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Recently there is a growing demand for a system that allows users to go online and work at anytime anywhere, as the smart phone is widely distributed and the technology is developing. In line with such a trend, this thesis has desinged a system using a display with OS and wireless network to help check and manage facilities of various industries as well as producing and delivering various contents. The system is based on the Internet of Things which supports the function of inspecting and maintaining facilities while providing various contents on display devices. This also receives from a service provider and displays advertisement contents real time. Therefore in short, the system manages facilities of a building including cleaning service management and displays various contents.

In Distributed systems, the users with a certain set of attributes can only be able to access the data. At present this process can be done through a trusted server where we will store the data and there will be certain constraints on the access of the data. In this case there will be a possibility to compromise the data and so the confidentiality of the data is lost. An Attribute-Based Encryption (ABE) is an encryption scheme, where users with some attributes can decrypt ciphertexts associated with these attributes. Now this is our turn to develop a system with a more complex policy of access of the encrypted data and which can be called as Ciphertext Policy Attribute-based Encryption (CP-ABE). By using this method the information can't be traded off even through the trusted server where the information is put away. These methods are also secure against the collusion attack. In this method attributes are generally assigned in the form of access trees. The attributes are placed at the leaf nodes of this access tree. In older Attribute-based encryption strategies encrypted data is described by the attributes and policies are given to the user’s keys, while in our system users credentials are described by the attributes and there will be a policy where it tells us about who should access or decrypt the data. So, this type of access method is very much closer to the Role-based attribute-based encryption.

From a design perspective, there are two ways in robot design approach: biologically inspired and functionally designed. It has been proved that the two robot design types could be perceived differently by the cultural background. This study explored the impact of robot design types in Korean and Japanese culture on product evaluation, product usefulness, and purchase intention. We conducted an experiment comparing a group of functionally designed robots having single functions each and a biologically inspired robot having multifarious functions itself. The results showed that Korean participants evaluated the functionally designed robot more positively than the biologically inspired robot on product evaluation and product usefulness whereas the evaluation was more positive toward the biologically inspired robot than the functionally designed robot for Japanese participants. While Korean participants were willing to purchase the functionally designed robot as they perceived it positively and useful than the biologically inspired robot, Japanese participants showed no significant difference on purchase intention by robot design types. These results suggested that robot designers should consider not only the robot design types but also the cultural differences for making better customer acceptance. The implication for the effective robot design approach is discussed according to the cultural differences.

In recent years, the use of cloud services has been significantly expanded. The providers of software as a service employ multi-tenant architectures to deliver services to their users. In these multi-tenant applications the resource allocation would suffer from over-utilization or under-utilization issues. Considering the significant effects of resource allocation on the service performance and cost, in this paper we have proposed an approach based on genetic algorithm for resource allocation which guarantees service quality through providing adequate resources. The proposed approach also improves system performance, meets the requirements of users and provides maximum resource efficiency. Simulation results show that the proposed approach has better response rate and availability comparing to other approaches, while provides an efficient resource usage.

Due to the recent development of smart phone, SNS has been rapidly increasing causing the amount of data from IOT explosively to be grown. Hereupon, personal information leakage has become a serious issue, and de-identification has been applied according to personal information protection guideline. However, most of the files attached on the board have not been de-identified. It is not possible to predict how data of a certain person are to be used at where. In addition, the process is much complicated and frequent that it is still not possible to prove the usage of personal information from the result of analysis even if data of a certain person are used. Hereupon, there has been an increasing fear on information holders due to the possibility of information leakage. In order to identify the risk of sensitive personal information leakage, this paper is intended to collect data from websites of domestic education institutions and government organizations, analyze how much de-identification plans for guaranteeing safety of individuals is correctly applied, and reveal the risk from sensitive personal information leakage.

Programming Fault forecast has turned out to be most essential in programming Development uncommonly in programming Testing. The exact extrapolation of issues in conundrum can help to patch test effort, which decreases expenses and repair the nature of programming. Issue forecast model utilizing object situated measurements for code, datasets as info qualities to anticipate the issue probability by Naïve Bayes Classifier and these mock-ups have been far and wide utilized for bunching and grouping likewise exceptionally flawless eccentric to Bayesian systems for expansive range likelihood evaluation, generally in shortcoming expectation. In this paper, Naive Bayes classifier has been actualized on different consistent datasets.

In this paper, we proposed a system to generate true-false questions using ready-made arrays instead of random functions in order to reduce the time to give true-false test set. The system consists of two phases: one is automatic question generation and the other is question selection for make question test. The first phase reads an informative sentence from a text input, and then makes false sentence using replacing keyword in the informative sentence by an antonym or adding a negative adverb to verb in the informative sentence. The second phase selects some sentences from both true sentences as the informative ones and false sentences from different informative ones, and then relocates the selected sentences using ready-made array instead of random function whenever applicant wants to take a test. The array contains fixed random numbers made by random function in advance, so the system can take random number from the array instead of generating new random number to reduce the time to take random number. Thus, the time to relocate true-false questions using the ready-made array is 1.77 times faster than one to relocate the same questions using random functions.

This paper introduces a design of our Smart Learning which is an application running on smartphones. Smart Learning is an open, location based, context aware, and video on demand (VOD) app for education. This app is open in that a user can upload the user's own educational contents. It uses the Global Positioning System (GPS) for outdoor positioning and smartphone sensors for indoor positioning. It also guesses the user's context with sensor values and information recorded in the smartphone. Once it determines the user's context, it displays a list of learning materials that seem to be most helpful to the user, and when the user selects one out of them it starts rendering the selected one. Another uniqueness of our design is that all the functions needed in implementing the app are published as web services so that other developers can easily reuse them. Nowadays, almost everybody has a smartphone and they always carry their smartphones. Therefore, they can learn something with Smart Learning whenever and wherever the user wants to.

In Today’s World, the usage of Web is increased in a very fast manner. The User who is surfing the Web always wants to extract the meaningful information from the resources. As the number of user increased, the Web is diffusing day-by- day. Due to this diffusion, there is enormous lacking in retrieving the relevant information. To overcome this, Semantic Web Technologies such as Resource Description Framework along with Document Object Model are used to bring the clear answers to user queries by taking advantage of the availability of precise semantics of information in the context of the search engines. The Resource Description Framework (RDF) is defined by the World Wide Web Consortium (W3C) which is one of the enrich entity which is mainly used to encode the meaning of the data.

This study analyzed the effects of consumer innovativeness and self-efficacy on different age groups’ acceptance and diffusion of innovative technology. For this purpose, we measured delivery application service users’ innovativeness and self-efficacy, and found each age group’s levels of satisfaction, intent to use again, and intent to recommend. We used this data to analyze the influence that these variables had on their satisfaction with innovative services, and the diffusion of such services. This study found that for people in their 20s and 30s, the interaction effect between consumer innovativeness and self-efficacy was not statistically significant, while for people in their 40s, there was a significant interaction effect. Higher consumer innovativeness was correlated with significantly higher satisfaction, intent to use again, and intent to recommend. Meanwhile, higher self-efficacy was correlated with innovative services’ acceptance and diffusion. Higher perceived self-efficacy for subjects in their 40s was correlated to significantly greater deviation. Additionally, a significant three-way interaction effect occurred between innovativeness, self-efficacy, and age group. An in-depth analysis and further research would be necessary to gain insight on why such deviations occurred.

The field that shows the most promise among the application areas of Big Data is the medical sector. We must first deal with the problems of the invasion of privacy and misuse of personal information before we can utilize personal health information. There is a method known as the de-identification of personal health information which is one of the methods that can be used to perform the tasks of the protection and the utilization of personal health information at the same time. De-identification refers to the process of making it impossible to know the identity of an individual just by the information that is revealed. The biggest problem related to de-identification is the phenomenon of re-identification. Even with information that at first cannot be used to readily identify an individual, when enough of it has accumulated in various categories, it may become possible to identify the hidden individual behind it. What makes de-identification difficult is that one cannot completely rule out the possibility of re-identification, and that the information becomes an object of much regulatory legislation if it is re-identified as personal information. Thus, it is a priority to reach an agreement among the many parties involved since we need to organize the data into categories that are actually used. This study seeks to analyze the current state of de-identification measures which are some of the protective measures for personal information for the safe utilization of Big Data in the medical sector, both in and out of Korea, and to propose implementation plans for safe de-identification. Furthermore, this study advocates an active consideration of the establishment of a "central tower" agency which will be able to carry out the much-needed continuous monitoring for re-identification as well as the assessment of the adequacy of the de-identification methods.

The aim of this study was to create augmented reality application that can display three-dimensional animated hand movements on a media card and implemented on the Android operating system. Modelling was begun with doing observation, in which the object of the observation was people who have a deficiency in hearing and speaking or often called deaf. The system made aimed at helping normal people in studying the letter cues when trying to communicate with the deaf. The results obtained is an application created with augmented reality and can be used by anyone having an Android-based smartphone that wants to recognize the letter cues by using letter card as the card marker. So that, when the camera is directed to the card compiled into a single word, the letter marker on the card will be detected by the application and will appear animated hand movement of each letter scanned by the camera in real-time. This is the purpose of the augmented reality on this letter recognition application, namely giving rise animation in real-time that can attract someone to study the letter cues.

This paper introduced formal method as a new method to evaluate the reliability of software that has been developed. By using a mathematical notation called formal specification, this evaluation method describes the characteristics and functions of system that includes software or hardware and proves what can be proved using a proving technique. It can give a clearer answer than other techniques because it guarantees completeness, correctness, and consistency, which are the general characteristics of math, and evaluates reliability by mathematical technique. Since it is difficult to express a mathematical notation in a UI, a framework was developed by using it to show the measured results on a screen like other general software. This framework was named FMTF (Formal Method Test Framework) and was made to test the program of general web development. For the performance experiment of FMTF system, the parallel test, loop test, conditional branch perform test, time control test, etc. of web program were experimented. According to the measurement result, the reliability was low in the beginning of project due to many factors such as analysis design but gradually improved by error correction and debugging. By suggesting a guide on how to correct what errors, the paper could also provide a method to improve reliability.

Business is an entity that produces big data nowadays. A business scope, for example, a company will divide its activities part into a new body which will be focused on another specific field. The implementation warehouse data in company with that criteria will be favorable for the party that makes a decision since they get brief data to ease decision making which is strategic for the enterprise. Demand for the vital information creates a problem when the company has no draft of how the company condition in the future specifically in implementation the Management of Information System that will be built. The solution given is by creating a Bottom-Up Bus Data Warehouse Architecture by applying dimension sharing concept which will integrate all data marts. In realizing that solution needs an application that has the main feature that integrating data mart and does (Online Analytical Processing) as presentation information media for the end user.

This research aims to investigate through causal relationship, how the hotel information system and hospital information system affect the strategy, employee satisfaction, work process, and results. This study aims to figure out how the service information system influences internal factors. Usually, hotels and hospitals represent the service industry. However, we believe that those two are actually quite distinct from each other. Therefore, we aim to differentiate both the hotel and hospital information system. As a result, the information system has positive influence on strategy, work process, and employee satisfaction both hotel and hospital industries. These results show that both the hospital and hotel information system contributes to the development of the hospitals and hotels with a positive effect on internal factors in Korea.

A low noise 6th-order elliptic low-pass filter is proposed and implemented. For the high level integration of multi-standard wireless terminal at low cost, the direct conversion architecture is favored for the RF transceiver, and a low noise channel selection filter with enough out-of-band suppression takes a critical role for the direct conversion receiver. For the noise optimized filter design, a noise analysis, design procedure and techniques are described for a biquad circuit and the 6th- order elliptic filter. The filter is implemented in a 0.35μm BiCMOS technology and has the 3dB cutoff frequency of 2.3MHz. The chip size is 1.0×1.15mm2. The measurement results show that the noise characteristics are optimized by proper allocation of the biquad circuit component values and biquad placement as proposed. And also, the filter shows good linearity. The filter consumes 3.8mA current at 1.8V supply and provides about 60dB stopband rejection, input referred noise of 27 .8 nV Hz and IIP3 of 22.4 dBm. The filter performance meets the WCDMA standard specification.