89 research outputs found

    BATIK INDUSTRY OF INDONESIA: THE RISE, FALL AND PROSPECTS

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    Batik clothes are a society national cultural heritage of Indonesia. In the last four decades has experienced profit, loss and legal intellectual property rights disputes in its business development. It has huge economic income contribution to economy development of Indonesia. The problem of lack of property rights to be implemented has made several losses of income and legal ownership. A better production technology combined together with high cultural philosophical value needs to be paid attention to maintain quality and its exclusivity. The government should be more serious to protect batik craft pattern designers in order ascertain legal ownership product and design through a formal laws confirmations. Batik needs a better and competitive business strategy to win future market globally.product, cultural heritage, income, property rights, technology, business strategy, competitiveness, globalization

    06141 Abstracts Collection -- Dynamically Reconfigurable Architectures

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    From 02.04.06 to 07.04.06, the Dagstuhl Seminar 06141 ``Dynamically Reconfigurable Architectures\u27\u27 was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available

    Design, modelling, simulation and integration of cyber physical systems: Methods and applications

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    The main drivers for the development and evolution of Cyber Physical Systems (CPS) are the reduction of development costs and time along with the enhancement of the designed products. The aim of this survey paper is to provide an overview of different types of system and the associated transition process from mechatronics to CPS and cloud-based (IoT) systems. It will further consider the requirement that methodologies for CPS-design should be part of a multi-disciplinary development process within which designers should focus not only on the separate physical and computational components, but also on their integration and interaction. Challenges related to CPS-design are therefore considered in the paper from the perspectives of the physical processes, computation and integration respectively. Illustrative case studies are selected from different system levels starting with the description of the overlaying concept of Cyber Physical Production Systems (CPPSs). The analysis and evaluation of the specific properties of a sub-system using a condition monitoring system, important for the maintenance purposes, is then given for a wind turbine

    Dataflow-Based Implementation of Deep Learning Application

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    The proliferation of research on high efficient performance on deep learning has contributed to an increasing challenge and interest in the topic concerning the integration of this advanced-technology into daily life. Although a large amount of work on the domain of machine learning has been dedicated to the accuracy, efficiency, net topology and algorithm in the training and recognition procedures, the investigation of deep learning implementations in highly resource-constrainted contexts has been relatively unexplored due to the large computational requirements involved during the process of training large-scale network. In light of this, one process concentrated on parameters extraction and dataflow design, implementation, optimization of one deep learning application for vehicle classification on multicore platforms with limited numbers of available processor cores is demonstrated. By means of thousands of actors computation and fifos communication, we establish one enormous and complex dataflow graph, and then using the resulting dataflow representations, we apply a wide range of design optimizations to probe efficient implementations on three different multicore platforms. Through the incorporation of dataflow techniques, it is gratifying for us to see its effectiveness and efficiency in the several flexible experiments with alternative platforms that tailored to the resource constraints. Besides, we pioneer three general, novel, primitive and thorough flow charts during the work - deep leanring model, LIDE-C establishing model, LIDE-C coding model. Finally, not only LIDE-C we utilize for the implementation, but also DICE we apply for validation and verification. Both tools are incubated by DSPCAD at Maryland of University, and will be updated better in the future

    Wireless Sensor Data Logging System Design

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    Wireless Sensor Data Logging System Design is a standalone electronic sensor device that captures and stores data through wireless communication. This system comprises two main integrated components; the Radio Frequency module and the Microcontroller based system. The main goal of this project is to design and construct a data logging system that effectively monitors the device‟s measurement values. In real life applications, most data monitoring system is a passive system. This type of system requires manned guarding on site to manage the devices. Therefore, a standalone data logging system offers a better enhancement system to replace the manned guarding method. The standalone data logger system can be applied by leaving the device alone in any place that requires the measurement of humidity and temperature. These data can be retrieved from EEPROM and transferred to a PC whenever needed by a user. A radio frequency module enables these data travels through wireless transmission medium, whereas the serial communication interface enables communication between the devices and PC. For diverse applications, an alarm system can be implemented if assets and security are the major concerns. The final report presents the development of a data logger system which is an integration of radio frequency module and the microcontroller-based system. The system monitors the device‟s measurement value via a Graphical User Interface. Basically, the system introduces a RF module to replace the hard wired scheme and produce a dynamic data transmission system. It is geared up with a PIC16F877A microcontroller to drive the outputs besides providing communication between devices and a PC. Overall, the project is the best platform to improve the traditional monitoring system and ignites another innovative invention in the future

    Context-aware gestural interaction in the smart environments of the ubiquitous computing era

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    A thesis submitted to the University of Bedfordshire in partial fulfilment of the requirements for the degree of Doctor of PhilosophyTechnology is becoming pervasive and the current interfaces are not adequate for the interaction with the smart environments of the ubiquitous computing era. Recently, researchers have started to address this issue introducing the concept of natural user interface, which is mainly based on gestural interactions. Many issues are still open in this emerging domain and, in particular, there is a lack of common guidelines for coherent implementation of gestural interfaces. This research investigates gestural interactions between humans and smart environments. It proposes a novel framework for the high-level organization of the context information. The framework is conceived to provide the support for a novel approach using functional gestures to reduce the gesture ambiguity and the number of gestures in taxonomies and improve the usability. In order to validate this framework, a proof-of-concept has been developed. A prototype has been developed by implementing a novel method for the view-invariant recognition of deictic and dynamic gestures. Tests have been conducted to assess the gesture recognition accuracy and the usability of the interfaces developed following the proposed framework. The results show that the method provides optimal gesture recognition from very different view-points whilst the usability tests have yielded high scores. Further investigation on the context information has been performed tackling the problem of user status. It is intended as human activity and a technique based on an innovative application of electromyography is proposed. The tests show that the proposed technique has achieved good activity recognition accuracy. The context is treated also as system status. In ubiquitous computing, the system can adopt different paradigms: wearable, environmental and pervasive. A novel paradigm, called synergistic paradigm, is presented combining the advantages of the wearable and environmental paradigms. Moreover, it augments the interaction possibilities of the user and ensures better gesture recognition accuracy than with the other paradigms

    A Case Study for Financial Feasibility of Automated Costing Support in A Small Machine Shop

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    A knowledge-based cost estimating expert system is chosen by a Mexican machine shop. Differences between the traditional experience-based system employed and the automated system are studied. Data is gathered to analyze time effectiveness, accuracy and payback of the software. Data from seventy part models is recorded to study the time experiment, and data from fifty part models is used to study the accuracy and consistency. Data is analyzed by calculating mean, standard deviation, and test of hypothesis. The results indicate that the software is faster than the traditional quoting system; however, the payback point is high. Also, results show the software has a smaller average time-to-manufacture percentage difference between the automated system and the actual time-to-manufacture (TTM) compared to the percentage difference between the traditional’s TTM and actual TTMs, and this difference is statistically significant. The standard deviation for the automated system is also less implying better consistency

    The Roles of Information Technology in Islamic Bank Knowledge Management: A study of Two Syariah Banks in Palu

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    Information technology has been considered as a vital tool  for modern organizations  to support their knowledge management projects. Previous studies have found that success knowledge management projects were supported by various information technology infrastructures. They addressed how information technology has succesfully implemented to support knowledge management project within conventional banks. However, limited study has been proposed regarding how information technology play roles in support knowledge management project within Islamic banks. Through the case study approach, the author studied the use of information technology for knowledge management process within two Bank Syariah (Bank Mandiri and Bank BNI Syariah) in Palu Central Sulawesi. The author collected data through observation, written material, and  in-depth interviews with key informants from both banks. The findings show that information technology infrastructures have played important roles in support knowledge management projects within the Islamic banks. Those information technology infrastructures includes internet, intranet, websites, communication application such as email, and social media.  This study sheds light and provides new insight on how information technology has succesfully used to support knowledge management within Islamic banks. The results benefits both academic and practioners in Islamic banks and knowledge managemet area. As the social media was an important finding for knowledge management in Islamic banks,  future research need to focus on how social media should be used for knowledge management projects in Islamic bank

    Uncertainty-wise Test Case Generation and Minimization for Cyber-Physical Systems

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    Cyber-Physical Systems (CPSs) typically operate in highly indeterminateenvironmental conditions, which require the development of testing methods that must explicitly consider uncertainty in test design, test generation, and test optimization. Towards this direction, we propose a set of uncertainty-wise test case generation and test case minimizationstrategies that rely on test ready models explicitly specifying subjective uncertainty. We propose two test case generation strategies and four test case minimizationstrategies based on the Uncertainty Theory and multi-objectivesearch. These strategies include a novel methodology for designing and introducing indeterminacy sources in the environment during test execution and a novel set of uncertainty-wise test verdicts. We performed an extensive empirical study to select the bestalgorithm out of eight commonly used multi-objective search algorithms, for each of the four minimizationstrategies, with five use cases of two industrial CPS case studies. The minimizedset of test cases obtained with the best algorithm for each minimizationstrategy were executedon the two real CPSs. The results showed that our best test strategy managed to observe 51% more uncertainties due to unknown indeterminate behaviorsof the physical environmentsof the CPSs as compared to the other test strategies. Also, the same test strategy managed to observe 118% more unknown uncertainties as compared to the unique number of known uncertainties.submittedVersio
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