PRESERVING AND MAINTAINING NATIVE TONGUE THROUGH CULTURAL EXPOSURE

Looking at children in using foreign languages is amazed older people as they can speak those languages fluently. Nowdays, the number of Indonesian children who can produce foreign languages in terms of spoken and written forms of communication is without any doubt surprising. It becomes a trend for parents who are willing to pay at higher costs to send their children to Bilingual and International schools. From this perspective we agree upon the condition that the government has suceeded in pursuing the use of International language in our country. On the other hand, we are losing our own native tongue or vernaculars as schools only allocate those languages as muatan lokal. The government should consider this condition because if they only think of one side, it is possibly endangered the existence of the vernaculars. Fact shows that the number of indigenous languages in Indonesia is dicreasing as there are no more native speakers of the language. Sooner or later indigenous languages will be extinct and we will loose the culture. Language is a part of culture if we lose the language it also means that some parts of culture are gone. History will prove that somehow those extinct vernaculars are existed before they are gone. Therefore, we need to do real action to preserve and maintain our native tongue from becoming extinct by giving more cultural exposure for children at younger age

Evaluating Process Improvement Courses of Action Through Modeling and Simulation

Quantifying an expected improvement when considering moderate-complexity changes to a process is time consuming and has potential to overlook stochastic effects. By modeling a process as a Numerical Design Structure Matrix (NDSM), simulating the proposed changes, and evaluating performance, quantification can be rapidly accomplished to understand stochastic effects. This thesis explores a method to evaluate complex process changes within Six Sigma DMAIC process improvement to identify the most desirable outcome amongst several improvement options. A tool to perform the modeling and evaluation is developed. This process evaluation tool is verified for functionality, then is demonstrated against generic processes, a case study, and a real world Continuous Process Improvement event. The application of modeling and simulation to improve and control a process is found to be a positive return on investment under moderate complexity or continuous improvement events. The process evaluation tool is demonstrated to be accurate in prediction, scalable in complexity and fidelity, and capable of simulating a wide variety or evaluation types. Experimentation identifies the importance of understanding the evaluation criteria prior to “Measurement” in DMAIC, which increases the consistency of process improvement efforts

Artificial Intelligence and Human Error Prevention: A Computer Aided Decision Making Approach: Technical Report No. 4: Survey and Analysis of Research on Learning Systems from Artificial Intelligence

Coordinated Science Laboratory was formerly known as Control Systems LaboratoryU.S. Department of Transportation / DOT FA79WA-4360 ABFederal Aviation Administratio

Knowledge restructing and the development of expertise in computer programming

This thesis reports a number of empirical studies exploring the development of expertise in computer programming. Experiments 1 and 2 are concerned with the way in which the possession of design experience can influence the perception and use of cues to various program structures. Experiment 3 examines how violations to standard conventions for constructing programs can affect the comprehension of expert, intermediate and novice subjects. Experiment 4 looks at the differences in strategy that are exhibited by subjects of varying skill level when constructing programs in different languages. Experiment 5 takes these ideas further to examine the temporal distribution of different forms of strategy during a program generation task. Experiment 6 provides evidence for salient cognitive structures derived from reaction time and error data in the context of a recognition task. Experiments 7 and 8 are concerned with the role of working memory in program generation and suggest that one aspect of expertise in the programming domain involves the acquisition of strategies for utilising display-based information. The final chapter attempts to bring these experimental findings together in terms of a model of knowledge organisation that stresses the importance of knowledge restructuring processes in the development of expertise. This is contrasted with existing models which have tended to place emphasis upon schemata acquisition and generalisation as the fundamental modes of learning associated with skill development. The work reported here suggests that a fine-grained restructuring of individual schemata takes places during the later stages of skill development. It is argued that those mechanisms currently thought to be associated with the development of expertise may not fully account for the strategic changes and the types of error typically found in the transition between novice, intermediate and expert problem solvers. This work has a number of implications for existing theories of skill acquisition. In particular, it questions the ability of such theories to account for subtle changes in the various manifestations of skilled performance that are associated with increasing expertise. Secondly, the work reported in this thesis attempts to show how specific forms of training might give rise to the knowledge restructuring process that is proposed. Finally, the thesis stresses the important role of display-based problem solving in complex tasks such as programming and highlights the role of programming language notation as a mediating factor in the development and acquisition of problem solving strategies

Mitigating Diminishing Manufacturing Sources/Material Shortages (DMS/MS) and Obsolescence for the T-6 Canopy Fracturing Initiation System (CFIS)

The Joint Primary Aircraft Training System (JPATS) lost the supplier for its canopy fracturing initiation system (CFIS) with no prospect for a replacement. This forced a complete CFIS redesign to supply both an active production line and sustain fielded aircraft. Compounding the problem, the existing CFIS became obsolete, which forced an interim design to be produced until a final long term solution was fielded. This thesis developed a method to optimize the redesign by determining the lowest cost path for both fielding the interim design and phasing in the final retrofit. Using the Excel Solver® modeling program, an optimal rate was found to expedite interim design introduction and fleet changeover to the final design. The analysis concluded that using achievable stretch goals, existing production capacity could be adjusted to field the final configuration at the lowest cost

Error management in ATLAS TDAQ : an intelligent systems approach

This thesis is concerned with the use of intelligent system techniques (IST) within a large distributed software system, specifically the ATLAS TDAQ system which has been developed and is currently in use at the European Laboratory for Particle Physics(CERN). The overall aim is to investigate and evaluate a range of ITS techniques in order to improve the error management system (EMS) currently used within the TDAQ system via error detection and classification. The thesis work will provide a reference for future research and development of such methods in the TDAQ system. The thesis begins by describing the TDAQ system and the existing EMS, with a focus on the underlying expert system approach, in order to identify areas where improvements can be made using IST techniques. It then discusses measures of evaluating error detection and classification techniques and the factors specific to the TDAQ system. Error conditions are then simulated in a controlled manner using an experimental setup and datasets were gathered from two different sources. Analysis and processing of the datasets using statistical and ITS techniques shows that clusters exists in the data corresponding to the different simulated errors. Different ITS techniques are applied to the gathered datasets in order to realise an error detection model. These techniques include Artificial Neural Networks (ANNs), Support Vector Machines (SVMs) and Cartesian Genetic Programming (CGP) and a comparison of the respective advantages and disadvantages is made. The principle conclusions from this work are that IST can be successfully used to detect errors in the ATLAS TDAQ system and thus can provide a tool to improve the overall error management system. It is of particular importance that the IST can be used without having a detailed knowledge of the system, as the ATLAS TDAQ is too complex for a single person to have complete understanding of. The results of this research will benefit researchers developing and evaluating IST techniques in similar large scale distributed systems