Earticle

Background/Objectives: The wireless internet service, which has positioned as an important element to support all industries, can be connected to notebook computers and smartphones everywhere. Using wireless internet access increases, the risk of hacking also increases. Methods/Statistical analysis: There is information leakage accident by modulating DNS address of home router and hacking threats by using wireless router always exists Findings: In this paper, we search hacking techniques using vulnerabilities in wireless LAN, and analyze the need for security for wireless LANs through WEP encryption algorithms and improved encryption algorithms. Improvements/Applications: We also suggest countermeasures against hacking techniques such as DoS attacks, WEP Crack, and DNS Spoofing.

Background/Objectives: Information is crucial in present world; text is one form of information that is being exchanged in alarming rates. Natural language Processing is one field that concentrates on text analysis. Methods/Statistical analysis: Text Analyzers collects the word vectors and embed them into one by calculating semantics, and their relationships were considered on bases of dependencies and dependency trees which only targets subject to object relations and vice versa. In this digital era, microblogs involve more complicated text which are very hard using dependencies and relations to comprehend in bases of contextual semantics. Findings: In this paper we are addressing this problem by building a novel quantum enhanced modal. The proposed methodology exchange parameters between NLP algorithm and Quantum native optimizer allowing us to solve non-linear problems while composing the semantics. Improvements/Applications: We have integrated our methodology into a simple question and answering system for assessment, this system will give us the scores and answers build upon context already existing on the internet. In every Assessment Quantum Trained or Q-Trained algorithm exhibited promising results when compared with the best-in-class NLP algorithm ALBERT.

Background/Objectives: TODs can also have a direct impact on urban development and maintenance in station areas, from which point of view TODs can establish complex land use as a major means. The purpose of this is to set urban policy goals and present urban policy directions by classifying them into urban planning and transportation planning dimensions. Methods/Statistical analysis: In this paper, we are going to draw implications based on the analysis of domestic and overseas TOD application cases and qualitative characteristics in presenting urban policy directions through land use and public transportation elements, which are the main characteristics of TOD. Findings: Based on the results of the study, it was derived that the urban planning dimension requires longitudinal requirements to apply TOD through adjustment of the use area, and that the public transportation zone designation and traffic stabilization technique can be applied as a transportation demand management technique. Improvements/Applications: It is believed that further analytical research on the development and application effects of TOD-specific techniques will be required in the future.