Car-like Vehicle Models A car-like vehicle resembles completely an automobile. It consists of four wheels for locomotion and is capable of being steered from one place to another. Car-like vehicles model can be classified as rear-wheel, front-wheel and four-wheel driving ground vehicles. For a rear wheel drive vehicle, the rear tires handle the engine dynamics while the front only needs to handle the steering forces. Figure 2, depicts the vehicle model schematic for a rear drive vehicle. The states
Pharmacologic Models Current pharmacologic models were developed based on our understanding of the alterations in various neurotransmitter system found in schizophrenia. These models are largely based on the neurodegenerative theory of schizophrenia. In general, the predictive validity of these models is variable, but often fairly good because most pharmacologic models involve the administration of drugs that induce or exacerbate schizophrenic symptoms in humans (Steeds et al. 2014). The construct
Introduction 2. Applications of Big Data, Data Mining and Predictive Analytics For the development of Big Data, Data Mining and Predictive Analytics applications, several methodologies and techniques routed to the control and post-analysis of info-data have been generated in different fields. Those methodologies and techniques allow a better use of info-data to solve a specific problem. Some fields, in which Big Data has developed, both in public and private, are health and science, economics
sources of data for new insights into who, what, and how to manage the health of both individuals and populations requires advanced analytics techniques. Three examples of these advanced analytics concepts are predictive modeling and prescriptive analytics, and operations research. Predictive modeling uses data mining and statistical techniques to identify unique groupings and to predict outcomes for that group. An example would be analyzing a data set made up of demographics (age, gender, weight)
Introduction Robotics Robotics is a very fascinating field that allows machines to get work done under very minimal human control. It is a field that is evolving fast and is finding many applications in nearly all the disciplines that require use of technology. The advantages attached to the use of robotics are unparalleled and many. For example, use of robots has been very helpful in reducing human inefficiencies in production lines. The accuracy introduced by use of robots is not only recommendable
3 Study 1: A Predictive Model of Self-Managing Work Team Effectiveness (Cohen, Ledford and Spreitzer, 1996) The study by Cohen, Ledford and Spreitzer (1996) puts forward that, the empirical test results of predicting team effectiveness are suggestive. Their research investigated the comparison of team effectiveness between self-managing teams and traditionally managed teams. Self-managing teams are also a group of individuals with interdependent tasks and skills moving towards a shared goal. The
conducted on the microgrid notion [3-5]. The performance of microgrid system is complex and irregular while some microsources are associated. In order to understand the behavior of a microgrid with several microsources, key issues such as microgrid control, stability and protection have to be considered in detail. Background: The increasing require of electricity, fast exhaustion of fossil fuels, diminution of CO2 emissions, in conjunction with the incapability and ineffectiveness of present electricity
processing, output and feedback. Computer Statistics (COMPSTAT) uses Geographic Information Systems (GIS) to help police respond to crimes faster. The strengths, weaknesses, opportunities, and threat analysis (SWOT analysis), are evaluated in the predictive policing. All of these subject matters will be discussed in this paper. The U.S. Police Departments needed a more efficient way to share information across the geographic locations to help prevent and response to crimes faster. After the 9/11
Review Middle Range Theories in the Nursing Literature In order to understand middle range theories, a practical knowledge of the definition should be achieved before attempting to applying to concepts or classifications to the models. Middle range theories are defined as, theories that are fundamentally individual while incorporating a controlled amount of assumptions furthermore, having a limited characteristic of reality. These concepts are defined and may be tested (McEwen & Wills, 2011 p.
non-profit administrations in the 21st century. The first theory we are going to analyze is the theories of Political Control of Bureaucracy. This theory focuses on the question of bureaucracy compliance with the law and the preferences of the lawmakers. There is much distrust of American philosophy in the power of government in public administration. Theories of political control of bureaucracy have a basic objective to explain and ensure how administration can be accountable and subordinate to the
software reliability was Hybrid intelligent systems for predicting software reliability [1] Mohanty et al. (2013). The author has employed recurring architecture for Genetic Programming and Group Method of Data Handling (GMDH) and also collaborative models involving GP, GMDH as constituents and GP, GMDH, BPNN and Average as arbitrators in predicting software reliability. Another state-of-the-art review [2] Mohanty et al. (2010) validates the affirmation. The techniques that were employed by the authors
c. Measures Demographic variables. Firstly, all participants are asked to give information about their date of birth, gender, socioeconomic status, ethnic background and education. Traumatic events in childhood will be measured using the Childhood Trauma Questionnaire-Short Form (CTQ-SF) Dutch Version. The CTQ-SF questionnaire is a retrospective self-report with 28-items. The CTQ-SF measures five types of negative childhood experiences: physical abuse (e.g., “I believe that I was physically abused”);
Amazon.com Introduction Amazon.com is a complex website that handles the selling of many products from books to movies to games and much more. The websites consists of layers of tabs which helps direct the customer to the category where the product that they are searching for is located. With the large amount of products that they handle, Amazon must keep up to date with the latest hardware and software in order to keep their website functioning smoothly. This includes things like databases, data
This paper discusses the Bornstein PF model and traditional model of validity. It discusses how Bornstein maintains that it is important to use the PF model of validity. It discusses the tools used to group categories of mental activities and behaviors when responding to test. Furthermore, it discusses how Bornstein’s PF model could assess with validity in assessment of children with autism and difficulties with social functioning. Validity is how well a test or measurement tool
The proposed method had an accuracy of 99.4 % with the WBC data set, 97.7 % with the WDBC data set, and 84.4 % with the MM data set; and in every aspect, it performed better than Multilayer Perceptron and Support Vector Machine based classification models. Data mining applications can be used in medical science and the Bioinformatics research field for diagnosis of critical diseases [1, 2]. Aside from other contracting diseases which end lives, breast cancer has probably become an intensely focused
1. An important aspect of any software project is to know how much it will cost. Software project estimation is one of the most important, critical and challenging activities in software project development. Effective planning and control is not possible without a sound and reliable estimate. In order to make accurate estimation and avoid gross misestimations, several cost estimation techniques have been developed over the years. Among all those techniques, estimations based on analogies stands
Data mining is the technique to interpret the data from other perspective and summarize the data so that the data can be useful information. Technically, data mining is a process to identify relations or patterns in the databases to predict the likelihood of future events. According to Eliason et al, there are three systems for healthcare organization to implement the mining data systems. The three systems are the analytics system, the content system and the deployment system. The analytics system
predict an individual’s intention to engage in a behavior at a specific time and place. The theory proposes a model which can measure how human actions are guided. It predicts the occurrence of a particular behavior, provided that the behavior is intentional. The theory was intended to explain all behaviors over which people have the ability to exert self-control. The key component to this model is behavioral intent. It proposes that behavioral intentions are influenced by the attitude about the likelihood
when working with older patients. Nurses’ intention to behave was predicted by their attitudes mostly, perceived behavioural control also carried a significant beta weight although social norms were found to be non– significant. The underlying beliefs of attitudes, subjective norms and perceived behavioural controls were also investigated in terms of expectancy value models. Nurses with positive attitudes towards older patients were found to hold patient orientated values, and job satisfaction, more
capturing data that may otherwise go unnoticed. Technology is a determining factor in the future trends of data analytics. IT architecture and data analytics are always confronted with the fact that upgrades, employee training, and applying new business models is inevitable with respect to new