Miracle-dz/UniFAR-FTUs huggingface dataset:
TEKNOLOGI LOAD BALANCING UNTUK MENGATASI BEBAN SERVER

Load Balancing adalah proses pendistribusian beban terhadap sebuah servis yang ada pada sekumpulan server atau perangkat jaringan ketika ada permintaan dari pemakai. Ketika banyak permintaan dari pemakai maka server tersebut akan terbebani karena harus melakukan proses pelayanan terhadap permintaan pemakai. Solusi yang cukup bermanfat adalah dengan membagi-bagi beban yang datang ke beberapa server, Jadi tidak berpusat ke salah satu perangkat jaringan saja. Teknologi itulah yang disebut Teknologi Load Balancing. Dengan Teknologi Load`Balancing maka dapat diperoleh keuntungan seperti menjamin reabilitas servis, availabilitas dan skalabilitas suatu jaringan. Kata Kunci: Load Balancing, jaringan, server, pemakai, beban.
A neural network approach for preclassification in musical chords recognition

Automatic music transcription is a complex task involving signal processing, pattern-matching, signal classification, and the integration of musical knowledge. Existing systems use both bottom-up and top-down approaches. Their performance is determined by the parameters extraction algorithms and the number of different patterns to discriminate. We propose a neural network based preclassification approach to allow a focused search in the chords recognition stage. The specific case of the 6-string standard guitar is considered. The preclassification algorithm outputs the number of strings in a chord and the estimated hand position on the guitar neck.
A Quick Survey on latest Content Based Image Retrieval Systems(CBIRS)

The development of network and multimedia technologies are becoming popular and with the growing quest users are not satisfied with the traditional retrieval techniques. (CBIR) is aimed at efficient retrieval of relevant images from large image databases based on automatically derived image features.The virage system allows queries to be built by combining color, colour layout, texture, and object boundary information. The original Query by Image Content (QBIC) system allowed the user to select the relative importance of color, texture, and shape. This paper provides the survey of technical achievements in the research area of image retrieval, especially content based image retrieval(CBIR). Color and texture are commonly used in most of the CBIR system for finding similar images from the database to a given query image. In the implemented system color and texture are used as basic features to describe all the images. It also introduced the feature like neuro fuzzy technique for accurate and effective Content Based Image Retrieval System(CBIR).
Software Project Effort Estimation: Foundations and Best Practice Guidelines for Success

Software effort estimation is one of the oldest and most important problems in software project management, and thus today there are a large number of models, each with its own unique strengths and weaknesses in general, and even more importantly, in relation to the environment and context in which it is to be applied.Trendowicz and Jeffery present a comprehensive look at the principles of software effort estimation and support software practitioners in systematically selecting and applying the most suitable effort estimation approach. Their book not only presents what approach to take and how to apply and improve it, but also explains why certain approaches should be used in specific project situations. Moreover, it explains popular estimation methods, summarizes estimation best-practices, and provides guidelines for continuously improving estimation capability. Additionally, the book offers invaluable insights into project management in general, discussing issues including project trade-offs, risk assessment, and organizational learning.Overall, the authors deliver an essential reference work for software practitioners responsible for software effort estimation and planning in their daily work and who want to improve their estimation skills. At the same time, for lecturers and students the book can serve as the basis of a course in software processes, software estimation, or project management.
Learning Objects: Resources For Distance Education Worldwide

This article discusses the topic of learning objects in three parts. First, it identifies a need for learning objects and describes their essential components based on this need. Second, drawing on concepts from recent developments in computer science, it describes learning objects from a theoretical perspective. Finally, it describes learning objects in practice, first as they are created or generated by content authors, and second, as they are displayed or used by students and other client groups.
Compartmental system analysis: Realization of a class of linear systems with physical constraints

This paper considers the compartmental system analysis from the system theoretic point of view. The specific problem treated here is that of realization of rational transfer function in the form \dot{x} (t) = Ax(t)+ bu(t), y(t)= c' x(t) . This problem, however, differs from the usual one in that physical consideration of the compartmental system naturally leads to a set of constraints on the realization. Specifically the matrix A is required to satisfy a preassigned sign pattern as well as a diagonal-dominant condition. Realizability conditions and the characterization of minimal realization are discussed in detail. Counter examples are constructed to show that the minimal dimension does not coincide with the McMillan degree of the transfer function. Necessary and sufficient conditions for realizability are obtained when i) the degree of the transfer function is equal to or less than three or ii) the graphical structure of the compartment system is of noncyclic tree type.
CONSTRUCTING OF PSEUDOINVARIANTS AND DIGITAL WATERMARKING OF SPEECH SIGNALS BASED ON A SINGULAR VALUE DECOMPOSITION

Presented digital watermarking method of speech signals based on a constructing of quasistationary intervals, pseudoinvariants and singular value decomposition. Proposed a solution to the problem of building quasistationary intervals of speech signal. This method is based on the characteristics of singular value decomposition of square matrices of operators defined on the elementary intervals. Feature of these methods is their independence from the model voice tract. Watermarking method not dependent on input signal and watermark itself.
Copying prosodic constituents

The weight of a syllable-sized reduplicant is never dependent on the syllabification of the base — that is, no language has a reduplicative morpheme that copies a coda in [pat-pat.ka] but no coda in [pa-pa.ta]. Yet this behavior is attested in the second syllable of foot-sized reduplicants: [pa.ta-pa.ta. ka], [pa.tak-pa.tak. ta]. Why is dependence on base syllabification possible in foot-sized reduplicants, but not in syllable-sized ones? This article provides an answer to that question in the form of a novel theory of reduplication called Serial Template Satisfaction (STS), which is situated within Harmonic Serialism (a derivational variant of Optimality Theory). In STS, a reduplicative template of type X can be filled by copying constituents of type X-1 from the base. A foot-sized reduplicant can be filled by copying syllables, but not a syllablesized reduplicant, which must be filled by copying segments. Lacking base-reduplicant correspondence constraints, STS has no way of forcing segment copying to depend on base syllabification, so it cannot produce the unattested pattern. This article also fleshes out STS as a general theory of reduplication that can be compared to other approaches in Optimality Theory and rule-based phonology. Phenomena discussed include reduplicant size, locality, and identity of base and reduplicant.
Optimal feedforward tracking control of linear motors for machine tool drives

Direct drive linear motors have potential for use as next generation machine tool feed drives since they can increase machining rates and improve servo accuracy by eliminating gear related mechanical problems. This paper investigates the use of optimal l/sub 1/ and H/sub /spl infin// model reference optimal feedforward control to enhance the tracking performance of a linear motor servo. Experimental work is presented which studies the effects of signal preview, tracking constraint, and reference model choice on tracking performance. Sub-optimal l/sub 1/ control in the case where the closed loop system has a zero on the unit circle due to feedback integral action is seen to give near optimal performance for the system under study here. For the specific reference trajectory employed, the best performing feedforward controllers were experimentally seen to reduce the maximum and rms tracking errors of the (feedback only) closed loop system by more than half.
Agent Based Framework for Energy Distribution and Qos in Wireless Sensor Networks

ABSTRACT Wireless Sensor Networks are consisted of sensor nodes that communicated with each other to transmit information. Because sensor nodes have physically many limits, wireless sensor networks are hard to adopt for traditional networks. Transmissions are consumed most energy of sensor nodes. That's why energy-efficient transmission techniques and QoS support techniques for different kind of data are most important in wireless sensor networks. The thesis proposes the agent based framework for energy distribution and QoS in wireless sensor networks. Agents have its own behavior policy by means of a gene, which is optimized by genetic operations. Agents behavior to distribute energy consumption over sensor nodes. Simulation results show that the enhanced framework extends the lifetime of sensor nodes. Successful transmission ratios of emergency data and non emergency data are increased by 27% and 14%, respectively. Also, the results demonstrate that Qos of networks are improved.Keywords:Sensor Network, MONSOON, QoS
The Website Design and Usability of US Academic and Public Libraries

This paper describes the results of a nationwide study which examined the design, layout, content, site management, and usability of 1,469 academic and public library websites from all 50 states in the United States. Our findings show common trends for homepage design, navigation, and information architecture. Library websites were found to consistently provide information about hours of operation (97.9 percent), library address (91 percent), news and events (88.9 percent), access to OPACs (84.6 percent), online renewal (77.7 percent), contact information (72.5 percent), and ability to give feedback (74.2 percent). Websites were mainly designed (33 percent) and managed (50 percent) by librarians as part of their professional job duties and the majority did not conduct any web usability testing (72.3 percent). This study provides a profile of how the nation’s academic and public libraries design and manage their websites and how this compares to recommended best practices from the research literature. Library websites rated high in general usability based on recognized heuristics; however, a need to conduct usability evaluations remains. A basic set of guidelines for library webpage design is proposed.
An Improved QoS Routing Algorithm in Internet

An Efficient Routing Algorithm for Improving the QoS in Internet has been proposed and presented in this paper. The algorithm is a kind of Multi Constrained Path algorithm. The routing take place based on more than one link weight components. To avoid the NP complete problem and to increase the computational efficiency some advancement are added. These include the definition of Non Linear Path Length, where the sub paths may not be the shortest path, having k no of shortest paths in a node instead of having only the shortest path, then removing the path dominancy for state space reduction. As a last the concept look ahead is also included through which a predicted path to destination is mapped. This work only implements the removal of path dominancy where the queue is updated by removing the dominated paths from the queue. The simulation is also showing the better performance of the system.
Reduced state computation of distance spectrum for certain optimal convolutional codes

For the class of rate 1/2 N-state linear convolutional codes with complementary structure, which includes all of the presently known optimal codes, the authors show that no more than 3N/4 states are required to compute d/sub free/ and the distance spectrum. Similar state reductions can also be achieved (although to a smaller extent) for rate 1/n codes, n even. A recursive algorithm is presented for distance spectrum calculation using the reduced state transition matrix.
Improving Student Revising and Editing Skills through the Use of Peer Editing and Writing Conferencing.

This report describes instructional strategies that will improve the revising and editing skills of sixth grade students during the writing process. The literature review suggested improved instruction and evaluation through a writer's workshop approach, which would include a positive environment, mini-lessons, teacher modeling, peer editing, and student/teacher conferencing. This researcher focused specifically on peer editing and student/teacher conferencing. A survey was administered to all language arts teachers at the site during the last week of August. Also during this week, students were given a survey to fill out regarding their attitude toward writing. After drafting a writing sample the first week of September, students were evaluated with two rubrics by the researcher. During the first week of December, an identical survey was given to the students, and a second writing sample was evaluated according to the same rubrics. Post intervention data indicated an increase in student achievement. Improvement was shown in all areas of content and mechanics. In addition, attitude data showed an increase in the understanding of the revising and editing phases of the writing process. After the four-month study, students showed growth in understanding the process of writing, and spent more time on the revising and editing phases. This increased time resulted in overall improvement of their written work. (Contains 32 references and 21 figures. Three appendixes contain the following: the teacher and student surveys; Narrative Writing Rubric; Mechanics Writing Rubric; the baseline writing prompt and post writing prompt; lesson plans; a peer editing guide; and a conferencing checklist.) (PM) Reproductions supplied by EDRS are the best that can be made from the original document. IMPROVING STUDENT REVISING AND EDITING SKILLS THROUGH THE USE OF PEER EDITING AND WRITING CONFERENCING U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) O This document has been reproduced as received from the person or organization originating it. O Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. Ann Kolling 1 PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY
Text retrieval and filtering: analytic models of performance

Preface. 1. Introduction. 2. Quantitative Reasoning. 3. Similarity and Retrieval Decisions. 4. Measuring Performance. 5. The Quality of A Ranking Method. 6. Performance with One Term. 7. Multivariate Probabilities. 8. Performance with Multiple Terms. 9. Logics and Rules. 10. Linguistic Knowledge. Bibliography. Index.
Multithreaded self-scheduling: application of multithreading on loop scheduling for distributed shared memory multiprocessor

A new loop scheduling scheme called multithreaded self-scheduling (MSS) for distributed shared memory multiprocessor is proposed. Based on the principles of multithreading, MSS attempts to hide the remote memory access latencies by switching between multiple contexts of threads. Consequently, loops scheduled by using MSS can obtain better performance comparing to the single-thread approaches. In this paper a series of simulation results corresponding to various parameter changes are presented, which provides a measure of the effectiveness of MSS under different boundary conditions and suggests the ways for further improvements. <<ETX>>
Network processor design: issues and challenges

Since the deployment of the ARPANET in the 60s and the local area networks, Intranets, and the Internet in the 70s and 80s, research investigation and commercial product developments have focused on network infrastructures such as fiber trunks, routers, and switches, as well as OSI layers 2 and 3 protocol equipment. Recently, in response to the increasing complexity of the communication protocols and exploding demand for functionalities in network active components, chip manufacturers and researchers recently shifted their effort to the design and implementation of NPUs (network processing units). This work investigates the characteristics and properties of network applications and protocols. Understanding the requirements of these applications and protocols enables the formulation of the overall objectives and specifications in the design of NPUs. Some of the existing commercial products are surveyed and their functional objectives and design approaches are examined. We conclude with the current status of NPU development. Immediate challenges in design and implementation of NPUs, with respect to the rapid network expansion and increasing traffic demand, are also discussed.
Robust subband video coding with leaky prediction

The use of leaky prediction in a video transmission system designed for noisy channels is investigated. For the proposed system, graceful degradation is achieved by finding good index maps between the quantized source coder parameters and the amplitude levels of a QAM signal constellation. The paper, however, investigates the use of leaky prediction to further increase the robustness to channel noise. It is shown that by using a temporal prediction coefficient slightly less than one, large improvements can be achieved with only a small degradation for the noiseless case. The performance of the proposed system is comparable to a reference system based on the H.263 video coder for high CSNR values, and degrades far more gracefully for low CSNR values.
Relational and non-relational database efficiency comparision with DNA microarray data storing

The paper compares the efficiency of two versions of database management systems from the possibility of using them in storing data from DNA microarray point of view. In comparative analysis 3 methods of storing data were taken into account: basing on non-relational model (noSQL) and the method of storing microarray data according to the relational model called entity-attribute-value. Microsoft SQL Server 2012 system was used to implementation of relational database. Implementation of non-relational database was performed in Raven DB. Evaluation of efficiency of each of the method of storing data was based on CPU sampling using Micrisoft Visual Studio Profiler.
Feature selection and classification of non-traditional data : examples from veterinary medicine

Early diagnosis of notifiable diseases in the veterinary domain is important with regard to agriculture, the health sector and the economy. With no diagnostic test in the live animal for either BSE or Scrapie many cases may be mis-diagnosed. Traditionally, data for pattern recognition is stored as recorded cases of interest either labelled with their outcome (suitable for supervised classification) or unlabelled. Each case is described by a collection of symptoms, recorded as present / absent. These are called "binary features". In the case of medical data, the amount of cases recorded in this way may be limited for many reasons. To overcome this lack of data expert-estimated probability tables have been proposed as a substitute. These "non-traditional" tables contain the estimated percentage frequencies of clinical symptoms in various diseases. The construction of the tables assumed that the clinical signs (features) were independent given the diseases (classes). Given the "non-traditional" data, various feature selection techniques were applied and compared in this study in order to select a reduced subset of features (symptoms). The potential, limitations and stability of Sequential Forward Selection (SFS) in particular, were investigated. Decision trees and Naive Bayes classifier models were applied for the diagnosis task. The apparent success and stability of Naive Bayes in the medical domain led to an indepth investigation of the effects of this type of data and its inherent assumptions on the model. Naive Bayes is known to be optimal in the case of independent features, which is the condition assumed by the estimated probability tables in the "non-traditional" data. Various proposed adaptations to the Naive Bayes model were investigated with regard to their optimality when the independence assumption is violated. Finally, the performance of Naive Bayes with regard to traditionally stored medical data with binary features was assessed. Naive Bayes and its adaptations performed well with the traditional data. Since the effect of assuming independence when it is not true is minimal, using the "non-traditional" data with the Naive Bayes classifier can be a practical solution for veterinary diagnosis.
Open sesame from top of your head-an event related potential based interface for the control of the virtual reality system

We proposed a new concept of medical care system, named the "hyper hospital" which is constructed in computer based electronic information network. It is built as a distributed system on the network and consists of all kinds of conventional medical care facilities in both the real and the imaginary spaces. The virtual space of the hyper hospital and private information are owned and exclusively controlled by the patient, thus the maximum protection of the privacy of the patients can be observed. In the hyper hospital, an innovative human interface must be required for the consultation, treatment and other communication to the medical staff. This is especially true if the users are of severely disabled patients. The purpose of the present study is to establish a new human interface based on the event related potential, which enables those kind of patients to communicate with others including medical care staffs without any physical actions. <<ETX>>
Very high resolution polarimetric L, S, C and X-band 3D SAR imagery of the scattering characteristics of wheat canopies

Adoption of radar remote sensing for crop management is restricted because of our present limited understanding of the biological significance of the radar returns. This work seeks to further its use by identifying the potential of radar sensors for measuring key physiological crop parameters such as green area index, ear biomass, and total crop biomass. The detailed laboratory studies were carried at the NERC GB-SAR indoor anechoic chamber facility at Sheffield University. The studies were made on two outdoor container-grown mature spring wheat canopies in July, at a stage in the growing season identified as being of agronomic interest. Very high-resolution 3D SAR imagery of the wheat was obtained at L-, S-, C- and X-band, along with detailed complementary physiological measurements. The imagery illustrates the scattering behaviour within the canopy volume and its dependence upon the choice of radar polarisation and frequency.