Automatic Generation System Research Articles

Quantitative Common Sense Estimation System and its Application for Membership Function Generation

Systems capable of autonomous thinking are sometimes required to cope with unanticipated situations. An important issue in this context is knowledge – especially common sense – acquisition. In this paper, we propose novel quantitative common sense estimation methods and apply them to an automatic membership function generation system. Our proposed system estimates threshold values corresponding tolargeandsmallfor various kinds of objectattribute sets to form membership functions, where it attempts to relate each object to its corresponding impression. Two methods are proposed in this paper. The first, Method-1, obtains data from the top 1,000 snippets through a web search and estimates the global and local tendencies by clustering them. The second, Method-2, uses the number of hits from a web search together with parts of the results obtained through Method-1. In addition, we devise several techniques to eliminate unnecessary information in the retrieved web pages. We also carried out experiments that verified the effectiveness of our proposed methods and the method combining those two.

An innovative approach for automatic generation, verification and optimization of part programs in turning

Continuous innovation of products and optimization of manufacturing processes are of fundamental importance for preserving competitiveness. In the last decades, several approaches based on analytic models for optimization of basic machining operations such as cylindrical turning and face milling have been developed. However, the analytic approaches may not be adequate for real industrial applications, since they are based on average cutting parameters and thus they are not capable of taking into account the effect of complex geometries and instantaneous cutting conditions. In this paper, an innovative integrated system for automatic generation of optimized part programs in turning based on realistic machining simulation is proposed. The system components are described in detail and the machining simulator is validated by comparison with the results of real cutting tests. Then, the optimization approach is applied to a simple case study. The results show that the behavior of the cost function is rather complex, even for simple workpieces. Moreover, the simulator can detect unfeasible combinations of cutting parameters and thus reduce inline part program refinement and optimization. The optimal combination of cutting parameters determined by the new system was competitive with the solutions derived from tool specifications or proposed by a machining expert.

Functional Modules of a Semi-Automatic Question Generating System

In the last decade different applications of computer science (data mining, text mining) have been recognised. Presently an automatic question generation is a current research area. The elaborated system generates multi-choice questions from textbooks without using an external semantic database. Main demands made for the implemented automatic question generation system: supporting the Hungarian language, using a free grammar analytic, generating test questions from annotated texts, implementing potential answers from an internal, own developed semantic data base, supporting multi-choice problems, a possibility of implementing electronic and printable test papers. During planning the framework among the applied methods, clustering on the base of distances, a classification algorithm on the base of a neural net, in the case of generating questions and answer alternatives an own developed semantic data base was implemented. To prove the practical applicability of the automated question generating method, Java-language software was developed.

Development of Algorithm and System for Automatic Generation of Nursing Summaries from Nursing Care Plans

A nursing care planning system that automatically generated nursing summaries from information entered into the Psychiatric Outcome Management System (PSYCHOMS?, Tanioka et al.), was developed to enrich the content of nursing summaries at psychiatric hospitals, thereby reducing the workload of nurses. Preparing nursing summaries entails finding the required information in nursing records that span a long period of time and then concisely summarizing this information. This time consuming process depends on the clinical experience and writing ability of the nurse. The system described here automatically generates the text data needed for nursing summaries using an algorithm that synthesizes patient information recorded in electronic charts, the Nursing Care Plan information or the data entered for North American Nursing Diagnosis Association (NANDA) 13 domains with predetermined fixed phrases. Advantages of this system are that it enables nursing summaries to be generated automatically in real time, simplifies the process, and permits the standardization of useful nursing summaries that reflect the course of the nursing care provided and its evaluation. Use of this system to automatically generate nursing summaries will allow more nursing time to be devoted to patient care. The system is also useful because it enables nursing summaries that contain the required information to be generated regardless of who prepares them.

An Automatic Generation System of the Comic from a Newspaper Article

An Automatic Generation System of the Comic from a Newspaper Article

Automatic attack signature generation systems: A review

Signature-based intrusion detection systems provide solutions to counter the increasing number of attacks on network resources. But this is not helpful for novel attacks whose signatures aren't available. Automated signature generation systems can work proactively to detect these attacks in real time and generate signatures of new attacks. This article analyzes the latest developments, including Honeycyber, Hancock, Arbor, Auto-Sign, Argos, Hamsa, F-Sign, and a hybrid honeyfarm-based defense system, comparing these systems on the basis of their ability to detect novel attacks, signature generation method, suitability for multiple instances of worms, type of signature generated, attacks and worms covered, false alarm rates, and relative strengths and weaknesses.

Constraint optimization model of a scheduling problem for a robotic arm in automatic systems

In this paper, we investigate the problem of scheduling a 6 DOF robotic arm to carry out a sequence of spray painting tasks. The duration of any given painting task is process dependent and fixed, but the duration of an “intertask”, corresponding to the process of relocating and reorienting the robot arm from one painting task to the next one, is influenced by the order of tasks and must be minimized by the scheduler. There are multiple solutions for reaching any given painting task and tasks can be performed in either of two different directions. Further complicating the problem are characteristics of the painting process application itself. Unlike spot-welding, painting tasks require movement of the entire robot arm. In addition to minimizing intertask duration, the scheduler must strive to maximize painting quality and the problem is formulated as a multi-objective optimization problem. The scheduling model is implemented as a stand-alone module using constraint programming, and integrated with a larger automatic system. The results of a number of simulation experiments with simple parts are reported, both to characterize the functionality of the scheduler and to illustrate the operation of the entire software system for automatic generation of robot programs for painting.

Automatic Ontology Generation for Musical Instruments Based on Audio Analysis

In this paper we present a novel hybrid system that involves a formal method of automatic ontology generation for web-based audio signal processing applications. An ontology is seen as a knowledge management structure that represents domain knowledge in a machine interpretable format. It describes concepts and relationships within a particular domain, in our case, the domain of musical instruments. However, the different tasks of ontology engineering including manual annotation, hierarchical structuring and organization of data can be laborious and challenging. For these reasons, we investigate how the process of creating ontologies can be made less dependent on human supervision by exploring concept analysis techniques in a Semantic Web environment. In this study, various musical instruments, from wind to string families, are classified using timbre features extracted from audio. To obtain models of the analysed instrument recordings, we use K-means clustering to determine an optimised codebook of Line Spectral Frequencies (LSFs), or Mel-frequency Cepstral Coefficients (MFCCs). Two classification techniques based on Multi-Layer Perceptron (MLP) neural network and Support Vector Machines (SVM) were tested. Then, Formal Concept Analysis (FCA) is used to automatically build the hierarchical structure of musical instrument ontologies. Finally, the generated ontologies are expressed using the Ontology Web Language (OWL). System performance was evaluated under natural recording conditions using databases of isolated notes and melodic phrases. Analysis of Variance (ANOVA) were conducted with the feature and classifier attributes as independent variables and the musical instrument recognition F-measure as dependent variable. Based on these statistical analyses, a detailed comparison between musical instrument recognition models is made to investigate their effects on the automatic ontology generation system. The proposed system is general and also applicable to other research fields that are related to ontologies and the Semantic Web.

Automatic Generation of Modules of Visual Recognition

We consider the problem of automatic generation of visual recognition modules. In particular, we consider a self-learning algorithm for visual recognition and system of automatic generation that based on some biological observations.

A Study of Dynamic Scene Automatic Generation System for Micro-Film Studio

While the international micro film studio technology is in the ascendant, China's micro movie studio is still a blank. But today, it's in the rapid development, with that comes rising demand of micro film studio technology. This paper proposes a Dynamic Scene Automatic Generation System, which means an automatically building system can integrate real property and the computer virtual reality environment in shooting, even convert the scripting language to play in the micro film studio. It can enhance the artistic effect of environment and plot, enhance the authenticity of the performance and effectively reduce the cost with strong proactive, creativity and usability.

A cross organisation compatible workflows generation and execution framework

With the development of the Internet, the demand for electronic and online commerce has increased. This has, in turn, increased the demand for business process automation. In this paper, we look at the use of workflows for business process automation. An automatically generated workflow can save time and resources needed for running online businesses. In general, due to the interdependencies between their activities, multiple business organisations will need to work together by collaborating and coordinating their activities with each other. This gives rise to the need for workflow collaboration across organisations. Current systems for workflow collaboration are only capable of reconciling existing workflows of the collaborating organisations. Automatic workflow generation systems only generate workflows for individual organisations and cannot handle the automatic generation of compatible workflows for multiple collaborating organisations. To overcome this problem, in this paper, we present a framework that is able to generate multiple sets of compatible workflows for multiple collaborating organisations. The proposed framework supports runtime enactment and runtime collaboration of the generated workflows. This framework enables users to save the time and resources that would otherwise be spent in modelling, reconciling and reengineering workflows.

Hexadecane mechanisms: Comparison of hand-generated and automatically generated with pathways

In this paper, the automatically generated mechanism for hexadecane with both high and low temperature chemistry included is compared to a systematically generated mechanism by hand. In contrast to other systems for automatic generation, the REACTION system uses pathways to organize the application of reaction classes. A pathway is a sequence of reaction classes where only those species produced by the previous step of the pathway are used in the current step of the pathway. This “controlled” generation process not only mimics what is done by hand, but also helps to limit the size of the generated mechanisms. Both systematic reaction by reaction comparisons and numerical simulation (zero-dimensional constant volume) comparisons were done and the mechanisms were found to have minor differences. Both mechanisms used the same set of reaction classes to model the high and low temperature combustion chemistry of all n-alkanes up to hexadecane. In addition, a sensitivity analysis of all the reaction classes was performed. The generated mechanism has 2176 species and 7269 (reversible) reactions.

Automatic cartoon matching in computer-assisted animation production

Traditional cartoon animation painting has always been a tedious job. In order to improve the efficiency of the process, the development of an automatic cartoon generation system including automatic inbetweening and coloring is required. Automatic matching of cartoon characters in key frames is the prerequisite for the system. This paper provides a novel matching algorithm with iterative maximum a posteriori (MAP) estimation and the maximum likelihood (ML) estimation. Specifically, this algorithm formulate cartoon matching as a many-to-many labeling problem. To refine the results of matching, an optimization approach is adopted to alternatively conduct the MAP estimation and the ML estimation. Besides, we construct the correspondence by using the local shape descriptor, and the rotation and scale invariance in matching can be achieved. The experimental results on real-world datasets demonstrate the effectiveness of the proposed methods for automatic cartoon matching.

The Development of an Automatic Question Generation System on Facebook Using an Artificial Bee Colony Algorithm

Facebook is currently one of the world's most popular social networking services, and has been widely used in the field of e-learning. In general, learners in e-learning environments need to evaluate their learning ability through taking tests to present the learning achievement. In order to evaluate their ability on e-learning platform with social network services, this study proposes an automatic question generation system for individual learning status. The proposed system uses the artificial bee colony algorithm to find suitable questions for each learner according to the learner's profile, reading experience, professional ability, and the e-learning records in the system. The experimental results indicate that the proposed method improves the accuracy of the automatic question generation system and that it outperforms the random method.

GAT: Platform for automatic context-aware mobile services for m-tourism

Despite the recent advances in mobile tourism systems, most of the wayfinding applications have still to deal with some problems: a huge amount of tourist information to manage, guidance for indoor and outdoor environments, and the need of users to have programming knowledge about many mobile phone platforms. In this study, we propose the GAT platform to overcome these problems. In GAT, users are able to generate wayfinding applications for indoor and outdoor environments through a web form without the need for programming skills, assisted by a system of automatic generation and update of points of interest.

A Survey of Automatic Music Generation Systems based on Creative Process Framework

A Survey of Automatic Music Generation Systems based on Creative Process Framework

Development of Automatic Mesh Generation System for Cooling Analysis of Engine Compartments(Industrial Materials)

Development of Automatic Mesh Generation System for Cooling Analysis of Engine Compartments(Industrial Materials)

分解順番先送りアルゴリズムによる組立アニメーションと3D作業指示図の高速自動生成技術の開発と実用化

分解順番先送りアルゴリズムによる組立アニメーションと3D作業指示図の高速自動生成技術の開発と実用化

Automatic generation of tourism quiz using blogs

The one-way information communication provision does not impress listeners well. As an efficient way, Question & Answer can not only help listeners to comprehend the content of information but also help information providers understand the response of listeners. However, it is not easy for everyone to create suitable questions. In this paper, we propose an automatic quiz generation system using tourism blogs. The system can generate quizzes by extracting feature words of the topic keyword from blogs. Our purpose is to help tourism information providers to advertise their tourism events in an interactive way, in order to impress tourists. When compared with other methods of quiz generation, we demonstrate that our method is more suitable for information communication provision.

Automatic Dance Lesson Generation

In this paper, an automatic lesson generation system is presented which is suitable in a learning-by-mimicking scenario where the learning objects can be represented as multiattribute time series data. The dance is used as an example in this paper to illustrate the idea. Given a dance motion sequence as the input, the proposed lesson generation system automatically generates the lesson plan for students. It first extracts patterns from the input dance sequence to form the learning objects. The prerequisite structure is then built by considering the relations between the learning objects. Afterward the knowledge structure is constructed from the prerequisite structure based on the knowledge space theory. Finally, the learning path is derived according to an easy-to-complex manner while respecting the prerequisite relations. A user study that involved 40 students was conducted to evaluate the proposed work. The average learning time required for the treatment group (learning with the proposed system) was found to be lower than that of the control group (learning by free browsing) thus demonstrating the learning efficiency of the proposed system. The feedback from the questionnaires indicated that a majority of the subjects showed positive response toward the usefulness and rationality of our proposed system.