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Background/Objectives: Recently, as the usability of IoT devices increases, the kinds of information processed by IoT devices are also diversifying. For this reason, research to ensure the high-speed processing and integrity of information generated from IoT devices continues steadily. In particular, research using various hash techniques is actively underway to minimize IoT information errors. Methods/Statistical analysis: In this paper, instead of sending IoT information directly to the server (data center), we propose an AIoT technique that allows AIoT to pre-analyze and delivers only important information. Findings: The proposed technique allows easy control of IoT information operation after analyzing patterns of information collected from IoT devices to extract and analyze large amounts of IoT information. Furthermore, the proposed technique minimizes network delay as well as minimizes server (data center) processing and analysis time by reducing network traffic that can occur when information collected from numerous IoT devices is delivered to the server (data center). Improvements/Applications: AIoT, IoT information, Extract and Analysis, Artificial, Depp Learning, hash techniques Performance evaluation compared the storage efficiency of servers and the number of transactions of IoT information sent and received per second between IoT devices and AIoT devices while varying the hash length of IoT information from 16 bits to 128 bits.

Background/Objectives: This study analyzes the equity of the per capita investment scale of students in Korea. Methods/Statistical analysis: This study compares and analyzes the equity of the per capita investment of students, the per capita labor cost investment of students and the per capita facility investment of students. In addition, this paper analyzes the changes of students' per capita investment in each year (2011-2014), and evaluates the fairness of students' per capita labor cost and facility cost investment. Findings: The results of this study are as follows. First, on the whole, the per capita investment of students in the city, the road and the land department is relatively fair. The per capita investment of students in different regions of the Municipal Department of education was unequal from 2012 to 2014. Second, according to different regions, the fairness of investment in labor cost and facility cost per student is different. It can be seen that the investment amount of labor cost per student is fair among city, road and land departments. From 2011 to 2014, the labor cost per capita of Gini city showed a rising trend. Third, according to the different districts of the city and the road Education Department, there are differences in the investment amount of labor cost per student and the investment amount of facility cost per student. From 2011 to 2013, Busan city has the largest per capita investment, and Seoul special city has the lowest. Improvements/Applications: After the diagnosis of the fairness of the current investment amount of students among regions, the reasonable improvement plan of education finance is provided to the relatively low areas, and the direction of the distribution and development of student education finance in the future is put forward.

Background/Objectives: In this study will explore the impact of quantified-self awareness on consumer information sharing behavior in the mobile social network environment. Methods/Statistical analysis: In this study will confirm the impact of consumers’ quantified-self awareness on their information sharing behavior in the mobile social network environment through experimental research and questionnaire survey. Findings: Based on the theory of self discrepancy and through literature review, this study believes that consumers sense the difference between realistic self and ideal self, society realistic self and society ideal self will make them produce quantified-self awareness and willing to share information. To a certain extent, this study enriches the research on the influencing factors of consumers information sharing behavior. It is of certain significance for enterprises to improve consumers’ quantified-self awareness and carry out marketing activities. Improvements/Applications: In the mobile social network, consumers’ quantified-self awareness is gradually popularized and strengthened. It is of certain significance to explore how quantified self awareness can produce information sharing behavior for consumers.

Background/Objectives: Over the past few years, sustainable supply chain management (SSCM) has received significant attention and there is a growing expectation to extend sustainability efforts beyond internal operations to suppliers and customers in the supply chain. This paper examines the impact of supplier orientation in supply chain management by using knowledge management as a component of sustainable supply chain management. Methods/Statistical analysis: In this study, a survey was conducted, and analysis was performed using SPSS and PLS 2.0 as statistical tools. Findings: The research results showed that knowledge storage had a certain impact on supplier orientation in sustainable supply chains. Knowledge storage of the enterprises can be regarded as part of the information technology application. Improvements/Applications: There is a need to provide detailed statistics and analysis on the ownership, industry and scale of the enterprises among the research objects, thus providing more or different levels of understanding.