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Requirements modeling is an important activity in software engineering and is more basic than other activities. But for scale domain, Requirements modeling usually suffers from limited knowledge of developers. In order to get a complete requirements model, software engineers have used domain ontology to capture requirements. However, previous approaches only can automatically capture requirements and the final software system is difficult to maintain. In this paper, we decompose old domain ontology into some sub ontologies and organize them into a tree model, which is called as Ontology Tree. Accordingly, we generate requirements model from Ontology Tree rather than old ontology. From real application, our approach shows a better development and maintainability of software.

As the number of international marriages increased in Korea, there have been many new problems, such as the ones that are related to what the foreign immigrant wives go through as well as the problems that they experience as multicultural families. The ones that seem to stand out most are the foreign wives’ difficulty dealing with their children, the children’s inability to adapt to the society and the social discrimination that both the foreign wives and their children experience. Therefore, the purpose of this study is to find out how the children’s behavior affect the foreign wives’ quality of life, thereby attempting to provide basic data for developing new programs to help improve the foreign immigrant wives’ and their children’s quality of life. The participants were 323 foreign immigrant wives who are taking care of their own children, and some of the factors that may affect their quality of life were children’s health condition, wives’ degree of satisfaction on their children, themselves, and their relationship with their children. The higher their assessment on their children’s behavior, the better their overall quality of life. There needs to be a program development for diagnosing childcare problems, not just for the foreign wives but to educate both the foreign wives and their children as well. Not only will this help improve their overall relationship, but it will also increase the children’s self-esteem and pride of their mom.

For the tasks of different participants and requirements of resources information sharing needs of complex product project in the WBS decomposition process, as well as the problems of design, manufacture and the disconnect between tourism management information transfer, the thesis puts forward the formal method to the metadata by using ontology model and description logic. Through the interaction of formal metadata sharing of heterogeneous data through is realized. Taken large OKP enterprise as the object of study, firstly, the data model in material management are domain analyzed; providing effective carrier for the emerge of static data in the work breakdown process of complex product by constructing ontology, the thesis abstracts related concept class to construct domain ontology model. Then, carrying out the formalized description on material management domain ontology model combined with the description logic. Finally, combining typical complex manufacture of Marine product, carrying out the project modeling and decomposition from three levels, the concept, business domains, activity domain, reveal the relationship between task at all levels, suited to the characteristics of the complex product project WBS model is established. The experiment shows that the constructed ontology model can effectively solve the problem of enterprise heterogeneous data sharing. Model has a certain commonality and can be reused for other subject areas, providing an effective way for unambiguous sharing of the enterprise business information.

With respect to the two-sided matching problem, where the agents’ preferences are in the format of multi-granularity uncertain linguistic terms, a matching method is proposed. Some basic concepts and definitions on uncertain linguistic term and 2-tuple are firstly given. Based on this, the two-sided matching problem with multi-granularity uncertain linguistic terms is described. Then, multi-granularity uncertain linguistic term matrixes are transformed into multi-granularity 2-tuple matrixes. Furthermore, a multi-objective optimization model is developed by using the extended 2-tuple weighted average. By using the normalization method and the linear weighted method twice, the multi-objective optimization model can be converted into a single-objective optimization model. By solving the model, the matching alternative can be obtained. Example of matching demand and supply in agricultural knowledge illustrates the feasibility and effectiveness of this method.

This study seeks to analyze the correlation and influence on general mental health of childcare teachers according to their eating habits and impulsive aggressive tendency. For the study, self-filling questionnaire survey was conducted on childcare teachers working in kindergartens in U city from February 15th 2015 to June 20th 2015. For the data analysis, the SPSS WIN 18.0 program was used to conduct frequency analysis, correlation analysis, and linear regression analysis to verify at the significance level of 5%. The results first showed that the sub-factor of eating habit, fasting, has a positive correlation to mental health; on the contrary, the absorption in food, excessive eating, and aggressive characteristics showed not to be statistically significant. Second, the result of verifying the effect of eating habits and compulsive aggressive characteristics on general mental health showed that the socio-demographic characteristic, religion, and the sub-factor of eating habit, and fasting, showed to affect general mental health with statistical significance. The implications of this study are expected to become basic data to improve the eating habits and general mental health of childcare teachers.

Healthy assessment weights of using of modern electronic equipment is too subjective problem, it is proposed in this paper that is based on fuzzy analytic hierarchy process and the method based on the theory of the D-S evidence. In solid state transmitter, for example, by analysis of working principle, from the perspective of healthy status evaluation, it will be associated with healthy status indicators stratified processing. Then according to the hierarchy correlation index from the bottom of each layer in systems integration, the paper consider the complexity of system structure and index measurability, and use the analytic hierarchy process and the D-S evidence fusion solid state transmitter overall healthy assessment results.

The study is a single-group experiment design for the operation and measurement of nursing management practice training by applying action learning-based teaching-learning design. The study performed a total convenience sampling of 105 senior nusing students of N University in G Metropolitan City who applied for nursing management practice curriculum. The nursing management practice was implemented from Aug. 4 to Sept. 26, 2014. Each team consists of 4-8 subjects who participated in the practice for two weeks, for a total eight weeks. Prior to practice, pre-survey was carried out and post-survey upon the completion of the practice. A skill survey tool of metacognitive tools developed by Printrich & Groot(MSLQ) edited by Woo, and Marshall(2003), and modified by Kwon (2010) was used as a a tool to measure initiative in problem solving, understanding of interpersonal relationships, and team efficacy. The study result showed a statistically significant difference in subjects in Metacognitive (t=-5.124, p<.001), initiative of problem solving (t=-5.817, .000), understanding of interpersonal relationships (t=-4.947, .000), and team efficacy (t=-3.483, .001) after participating in action learning-based team project activities.

Motivated by principles of natural language processing, we talk about rule-based methods for sports video analysis and propose a video parsing system by using grammar. Firstly, we segments video into elementary shots. Then through event detection, shots are annotated with semantic labels to form a token sequence. Finally, the sequence is parsed and validated with grammar to construct a table of content for the video. Different from other systems in the literature, our system is not only able to annotate semantic events, but also able to recognize hierarchical game structures of sports videos. Thus, it satisfies user’s requirements better.

The paper study on the TEMPEST standards with not only analyzing a large number of data from decrypted and semi-decrypted documents, but also tie up with the EMC standards because of they are indivisible. It proposed three attributers on TEMPEST standard, including serializability, architecture and life cycle. The serializable standard means no conflicts, including but not limited to, of the standards specifications, issue times, data limits, publishers, practitioners and so on. The architecture of standard exists so that should be named in nomenclature and demonstrated with systematic way. The standard should be established and published on opportune moment, living cycle from established to cancelled. The attributers are demonstrated through TEMPEST standard examples. The development of TEMPEST standards should be consistent with TEMPEST theories and products.

The past has focused on domestic transactions from the point of accident prevention on the basis of security. Of course, it is a problem that its security measures had been focused on the user terminal stage. By supplementing it now, securities business circles are expected to announce "None Face-To-Face Account Opening". Therefore, they have been introducing and advancing Fraud Detection System (FDS) that integrates log data from HTS (Home Trading system) and security system; models trading patterns; and detects and analyzes abnormal financial transactions based on the scenarios. Consider-ing such characteristics of securities business as ordering and transferring stocks or shares, the present study proposes trading patterns specialized in the business and detec-tion plan (decision making) after examine four major functions, patterns and detection of FDS.

This paper, according to the characteristics of the goal and criteria in decision making for product design alternatives, provides an evaluation model combining UEOWA process with preference ranking organization method for enrichment evaluations. Preference ranking organization method for enrichment evaluations is used to calculate the net flow to obtain the ranking of the design alternatives based on the combination of quantitative and qualitative decision criteria system. This approach takes into account the uncertainty of the attribute information and orients to the designer's goals and values, thus has certain implication in product design. The method can be provide reference for this kinds of problems.

In Multi-Agent System, obligations are actions that agents are required to take or some states of affairs which should be maintained, formal modeling and verifying obligation policy which is high-level requirements specifications or communication protocol for constraining agent interaction can enhance the correctness of the system design. In this paper, we present a formal framework for modeling obligation policy, the framework is formalized using concepts of social commitments, it allows reasoning about change in the states of obligations and provides Kripke operational semantics which can help to convert framework of obligation policy to the input model of model checker MCMAS, at the same time ,the properties of framework depending on policy conflicts are represented with CTL, and the violations of properties is detected by using MCMAS which can provide the counterexample and trace it back to the errors in interaction policy. Finally, we present an implementation and report on experimental results of verifying obligation policy using MCMAS model checker.

The purpose of this study was to examine the relationship between safety attitude and practices of nurses at emergency departments in hospitals. A total of 251 nurses working in the emergency department at 18 hospitals, which have over 300-beds in K-do and C-do (province) from May to July, 2014, were used for the study. A descriptive research study using a survey questionnaire on safety attitude scale safe practices was used. Data was analyzed using descriptive statistics, Pearson correlation, t-test, one-way ANOVA, and Scheffe test. There were significant differences in the level of perception of safety attitude and priority and progress of safe practices according to the nurses' age and number of safety education sessions. There were positive correlations between priority and progress of safe practices. However, there were no correlations between priority and safety attitude. The nurses’ perception of attitude toward safety practice was positively affected by the progress of safe practices in the emergency department. Therefore, it is important for hospitals to develop effective programs that can enhance the nurses’ attitude towards patient safety to ensure safety practices in the emergency departments to provide safe patient care. Keywords: Emergency

With the development of the Internet technology, people’s life and work are more and more dependent on the Internet. Remote rendering techniques permit streaming of high-quality 3D graphics to apply onto a wide range of smart devices, and recent years have also seen many solutions of Web3D applications. Web3D is a kind of technology, which can perform the 3D visualization on the Internet, and virtual roam can present information in a far more intuitive and interactive way to people. So, Web3D technology is the foundation of virtual roam technology. Today, Web3D technology and virtual roam technology has become the research focus of computer technology. This paper presents the basic concept and characteristics of Web3D, and designs a solution concerning the virtual roam by combining WebGL and HTML5. This solution has characteristics of good compatibility, GPU acceleration and free plug-ins. Meanwhile, this paper aims at researching collision detection in the virtual roam and presenting a fast collision detection and correction algorithm.

When university students discover who they are, and are able to live independent college life, they are able to find the confidence to take responsibility for their lives. Placing the focus on how university years are crucial for developing self-leadership, this study, as a method of cultivating self leadership and super leadership, aims to analyze the differences in the inclusion of mentoring provided by senior students in the school curriculum for developing freshmen's self leadership and super leadership. Building on this study, if existing leadership courses and senior-junior mentoring activities are parallel, self-leadership and super leadership of university students could be improved more effectively.

As the main member of closed-loop supply chain, the enterprises always consider optimizing supply chain from the angles of pricing and channel while ignoring the role of advertising in the supply chain. In order to study pricing decision and advertising coordinate strategy, we divided the closed-loop supply chain into four cases including manufacture recycling advertising, retailer recycling advertising, manufacture recycling retailer advertising and manufacture advertising retailer recycling. With the impact of advertising for market demand and recycling, by using the game theory, we established four mathematical models, the results show that the retailer recycling advertising mode is the most advantageous for the closed-loop supply chain, compared with the other three modes, we found that when retailer responsible for recycling and advertising, thought the advertisement costs is highest, but the demand, profits of retailer and manufacture, recycling rate are also the highest.

Transfusion auxiliary device by patient manual control dressing is proposed. It is realized by one-way rotation ratchet mechanism, which is consistent of slider-crank mechanism and double pawl ratchet mechanism. Dressing change is automatically realized by patient manual control rope. This reduces the labor intensity of the medical staff, shortens the waiting time of the patients. This device has the advantage of low cost, large market space.

This study aims to examine the fitness of a path model that explains the relationship among factors affecting somatization symptoms in high school girls. The participants were 524 girls from 3 high schools in B city from 25, July to 30, August, 2012. The data were collected through self-reported questionnaires and analyzed by using PASW 18.0 and AMOS 16.0 program. The overall fitness indices of hypothetical model were good (χ²=.03(p=.867), χ²/df=.03, SRMR=.002, GFI=1.00, RMSEA=.00(.00-.06), NFI=1.00, TLI=1.00, CFI=1.00). Out of 9 paths, 8 were statistically significant. Somatization in high school girls was directly affected by depression, academic stress, and perfectionism, except social support. This model explained 34% of variance in somatization in high school girls. The findings of this study suggest that nursing intervention to reduce somatization in high school girls should contain strategies to control their depression, academic stress, and perfectionism.

For the single source characteristics of the insufficient problem of nonlinear analog circuit soft fault diagnosis, we propose a new method that is based on dual Wiener core for fault diagnosis of intelligent information optimization fusion[1,2,3,4,5], firstly, the incentive is Gauss white noise, after sampling we obtain the Wiener core of circuit and power which is used from the discrete Wiener core, then use the improved genetic algorithm, make the feature selection and fusion combination as an optimization problem, propose intelligent optimization fusion extraction based on the improved genetic algorithm, the circuit set total Euclidean distance as the objective function optimizes, the different information in feature layer can be organic integration, then use the BP neural network for intelligent diagnosis. Experiments show that the method can effectively improve the accuracy of the diagnosis of nonlinear multiple soft faults.

Service innovation as an important technology innovation form, plays more and more important role in economic growth and social development, it has received extensive attention from both academic and industrial circles. This paper analyzes the driving force and the modes of the enterprises service innovation, points out the problem of enterprise service innovation in micro era, and proposes the improvement of enterprise service innovation strategy.

This descriptive survey research elucidates the confidence in newborn care and the postpartum fatigue of puerperal mothers in rooming-in and non-rooming-in groups, and investigates relevant factors with intent to provide reference data needed to perform proper nursing intervention for the confidence in newborn care and the postnatal fatigue. A total of 159 subjects (43 in a rooming-in group vs. 116 in a non-rooming-in group) staying in a university hospital and a women's hospital in Uijeongbu City within 48 hours after giving birth were selected. The confidence in newborn care was measured with the Revised Self Confidence Scale, whilst the postpartum fatigue was measured with the Fatigue Continuum Form. Demographic information and obstetric characteristics were collected with a self-reporting questionnaire survey. In short, based on the Revised Self Confidence Scale, comfort & safety (t=2.876, p=.005), feeding (t=2.281, p=.024), infant's behavior (t=2.395, p=.018), hygiene control (t=2.978, p=.003), health & ill-ness (t=3.646, p<.001) and confidence in newborn care showed significant total scores (t=2.997, p=.003). Based on the Fatigue Continuum Form, the physical, psychological, and neurosensory fatigue scores and the total fatigue score did not show any statistical significance in each area (t=1.169, p=..244)(t=1.941, p=.054)(t=1.863, p=.064)(t=1.897, p=.060). The present findings can be applied as the reference data conducive to correcting the myth among puerperal mothers that rooming-in will increase the postnatal fatigue and supporting the benefits of rooming-in.

As one of the most important parts of the agricultural work, agricultural chemicals spray is to protect the plants from weeds, pest and bacteria. With development of high efficient agricultural chemicals, the consumption of agricultural chemicals should be controlled within a couple of liter per hectare in theory. But it’s very hard to realize effective use of agricultural chemicals in fact. In this paper, the most effect factors of spray quality such as droplets size, environment temperature, droplets density, nozzle type and spray method were analyzed in agricultural chemicals spray operation. Droplet size effects drift and uniformity of droplet distribution directly. Environment temperature effects drift and uniformity of droplet distribution greatly. Character of nozzle affects spraying quality directly. All research of the paper can offer valuable reference to appropriate application of agricultural chemicals.

The purpose of this study was to investigate the ways of coping and the academic resilience of nursing students according to MBTI personality types, and to examine the factors affecting the academic resilience. The data were collected by self-reported questionnaire from 188 nursing students in G city from September 15 to October 17, 2014. Korean version of MBTI, ways of coping checklist, and academic resilience scale were used. The result of this study showed that Extroversions preference (E) respondents use ways of coping more frequently than Introversions preference (I) (t=-3.516, p=.001) and the Academic resilience was significantly higher in the Extroversions preference (E) than in the Introversions preference (I) (t=-2.902, p=.004) while the Judging types (J) have higher academic resilience than the Perceiving types (P) (t=-3.113, p=.002). The factors that most influenced academic resilience for the nursing students were satisfaction in major, academic records, judging type preference, and ways of coping, which explained about 45.2% of the total variances.

Aimed at the highly nonlinear and uncertainty of gold price changes, a new method for gold price predition based on improved PSO-BP is proposed. By introducing mutation operation and adaptive adjust of inertia weight , the problem of easy to fall into local optimum, premature, low precision and low later interation efficiency of PSO are solved. By using the improved PSO to optimiaze BP neural network’s parameters, the learning rate and optimization capability of conventional BP are effectively improved. The simulation results of gold price prediction show that the predict accuracy of the new method is significantly higher than that of conventional BP neural network and wavelet neural network method. And the method is effective and feasible.

This study used a non-equivalent control group pre-test post-test design to develop an emergency nursing simulation-based education program for hypoglycemia patients, and examine the program’s effects on nursing students’ self-directed learning ability and confidence in performance of these said activities. Participants included sophomore nursing students from the Department of Nursing at S University in Seoul. Participants were divided in experimental (n=30) and control (n=30) groups. A 1-hour lecture on diabetes was administered to both groups. Subsequently, the experimental group was divided into teams and engaged in self-study for 1 week, after which time they participated in the simulation-based education program. Data were analyzed using SPSS, and the homogeneity of the dependent variables was verified using X3 tests and t-tests. Post-intervention between-group differences in self-directed learning ability and confidence in performance were analyzed using an ANCOVA. Study results showed that there was significant improvement in self-directed learning ability (F=8.49, p=.005) and confidence in performance (F=13.88, p<.001) for the experimental group. Therefore, this simulation-based program may be utilized as a useful educational method for enhancing nursing students’ clinical performance abilities.

This paper mainly focuses on the analysis and prediction of flowing factors of migrant workers in HeiLongjiang province of China. The feature of the research is that a software system is also developed to assist analysis and research. Sankey diagram and CART (Classification and Regression Trees) algorithm are used as main techniques to analyze data and visualize it. The research methods and software system in this paper can provide support for making decision on labor policy.

Excessive vibration and vibration damage are serious engineering problems in the TBM boring process. TBM dynamic characteristic analysis is essential to the anti-vibration design of the TBM mainsystem. This paper classifies the TBM thatmostly used in the practical engineering into TBM 1 and TBM 2, and comprehensively analyses the difference of cutter layout strategy, pinion layout strategy, shield support structure, etc between TBM 1 and TBM 2. A dynamic comparative analysis of TBM cutterhead was carried out based on a TBM dynamic model. The analysis results show that the cutterhead horizontal vibration of TBM 1 is around 0.3mm while that of TBM 2 is around 1.4mm.The vibration periodicity of TBM 2 significantly reduces. The influence of shield vertical support on the horizontal and vertical vibration of TBM 2 is analyzed. The results show that settinga vertical support at the bottom of the shield reduces the TBM cutterhead vibration by about 12%.

As Android malware is evolving quickly, malware creators are starting to develop new kinds of threats such as remote server-side polymorphic malicious code for Android platform that are being actively generated and distributed via the official Android Markets. Remote server-side polymorphic mobile apps can’t be detected correctly as those apps contain spyware and trojans as a hidden undetectable code. Furthermore, these types of malicious apps download other malware onto infected phones using advanced deformation and transformation tricks based on an existing exploit. Therefore, we designed and implemented dynamic analysis system to detect evasive and transformative remote SSP malicious mobile apps efficiently. In particular, we proposed web based analysis and management system to validate and confirm suspicious remote server-side polymorphic malicious apps efficiently.

In order to establish the 3D Temperature Field based on structure light 3D measurement and cross-correlation registration. Infrared/Visible camera calibration method and heterologous images registration method were studied. First, according to infrared camera’s characteristics, the selection of calibration templates have been studied and the calibration of the infrared camera has been accomplished on the basis of planar calibration method; then, we simplified the two-step method based on the mature principle of structure light measurement; and the visible camera was calibrated; finally, use calibrated visible cameras to form structured light measurement system, and register the infrared image and visible image in the geometrical position. Experimental results show that: the relative error of measurement system is less than 0.3%;infrared and visible image’s alignment error in geometrical position is 0.0015 mm. and measurement systems have good reconstruction results for plane and curved ,and cross-correlation method has a good effect for heterrologous images registration.