Recently software security of the smart phone is an important issue in the field of information science and technology due to fast propagation of smart technology in our life. The smart phone as the security critical systems which are utilizing in terminal systems of the banking, ubiquitous home management, airline passengers screening, and so on are related to the risk of costs, risk of loss, risk of availability, and risk by usage. For the security issues, software hazard analysis of smart phone is the key approaching method by use of observed failures. In this paper, we propose an efficient integrative framework for software security analysis of the smart phone using Fault Tree Analysis (FTA) and Failure Mode Effect Analysis (FMEA) to gain a convergence security and reliability analysis technique on hand handle devices. And we discuss about that if a failure mode effect analysis performs simpler, not only for improving security but also reducing failure effects on this smart device, the proposed integrative framework is a key solution.

The present concept of u-Healthcare is based on treatment and recuperation and in the future it will become specialized as wellness based on prevention. It is predicted that wellness care among others will develop to become the key field of u-Healthcare. For this reason in this research, ubiquitous technology was grafted to the passometer (P-meter) which is frequently used for monitoring during existing walking exercises. Emerging from the existing method of the P-meter which simply calculates the amount of exercise by counting the number of steps taken, using the GPS incoming data, the distance and speed of the location changes is calculated and the acceleration sensor will reflect the steps and intensity of movement to measure the walking activity amount to realize a smart walker system which will help the maintenance and promotion of modernists health.In this paper, we propose an integrative remote monitoring system for measuring walking activities under ubiquitous healthcare environment considering walking effects in healthcare of human life through the calculation of the distance of location changes and speed using GPS reception data and reflecting the steps and intensity of movement using the acceleration sensor.

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Research on the design of an expert system to diagnose Mathematics Teaching Efficacy Beliefs (MTEB) using the Certainty Factor method was the first to be developed. The MTEB instrument was first initiated by Enoch and transformed into an expert system application using the paradigm of modified waterfall software development to sequential or sequential testing steps, ranging from analysis, design, coding, and testing. Data calculation and analysis using the certainty factor method assumes the user's choice is not exact and is at a certain interval. The weighting of expert values from MTEB items is carried out by two experts in the field of mathematics education.  Meanwhile, the weight of user consultation uses five approval options, namely strongly agree, agree, simply agree, disagree, and disagree, successively represented by -0.2, -0.1, 0, 0.1, and 0.2. The results of the study gave success to each page of the diagnosis application, and the accuracy rate of the MTEB diagnosis was about 98%. The implication of this research is recommendations for related stakeholders to be followed up so that the MTEB of mathematics teachers becomes even better.