patterns of the influences using a data mining algorithms. A decision tree analysis showed several significant factors which lead to technology leakage, so we conclude that preemptive actions must be put in place for prevention. We expect that this research will contribute to determining the priority of activities necessary to prevent technology leakage accidents in Korean SMEs. We expect that this research will help SMEs to determine the priority of preemptive actions necessary to prevent technology leakage accidents within their respective companies.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
• /
• 2004.04a
• /
• pp.171-176
• /
• 2004

Image matching is fundamental process in photogrammetry and computer vision to identify and to measure corresponding features on the multiple images. Uniqueness of the matching entities and robustness of the algorithm are the key issues that have influence on quality of the matching result. The optimal solution could be obtained by utilizing appropriate matching entities in the first place. In this study, candidate matching points were extracted by interest operator, and an area-based matching method was applied with characteristics of the gray value distribution as the matching entities. The characteristic information is based on the concept of "intrinsic image" (or parameter image). The information was utilized as additional and/or complementary matching entities. Matching on interest points with the characteristic information resulted in high quality of matching because matching windows were created with surrounding pixels of the interest points that contain distinct and unique features. The experiment shows that matching quality and reliability increase by exploiting interest operator, and the characteristic information has potential to be matching entity.

• Proceeding of Spring/Autumn Annual Conference of KHA
• /
• 2006.11a
• /
• pp.144-148
• /
• 2006

Kitchen space is one of the most dangerous places for the elderly. Modification of kitchen space for improving safety and independence for older residents is very important factor for aging -in-place. The purpose of this study wes to identify the current situation and modification of kitchen space by elderly-headed household. The sample included 108 respondents over the age 65 who consisted of elderly-couple or single person household with homeownership in Seoul. The data were analyzed by descriptive statistics. Based on the findings of the study, the present incidence and recognition of future need in kitchen modification were identified. Changes in kitchen space made tended to be nonstructural or relatively inexpensive items. In conclusion, this study suggests several ideas for improving current physical problems of kitchen space to support daily living of older residents.

• Proceedings of the Computational Structural Engineering Institute Conference
• /
• 2005.04a
• /
• pp.464-470
• /
• 2005

The numerical analysis is carried out to identify the influence of design factors to shear capacity of cast-in-place (CIP) anchor in ACI 349 Code that is available for the design of fastening system at Nuclear Power Plant (NPP) in this study. The MASA program is used to develop the numerical analysis model and the developed numerical analysis model is verified on a basis of the various test data of CIP anchor. Both $l/d_o$ and $c_1/l$ we considered as design factors. As a result, the variation of $l/d_o$ has no influence on the shear capacity of CIP anchor but $c_1/l$ has a large influence on the shear capacity of CIP anchor, Therefore, it is proved that ACI 349 Code may give a non-conservative results compared with real shear capacity of CIP anchor according to $c_1/l$.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2015.11a
• /
• pp.156-157
• /
• 2015

The safety concern of slipping on floors in South Korea has come to the fore as a social problem, but the occurrence of such accidents has not decreased. Slip and fall accidents have several causes, but they are especially common when there is soapy water on the floor during a shower or a bath. Despite this situation, it can be said that there is a lack of standards on surface contamination materials used in floor slip resistance testing. Therefore, in this study, we conducted a survey to identify the components and quantity of soapy water that actually results from a user taking a shower, and the standardization of contamination materials. Based on the results of this experiment, we provide a surface contamination material that can replace the soapy water used in floor slip resistance testing.

• Journal of Information Technology Applications and Management
• /
• v.15 no.4
• /
• pp.103-121
• /
• 2008

Service Providers need to monitor the level of consumer's satisfaction on service they provide continuously and they use appropriate method to measure their operating status. They have to make a plan on their resource and infrastructure to provide their service in the right place at the right time whenever they need. Most previous studies on IT service quality are mainly focused on criteria or levels of quality measurement even though those criteria and levels should be set by considering consumer's needs. And considering for consumer's needs with managerial factors was not found on those studies. So, we suggest deducing quality factors for continuous improvement of IT service management system in this paper as identify the relative priority using QFD method which consider consumers' voices and managerial factors when decide quality factors of IT service management system introduced SLA. We also confirm that our suggestion is practicable and applicable for current operation by case study.

• Research in Mathematical Education
• /
• v.12 no.4
• /
• pp.293-299
• /
• 2008

Young children have manifold potentialities. As any teacher or parent knows, a child's most obvious strengths contribute to their development in unexpected ways. A sporting or musical forte may provide an invaluable youthful opportunity to experience "the pursuit of excellence," but may then be laid aside. It is exceedingly rare for a strength which informed observers might "identify" at school level to develop in a predictable way. Most strengths blossom and are then laid aside, whilst some evolve sideways (for example, when the inner muse shies away from the required level of commitment, or takes fright at the miniscule prospects of success in the given field). In their place other strengths-which one may have noticed, but which were never "diagnosed" in the same way-take over and flourish.

• Korean Management Science Review
• /
• v.15 no.2
• /
• pp.161-175
• /
• 1998

As organizations have come to be more complex and diverse, management has come to spend an increasing proportion of its time and efforts in handling organization conflict. Moreover, organizational conflict problems are often not recognized until the balance of interests is destroyed or a radical organizational change such as BPR takes place. Once an organizational conflict arises, however, it reduces corporate synergy seriously, leading to organizational ineffectiveness. Therefore, it is important to identify the cause of organizational conflict in advance and resolve it based on the proper diagnosis as early as possible lest it should undermine the organizational effectiveness. We propose a method that facilitates diagnosing potential organizational conflict and determining appropriate strategy to the conflict, based on the analysis of cognitive maps. To support the application of the method in the real world context, a computerized tool is introduced. The working procedures of the method and the features of the tool are illustrated with their application to the real case of the cable TV home shopping company.