The purpose of this study is to find the differences of introvert-extrovert trait on the degree of flow and participation mode at the on-line discussion. The data for this research was collected from the total of 40 learners. The research data is testified through ‘MANOVA method’. The results of this study were summarized as followed : Firstly, the learner's introvert-extrovert trait affects the learner's discussion flow degree. That is, the introvert trait was more effective than the extrovert trait in the discussion flow degree. Secondly, the learner's introvert-extrovert trait affects the learner's discussion positive participation degree. That is, the introvert trait was more effective than the extrovert trait in the discussion positive participation degree. lastly, the learner's introvert-extrovert trait affects the learner's discussion negative participation degree. That is, the extrovert trait was more effective than the introvert trait in the discussion negative participation degree. Based on these research results, it was suggested that introvert-extrovert trait should be utilized in order to improve the discussion flow and participation on the on-line discussion.
ITIL, formerly known as the Information Technology Infrastructure Library, is a set of practices for IT service management (ITSM) that focuses on aligning IT services with the needs of business. Recently, ERP(Enterprise Resource Planning) system has received biggest attention from local corporations as a management innovation tool of enterprise. However, companies are rebuilding the ERP system for management innovation as the increasing complexity of information systems. We suggest the check items of package information system according to the needs of recent operation audits. In this paper, we analyzed the system operation and maintenance guidelines of the NIA(National Information Society Agency) and COBIT in the operating environment based on ITIL(IT Infrastructure Library), and proposed the check items required for the operation audits. In addition, we was categorized the check items as continuous service improvement, service strategy, service design, service transition, and service operations for the ITIL service life cycle. Moreover, the proposed check items were verified for its suitability by the professionals’survey.
Association rule mining is one of the most popular data mining techniques, and its aim is to extract the association rules, the cause-and-effect relations between the items, from the given transaction data. Several algorithms such as apriori and its variants have been developed in order to extract the association rules in efficient way, however, they often produce the plethora of the association rules that is difficult for the analyzers to interpret and exploit. To address this issue, this paper aims to propose a visualization method called structured association map. The structured association map is a variant of the well known cluster hear map, and it focuses on ordering the items in more meaningful way. The structured association map and the cluster heat map have in common that the dendrogram obtained by hierarchical clustering is appended to the matrix for data visualization and the items are ordered according to the dendrogram. On the contrary, the primary difference between the two visualization methods lies in the way the hierarchy of the column items is generated. In structured association map, the row items are ordered at first and their order is considered in ordering the column items, while the row items and column items of the cluster heat map are ordered in similar manner. Consequently, the structured association map can represent both antecedents and consequents of the association rules in more effective way, and it is expected to help the analyzers to understand the structure of the extracted association rules more conveniently.
This study is intend to examine how the consumers' purchase intention on online music source which are the representative goods of the music industry is influenced according to the involvement and affect intensity. The music industry has emerged that several problems during the growing online music source center. Especially the change of the purchase intention following the plagiarism suspicion of the music goods to buy was measured intensively. For this propose, this study set consumer characteristics like the involvement and affect intensity were independent variable, purchase intention was dependent variable. In addition, it set flow to music was mediating variable and plagiarism suspicion was moderating variable to measure. As a result, higher level of the involvement, higher level of flow to the music. Affect intensity hypotheses is not valued. The plagiarism suspicion appeared to have the moderating effect to the flow and purchase intention(involvement → flow → purchase intention). The standard and tool to apprehend how the music goods purchase intention changes and to judge exactly whether they were plagiarized for the development of the music industry should be arranged through this study result.
Demands for applications using sensor information have been increasing due to development Internet of Things technology, and necessity for setting sensors onto atmosphere, soil, ocean, forest and our living environment and organically collecting information also has been increasing. Data collected by sensors should be reliable to be used as a real data. Current researches usually focused on miniaturization of embedded device and increment of low voltage ADC. There has been little research about improving reliability of transformed data. In real field small embedded boards have a problem that sensor input data is not balanced during network connection or overloading motion. Battery voltages of 3V were measured through 2 ways and compared each other. As a result of the voltage measurement using Arduino’s ADC, accurate voltage measurement was possible only when maintains at 5V. We also used WiFi to observe how much is the network load effect in small scale embedded board. Voltages were measured at the stage of connection and disconnection and we found voltage is not stable network and several loading condition. When voltage of 3V battery was measured using LTC2400 ADC module with regulator, we could observe exact battery voltage when applied was 4.096V or more which is input range of regulator. This paper proposed and confirmed a method in which regulator was used for accurate data collection of sensors. This method can make voltage in ADC stable, which would be a basic technology for the stabilization of data collection by sensors.
The imprecise computation technique prevents timing faults and achieves graceful degradation by making sure that an approximate result of an acceptable quality is available to the user whenever the exact result of the desired quality cannot be obtained in time. In the imprecise scheduling, NORA algorithm can find a schedule with the minimum total error for a task system consisting solely of on-line tasks that are ready upon arrival. But the NORA algorithm has low schedulability problem. Then, DOP algorithm delays the optional parts of the earliest deadline tasks as many as possible but the algorithm is almost similar to SMF(Schedule Mandatory First) algorithm. Next, DMO algorithm showing similar total error and schedulability to DOP algorithm preserving deadline order of tasks is proposed. To improve schedulability of DMO algorithm, this paper proposes a new algorithm which delays the optional parts of the earliest deadline tasks as many as possible. The proposed algorithm showes higher schedulability and similar total error than DMO algorithm.
Importance of V2V technology has been increasing as a manner of information exchange between cars. V2V shares information about position and velocity of cars nearby and includes techniques for preventing cars from sudden accident. Lately, V2I field has been spotlighted as an infra between cars. Accordingly, safe traffic system is required to be implemented through network system building of infra between cars. Role of network system between infra became important as an effective safety system using infra information for vehicle is getting more required. Especially, to satisfy a demand of traffic information system with high safety preparing for aging population, it is important to develop an far data transfer algorithm of network connection system. To provide a safety, information should be offered during driving by detecting an environment of lanes, surrounding vehicles and pedestrians so that environment recognition and decision are controlled. However, the implementation has a problem that there is no algorithm based on far network connection for building the infra. To solve the problem, this paper constructed far network system based on Arduino framework to build V2I network based technology. Arduino framework and Xbee network techniques were applied to propose an algorithm available for far network connection. The system would be the base technique for V2I network. Our algorithm is a technique for detecting surrounding conditions. We provide an effective algorithm for researching far network connection mechanism and build the system to increase data stability derived from the far network connection.
In general an Android application based on Java operates on DALVIK virtual machine. It is safe that an application operates on a virtual machine which means it is platform-independent. However, to be operated on a virtual machine, it takes some time for the program codes to be converted. This is slower than an operation of native codes like C because the codes are translated to machine language, which means it is platform-dependent. Also, it is restricted to access a hardware directly on a virtual machine. Many programs have been developed based on C/C++. We might save time and cost for development if we can reuse these programs without re-developing for other programming languages. On this paper, we explain how to operate a code based on C/C++ using JNI (Java Native Interface). Starting with how to call C/C++ native functions from Java classes, we introduce how codes developed with two different programming languages communicate each other. Also, we introduce a specific case using native codes on Android as an example.
Tactile feedback is useful especially when the user’s auditory and visual modalities are occupied or limited due to social and environmental factors. Recently, we need for more effective notification system as the increase of using high-performance mobile devices and the era of ubiquitous make users obtain massive information from any situation. It is important to analyze user contexts to find factors from the information influenced user’s behaviors and experiences because of various situations and wide range of data in using mobile devices. In this study, to guide the effective use of tactile feedback in the using contexts of a hand-held device, the sensitivity of tactile feedback by measuring the sensitivity of the information by way of the number of vibrotactile signals (numerosity judgement) was compared in the using four experimental contexts divided into the stability of physical movement (standing or walking) and attentional conditions (concentration or distraction). As the results, the accuracy of numerosity judgment decreased in the conditions of physical movement (walking) and distraction. In the hand-held devices, the sensory, perceptual, and cognitive features could be change because of various situations when people hold a device unstably in their hand. Therefore the results of the present study helps us understand the difference in the characteristics of tactile feedback for enhancing the user experience.
This paper proposed a systolic array architecture for computing image preprocessing. It is very difficult to be processed images to real time because of operations of local operators. Local operators for computing image preprocessing are used in many image processing tasks, involve replacing each pixel in an image with a valve computed within a local neighborhood of that pixel. Computing such operators at the video rate requires a computing power which is not provided with software method by conventional computer. In this paper, we improved these problem by using systolic arrays. Once the data has been fetched from memory, it was used a lot of times in inside computer system. As a result, image data fetched from memory were used in each cell in CPU many times before it was return to main memory. There, we were able to obtain high throughput with the usual memory bandwidth. A architecture for processing of image preprocessing consisted of one dimensional systolic arrays. A cell has three mask value for image preprocessing. Each cell is executed in parallel at the same time. We had simulated its architecture, and not only achieve good results but also reduce processing time.
Recently IT fusion technologies have been developed for efficient consumption of energy. The development of these technologies makes the synergy of IT technology and traditional technology. Smart home services contribute to not only saving energy but also controlling energy consumption, monitoring of user-centric, integrated control system that combines renewable energy and technology. This technology is expected to an essential fact to each home for satisfying the quality of life and convenience to the users. In this research paper, we apply solar power generation to offer smart home services which makes users a high quality of life and ease. The data obtained by solar energy facilities makes user to monitor produced energy, electricity power status and equipment status. So that you can determine the rates calculated through the use of power. These informations visualize the benefits that can be obtained from the solar power plant and establish indicators for power usage of user-centered information. Also by constructing a framework which is not dependent on the platform and language data, makes a variety of service applications. In this paper, we provide information to the user by implementing applications using smartphone. Integrated system designed to manage a large number of home power systems, the central monitoring center is capable of handling bulk services. Integrated system designed to manage a large number of home power systems, the central monitoring center is capable of handling bulk services.
Because of needs for "quality of life" results from the improvement of income level, food material accident and the occurrence of AI, the interest and anxiety about food safety has increased. Advanced nations has used utilities for food safety and Korea has used variety of practices for example agricultural products traceability, GAP(Good Agricultural Practices) and HACCP(Hazard Analysis and Critical Control Point). But, Information sharing should not be between the various systems and information severance which generated in course of agricultural distribution. So, there are loopholes in quality control because of this problem. Effort to resolve this problem is required. In this paper, agricultural products management system(APMS) is designed and implemented. APMS was designed for integrally manage of variety of practices. This system suggested integral manage code, used Iot(Internet-of-Things) technology and RFID. This system can be integrally manage the entire agricultural distribution processes by collection and managing information. The cultivate information such as real-time cultivation environment of agricultural products are generated in the production stage and the surrounding environment information such as the packaging information, temperature and humidity are generated in the distribution stage. Through the system, the reliability of the agricultural distribution process and the realization of safer food culture can be expected.