Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Success Determinants of Traditional Handicrafts Transformation in To Creative Industry : Studies on Bamboo Creative Industries in West Java Province , Indonesia

s Bamboo products are types of handicraft products that have been long known by people in Indonesia and are now more varied in functional and/or artistic aspects. Therefore bamboo industry in West Java has transformed into one of the renowned creative industries, besides that West Java is also known as centre of bamboo plantation. These bamboo products are handicraft products, wicker, bamboo house, furniture and traditional musical instruments. The success of this transformation can be evaluated on the performance, internal and external factors and its relationship and overall on industry competitiveness. Based on Man and Chan’s Approach (2002) in Jones and Tilley (2003), the dynamic nature of competitiveness can be identified based on competence: opportunity, relationship, conceptual, organizational, strategic and commitment, associated with external factors such as: market heterogeneity, technological sophistication, market attractiveness, industrial product life cycle, market demand, and competitive concentration. The results showed that bamboo musical instruments, bamboo house and furniture were in better performance than crafts and wicker. Musical instruments are most prominent in terms of performance, process/competence and external factors. In the case of bamboo creative industries in West Java, it can be concluded that the success of the of the traditional bamboo product performance is determined by the dimensions of excellence in process, especially on the commitment and ability of the industry to respond to external factors, market heterogeneity and attractiveness.
) Title : Structural CNT Composites Part I : Developing a Carbon Nanotube Filament

Carbon nanotube (CNT) based materials promise advances in the production of high strength and multifunctional components for aerospace and other applications. Specifically, in tension dominated applications, the latest CNT based filaments are yielding composite properties comparable to or exceeding composites from more established fibers such as Kevlar and carbon fiber. However, for the properties of these materials to be fully realized at the component level, suitable manufacturing processes have to be developed. These materials handle differently from conventional fibers, with different wetting characteristics and behavior under load. The limited availability of bulk forms also requires that the equipment be scaled down accordingly to tailor the process development approach to material availability. Here, the development of hardware and software for filament winding of carbon nanotube based tapes and yarns is described. This hardware features precision guidance of the CNT material and control of the winding tension over a wide range in an open architecture that allows for effective process control and troubleshooting during winding. Use of the filament winder to develop CNT based Composite Overwrapped Pressure Vessels (COPVs) shall also be discussed.
Help, I Am Going to Have Ercp. Should I Be Worried About The Endoscope…..or The Anesthetic?

Submit Manuscript | http://medcraveonline.com J Anesth Crit Care Open Access 2015, 2(6): 00076 exposures have been identified, at least two fatalities noted, and others are being closely monitored in-hospital for infection after ERCP performed with the prototypical endoscope used for the procedure (Olympus) [1]. Since 2012, similar outbreaks have been seen and reported in the lay press, most involving medical centers that provide the ERCP procedure on a high-volume basis. Up to 500,000 ERCP procedures are performed in the US on an annual basis. The difficulty seems to be that despite US Food and Drug Administration sanctioned procedures for sterilization of the device after an ERCP, there is a small “elevator” channel in the scope used for instruments and directing the scope that is not adequately accessed by sterilizing agents during the approved decontamination procedures.
An improved decomposition method for the analysis of production lines with unreliable machines and finite buffers

We consider production lines consisting of a series of machines separated by finite buffers. The processing time of each machine is deterministic and all the machines have the same processing time. All machines are subject to failures. As usually the case for production systems we assume that the failures are operation dependent. Moreover, we assume that the time to failure and the time to repair are exponentially distributed. To analyze such systems, an efficient decomposition procedure has been proposed by Gershwin and al. In general, this method provides fairly accurate results. There are however cases for which the accuracy of this decomposition method may not be so good. This is the case when the reliability parameters (mean times to failure and mean times to repair) of the different machines have different order of magnitudes. Such a situation may be encountered in real production lines. The purpose of this paper is to propose an improvement of Gershwin's original decomposition method that provides accurate results even in the above mentioned situation. The basic difference between the decomposition method presented in this paper with that of Gershwin is that the times to repair of the equivalent machines are modeled as generalized exponential distributions instead of exponential distributions. This allows us to use a two-moment approximation instead of a one-moment approximation of the repair time distributions of these equivalent machines. The new method is presented in the context of the continuous flow model. However, it is readily applicable to the synchronous model.
A Review of Checkpointing Strategies for Mobile Networks

Checkpoints are used to store the specific states of processes in stable storage. When distributed systems fail, the systems can recover to a global consistency state from specific checkpoints rather than the beginning states of all involved processes. There are many kinds of checkpointing strategies suggested for distributed systems. However, the existing checkpointing protocols proposed for the traditional distributed systems are not suitable for mobile networks due to the unique characteristics such as low storage capacity, limited bandwidth, frequent disconnection, etc. Therefore, some researchers have proposed many new checkpointing strategies for mobile networks. This paper intends to give a summary of
Dynamic Spectrum Access Network Simulation and Classification of Secondary User Properties

This thesis explores the use of the Naive Bayesian classifier as a method of determining high-level information about secondary users in a Dynamic Spectrum Access (DSA) network using a low complexity channel sensing method. With a growing number of users generating an increased demand for broadband access, determining an efficient method for utilizing the limited available broadband is a developing current and future issue. One possible solution is DSA, which we simulate using the Universal DSA Network Simulator (UDNS), created by our team at Virginia Tech. However, DSA requires user devices to monitor large amounts of bandwidth, and the user devices are often limited in their acceptable size, weight, and power. This greatly limits the usable bandwidth when using complex channel sensing methods. Therefore, this thesis focuses on energy detection for channel sensing. Constraining computing requirements by operating with limited spectrum sensing equipment allows for efficient use of limited broadband by user devices. The research on using the Naive Bayesian classifier coupled with energy detection and the UDNS serves as a strong starting point for supplementary work in the area of radio classification. This work was funded by the Rockwell Collins Advanced Technology Center of Cedar Rapids, IA.
SAPHIRE5.12. Systems Analysis Programs for Hands-On Integrated Reliability Evaluations

SAPHIRE5.12 is a collection of programs developed for the purpose of performing those functions necessary to create and analyze a complete Probabilistic Risk Assessment (PRA). The programs included in this suite are the Integrated Reliability and Risk Analysis System (IRRAS) Version 5.0, the System Analysis and Risk Assessment (SARA) system Version 5.0, the Models And Results Database (MAR-D) system Version 5.0, and the Fault tree, Event tree, and P and ID (FEP) editors Version 5.0. Previously these programs were released as separate packages. These programs include functions to allow the user to create event trees and fault trees, to define accident sequences and basic event failure data, to solve system and accident sequence fault trees, to quantify cut sets, and to perform uncertainity analysis on the results. Also included in this program are features to allow the analyst to generate reports and displays that can be used to document the results of an analysis. Since this software is a very detailed technical tool, the user of this program should be familiar with PRA concepts and the methods used to perform these analyses.
An efficient algorithm for encoding and decoding of raptor codes over the binary erasure channel

As the most advanced rateless fountain codes, Systematic Raptor codes has been adopted by the 3GPP standard as a forward error correction scheme in Multimedia Broadcast/Multicast Services (MBMS). It has been shown to be an efficient channel coding technique which guarantees high symbol diversity in overlay networks. The 3GPP standard outlined a time-efficient maximum-likelihood (ML) decoding scheme that can be implemented using Gaussian elimination. But when the number of encoding symbols grows large, Gaussian elimination need to deal with a large matrix with O (K3) binary arithmetic operations, so the larger K becomes, the worse ML decoding scheme performs. This paper presents a better time-efficient encoding and decoding scheme while maintaining the same symbol recoverable performance, this encoding and decoding scheme is named Rapid Raptor Code. It will be shown that the proposed Rapid Raptor code Scheme significantly improves traditional Raptor codes' efficiency while maintaining the same performance.
Semi-Supervised Learning Classifier System Based on Bayes

The high interpretability and the extraordinary evolvability of learning classifier system make it the optimal choice to build an adaptive intelligent system, and UCS is one of its branches, which is especially designed for the supervised learning tasks. However usually there is a huge amount of unlabeled data that are helpful for the increasing of its accuracy. Hence we use the EM algorithm in Semi-supervised learning as a reference, and proposed a Semi-Supervised Classifier system (SUCS) based on Bayes inference. The experiments we did using the UCI dataset showed that SUCS performed a much better accuracy than UCS by use of only a small number of labeled data and a large number of unlabeled data.
Natural Language Processing as a Foundation of the Semantic Web

The main argument of this paper is that Natural Language Processing (NLP) does, and will continue to, underlie the Semantic Web (SW), including its initial construction from unstructured sources like the World Wide Web (WWW), whether its advocates realise this or not. Chiefly, we argue, such NLP activity is the only way up to a defensible notion of meaning at conceptual levels (in the original SW diagram) based on lower level empirical computations over usage. Our aim is definitely not to claim logic-bad, NLP-good in any simple-minded way, but to argue that the SW will be a fascinating interaction of these two methodologies, again like the WWW (which has been basically a field for statistical NLP research) but with deeper content. Only NLP technologies (and chiefly information extraction) will be able to provide the requisite RDF knowledge stores for the SW from existing unstructured text databases in the WWW, and in the vast quantities needed. There is no alternative at this point, since a wholly or mostly hand-crafted SW is also unthinkable, as is a SW built from scratch and without reference to the WWW. We also assume that, whatever the limitations on current SW representational power we have drawn attention to here, the SW will continue to grow in a distributed manner so as to serve the needs of scientists, even if it is not perfect. The WWW has already shown how an imperfect artefact can become indispensable.
Collaborative Work Heterogeneous Data Sharing and Application Based on Petri Net

Based on profound research of the characters on Petri Net, the concept of collaborative work heterogeneous data sharing (CWHDS) was proposed, and elaborated the modeling processes of CWHDS based on Petri Net. Furthermore, this paper used heterogeneous data queue to serve as the access station of CWHDS, and further discussed the translation and firing rule on Petri Net in relation to heterogeneous data queue. Finally, an application instance of multi-disciplinary collaborative design management system (MCDMS) based on CWHDS was introduced.
Study on New Words and Their Evolutions

Language change is the manner in which the phonetic, morphological, semantic, syntactic, and other features of a language are modified over time. Vocabulary can change quickly as new words are borrowed from other languages, or as words get combined or shortened. Information and communication technologies (ICT) are one of the major driving forces in the process of globalization. This paper focuses on some lexicon changes over the last two decades. In particular, affixation, compounding, blending, and meaning shift are illustrated in detail.
Click here for VDSL2

VDSL2 (very-high-bit-rate digital subscriber line 2) will allow carriers to deliver 100 Mbit/s in both the upstream and downstream paths over existing copper infrastructure. It can theoretically deliver ten times more voice, data or crucially, video, than 'plain vanilla' ADSL. But this will only be possible over relatively short loops, with a theoretical limit of some 350 m. This is because the 30 MHz frequency required for the very high data rate falls off fairly rapidly with distance. Nevertheless, for a host of carriers in the Far East, notably South Korea and Japan, this is exactly what they need.
Nonlinearity calibrating algorithm for structured light illumination

Abstract. In structured light illumination (SLI), the nonlinear distortion of the optical devices dramatically ruins accuracy of three-dimensional reconstruction when using only a small number of projected patterns. We propose a universal algorithm to calibrate these device nonlinearities to accurately precompensate the patterns. Thus, no postprocessing is needed to correct for the distortions while the number of patterns can be reduced down to as few as possible. Theoretically, the proposed method can be applied to any SLI pattern strategy. Using a three-pattern SLI method, our experimental results will show a 25× to 60× reduction in surface variance for a flat target, depending upon any surface smoothing that might be applied to remove Gaussian noise.
A Follow-up Review of Contributions by Australian Research Institutions Into Speech Processing : 2006-2008 Executive Summary

This report is a survey of contributions by various research institutions within Australia into several key applications of speech processing, with particular focus on recent contributions (i.e. 2006 or later). It is a continuation of an earlier report, and is intended to give an overview of where a number of significant research institutions stand in relation to what they achieved for the period 2004-5. For each application, a number of research directions from Australian research institutions are identified and discussed in some detail. Some institutions such as QUT and UNSW have achieved state-of-the-art performance. APPROVED FOR PUBLIC RELEASE
Design of Dynamic Latched Comparator with Reduced Kickback Noise

Dynamic latched comparators are used because they use two back-to-back cross coupled inverters to convert a small input voltage difference to a supply voltage level in a short time, which is known as positive feedback technique. Here we adopted a technique to reduce kickback noise produced by regenerative nodes of dynamic comparator. Our reduction technique uses Exclusive OR gate in between regenerative nodes and inputs which will avoid to interfere inputs with noise. To present our results with existing systems we used Mentor Graphic Tool for simulation purpose. The proposed design can be used for the application of SAR ADC in Implantable Biomedical Devices.
Colorimetric Calibration of a Video Digitizing System: Algorithm and Applications

Obtaining accurate colorimetric information about color samples may seem to be a hopeless task unless we have access to elaborate spectroradiometers and sophisticated illumination standards. However, it is possible to obtain very good estimates of chromaticity values even if we use broad-band devices such as color video cameras, provided that we have a reliable way of estimating their color and luminance biases.
AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES

Automatic spoken language recognition refers to a sequence of processes aim to transfer human perception ability of identifying spoken languages to machine using computer program. In spite of great achievements in the domain, the task is still challenging to be practically efficient and reliable. This paper run throughout decades of research attempts approaching optimal languages identification accuracy comparable to human ability of identifying spoken language. Analysis methodologies of extracting most relevant speech information were reviewed. Achievements of approach based on language dependent linguistics rules and those based only on spectral attributes conveys in speech signal were investigated and compared. Exists of standard multilingual speech corpora offers evaluation and comparison of varies speech analysis methods and classification algorithms in single speech variability effects environment. In spite of great achievements, this demanding multilingual communities' communication solution, still looking flexible model easily accepting new language, shorten recognition time, overcoming difficulties of dialects and accents variations and mixed languages speech recognition.
Achieving database accountability and traceability using the bitemporal relation

Database systems have become the most crucial constructing components of data stores underlying modern application systems. Popular role-based access control model by Sandhu R.S. and E.J. Coyne proposed a way to manage users' access rights. However, employees playing several roles sometimes acquire access rights above their duties. These employees, for their own benefits, are capable of accessing data illegally, modifying or inserting data temporary then illegally outputting data, and finally changing data back to their original status that satisfy integrity of database contents. Usually databases are updated through record overwriting or deleting and are difficult to trace each user transaction. Hence, owners of these database systems, potentially, might become victims of data temporary misuse by criminals. Ooi, Goh, and Tan proposed a dimension space transformation concept based on indexing bitemporal databases1998, which states the concept of transforming one-dimensional time domain to two-dimensional x-y coordinates. We first study state-of-the-art of access control methods, then address role conflicts in access rights, and finally discuss the Bitemporal relation with valid and process time attributes. We further propose an approach, recording database usage trails and transparent to general users, to accomplish all record queries and changes, including insertion, deletion, modification, and retrieving, referenced Ooi, Goh, and Tan's work. Hopefully, this approach might facilitate achieving forensic objects of database traceability and accountability.
Application of the Transformation through Dynamic Interconnectivity Model

The original conceptual model of MathWorld, a math support program at St. Philip’s College, represented the researcher’s hypothesis of this program before conducting the study. Additionally, the model was a way of organizing the types of skills (hard, soft, critical thinking, and confidence/selfefficacy) in which the math support specialists and math faculty can assist students. Upon completion of the data collection and analysis, however, the researcher discovered that the original model needed adjusting. MathWorld’s reconceptualized model makes reference to emotional support and places emphasis on the activities connected to the aforementioned skills. The Transformation through Dynamic Interconnectivity (TDI) model is similar to the Reconceptualization of MathWorld’s model because it encompasses: (a) the same core practices (cultivating content-specific skills, supporting life skills, and providing holistic interventions), (b) the same categories of skills (hard, soft, critical thinking, confidence-building, and emotional support), and (c) the same characteristics of the core practices (processing information, demonstration, and connection). However, the integration of the aforementioned components creates the secret sauce of transformation through dynamic interconnectivity, which can be applied to a variety of subject areas, professional settings, and personal situations. The following sections provide an example of how the TDI Model can be utilized in the following settings: (a) subject area, (b) professional, and (c) personal. For each example, the supporting role players, in addition to the characteristics of each core practice, are identified. While this study specifically addressed developmental math, the core practices of the conceptual model are not limited to this subject area. Although this study comprised a community college, the core practices of the conceptual model are not limited to an educational setting. Whereas this study included lived experiences in a public location, the core practices of the conceptual model can also be practical in personal arenas.