1,610 research outputs found

    Development of STEP-NC based machining system for machining process information flow

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    To realize the STEP-NC based machining system, it is necessary to perform machining feature extraction, generating machine-specific information, and creating a relationship between STEP-NC entities. A process planning system of a STEP-NC information flow that starts with constructing a machining feature from a CAD model will be developed. In this paper, a further in depth study of the implementation and adaptation of STEP-NC in manufacturing is studied. This study will help to understand how the data from CAD/CAM can be converted into STEP-NC codes and the machining process will be based on the STEP-NC codes generated

    Topic based language models for ad hoc information retrieval

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    We propose a topic based approach lo language modelling for ad-hoc Information Retrieval (IR). Many smoothed estimators used for the multinomial query model in IR rely upon the estimated background collection probabilities. In this paper, we propose a topic based language modelling approach, that uses a more informative prior based on the topical content of a document. In our experiments, the proposed model provides comparable IR performance to the standard models, but when combined in a two stage language model, it outperforms all other estimated models

    Timed k-Tail: Automatic Inference of Timed Automata

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    Accurate and up-to-date models describing the be- havior of software systems are seldom available in practice. To address this issue, software engineers may use specification mining techniques, which can automatically derive models that capture the behavior of the system under analysis. So far, most specification mining techniques focused on the functional behavior of the systems, with specific emphasis on models that represent the ordering of operations, such as tempo- ral rules and finite state models. Although useful, these models are inherently partial. For instance, they miss the timing behavior, which is extremely relevant for many classes of systems and com- ponents, such as shared libraries and user-driven applications. Mining specifications that include both the functional and the timing aspects can improve the applicability of many testing and analysis solutions. This paper addresses this challenge by presenting the Timed k-Tail (TkT) specification mining technique that can mine timed automata from program traces. Since timed automata can effectively represent the interplay between the functional and the timing behavior of a system, TkT could be exploited in those contexts where time-related information is relevant. Our empirical evaluation shows that TkT can efficiently and effectively mine accurate models. The mined models have been used to identify executions with anomalous timing. The evaluation shows that most of the anomalous executions have been correctly identified while producing few false positives

    Pengujian Technology Acceptance Model (Tam) dan Theory Planned Behavior (Tpb)

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    The purpose of this study is to examine the factors that determine intention of the accounting student to adopt internal software My Quick Accounting System (My QAS) in economic faculty of Islamic University “45” Bekasi. To identify the factors that affect intention to adopt internal software using a research model based on Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB). The behavior factors that using in this study are perceived usefulness, perceived ease of use, attitude, subjective norms, self efficacy, and technology support. The respondent in this study that only the accounting students who have participated in accounting computer course. This study using the survey method for data collection (personally administrated questionnaires). The results indicate that the accounting student's intention to adopt My QAS determine by behavior factors such as: perceived usefulness, perceived ease of use, attitude, subjective norms and technology support

    Spartan Daily, March 16, 2004

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    Volume 122, Issue 32https://scholarworks.sjsu.edu/spartandaily/9967/thumbnail.jp
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