Miracle-dz/UniFAR-FTUs huggingface dataset:
Overview of exploratory research in soft computing applications to power systems at the Electric Power Research Institute

Soft computing might be characterized as automated intelligent estimation. It is intended to provide an alternative to more conventional "hard" computing that allows for the formal and systematic treatment of problems which, due to their size, complexity or uncertainties, are otherwise not practical to process and solve. Ensuring the secure and efficient operation of electric power systems in an increasingly complex and uncertain future environment appears to be one such problem. Deregulation, competition, implementation of FACTS devices, and tightening environmental/land-use restrictions are expected to increase significantly the complexity of electric power system contingency planning and operations. Automated management of future power networks may be necessary for utilities to achieve-in real time-the most satisfactory compromise between adequate security and economically optimum operation. The Strategic Research and Development Activity within EPRI is exploring a number of soft computing approaches to enhance the coordination of system components so as to reduce outages, boost efficiency, enhance power quality, and gain maximum benefit from existing assets. These projects are being undertaken on behalf of the Institute's member utilities and in support of EPRI's internal business units who are charged with the ultimate development of useful products for those members.
Answering General Time Sensitive Queries

Clustering is one of the knowledge extraction techniques in data mining, now a days time relevance of retrieval query results takes more importance in search engines, because user gives importance to latest and relevant information. In this paper we are proposing an efficient technique clustering technique based on time sensitivity of the documents. Our experimental results show more accurate and efficient results than traditional approaches.
Non-referenced prefetch (NRP) cache for instruction prefetching

A new conceptual cache, NRP (nonreferenced prefetch) cache, is proposed to improve the performance of instruction prefetch mechanisms which try to prefetch both the sequential and nonsequential blocks under limited memory bandwidth. The NRP cache is used for storing prefetched blocks that were not referenced by the CPU. These blocks were discarded in previous prefetch mechanisms. By storing the non-referenced prefetch blocks in the NRP cache, both cache misses and memory traffic are reduced. A prefetch method to prefetch both the sequential and the nonsequential instruction paths is designed to utilise the effectiveness of the NRP cache. The results from trace-driven simulation show that this approach provides an improvement in memory access time compared to other prefetch methods. Particularly, the NRP cache is more effective in a lookahead prefetch mechanism that can hide longer memory latency. Also, the NRP cache reduces the additional memory traffic required to prefetch both instruction paths. This approach can achieve both improved memory access time and reduced memory traffic in a cost-effective cache design.
Human/robot interaction via the transfer of power and information signals

The issues of the dynamics and control of human-machine interaction in the sense of the transfer power and information signals are examined, and some research results are briefly summarized. The stability of the extender and human taken as a whole was considered. The small gain theorem was used to determine a sufficient condition for stability in the completely general, unstructured, nonlinear system. Then, a sufficient condition for stability for the linear, time-invariant, frequency-domain model was determined, using the multivariable Nyquist criterion. The stability conditions were given a physical interpretation, which shows that the limit on the gain of the compensator is dependent on the total compliance in the system. The effect of compensation on system performance was shown, indicating that it is desirable to have a large gain for the compensator. However, the stability condition places a limit on compensation, and thus there is a tradeoff between performance and stability. <<ETX>>
Team Transformational Leadership, Trust, Satisfaction, And Commitment: The Testing Of A Structural Equation Model In Software Development Teams

This paper studied the relationship among team transformational leadership, team trust, job satisfaction, and team commitment of the team members in software development teams in the United States of America. A total of 5,375 surveys were distributed and only 69 respondents completed the online survey. Based upon 65 validated respondents, this study conducted a confirmatory factor analysis and evaluated the direct and indirect weights of path coefficients among the latent variables at 5% level of significance. The results using path analysis indicate that team transformational leadership is strongly positively related to team empowerment (r= .86, p= .00) and team trust (r= .82, p= .00) in software development teams while team empowerment (r= .27, p=. 55) and team trust (r= .29, p= .55) are not related to job satisfaction in software development teams. There is a slight positive relationship between team job satisfaction and the team commitment (r= .18, p= .04).
Stabilization of systems with deadzone nonlinearity

This paper studies the stabilization of control systems with deadband nonlinearity of unknown characteristics. A novel approach to treat the deadband is first proposed using techniques of saturation compensation, assuming crude estimates of gains and bounds for the saturation limiter. Stability of the compensated system is analyzed, revealing that for systems of conditional stability in the presence of deadzone nonlinearity, their stabilization is not possible for small inputs. However, proper stabilization always exists for regulatory control of large enough input magnitude. Simulated examples are given to illustrate the main results.
In-orbit test result of an operational optical intersatellite link between ARTEMIS and SPOT4, SILEX

The Semi conductor Inter satellite Link EXperiment, SILEX, consists of two terminals, one terminal embarked on the French LEO observation satellite SPOT4 and one terminal embarked on ESA's GEO telecommunication satellite ARTEMIS. The objective of SILEX is to perform optical communication experiments in orbit and on an operational basis transmit SPOT4 Earth observation data to ARTEMIS, which will relay the data to ground via its Ka band feeder link. SPOT4 was successfully launched on 22nd March 1998. The ARTEMIS launch on 12th July 2001 left ARTEMIS in an orbit with too low apogee, necessitating orbit raising to a circular parking orbit, altitude 31000 km, using a large fraction of the chemical propellant on board. The remaining 5000 km to GEO stationary orbit will be achieved using the low thrust innovative electric propulsion system necessitating specific attitude control software. The final orbit raising will last about 6 months and the expected lifetime of ARTEMIS after station acquisition is 5 years. While waiting for the establishment of the new attitude control software and the beginning of the final orbit raising maneuvers a test program has been undertaken to characterize the performances of the SILEX system. Testing was performed every fifth day when ARTEMIS was visible over Europe. The test program involves Optical Ground Station acquisition and tracking, inter-satellite link acquisition and tracking, bit error rate measurements and transmission of Earth observation data. The paper reports on results of the in orbit testing, giving comparisons with predictions. The conclusion of the test program is that the SILEX system has excellent performances qualifying the system for operational use by SPOTIMAGE in parallel with a detailed technological experimentation program involving the two SILEX terminals, ESA's optical ground station on Tenerife, and also NASDA's OICETS, once ARTEMIS has acquired its final orbital position.
Microprocessor smart cards with fingerprint user authentication

Due to the great increase in information technology systems where user authentication is needed, security relies on using PINs or passwords. The scientific community is trying to improve biometric techniques in order for them to be accepted as an alternative to other user authentication schemes. One sector where user identity must be verified is identification cards. In fact, if high level security is to be achieved, smart cards should be used, but cardholder verification is performed using CHV-keys, which are PIN-based. The authors are trying to integrate fingerprint verification inside a smart card. A fingerprint scheme is shown, and work to achieve integration inside a commercial smart card is discussed.
Dexterous Workspace of N-PRRR Planar Parallel Manipulators

In this work, a method is presented to geometrically determine the dexterous workspace boundary of kinematically redundant n-PR RR planar parallel manipulators. The dexterous workspace of each non-redundant RRR kinematic chain is first determined using a four-bar mechanism analogy. The effect of the prismatic actuator is then considered to yield the workspace of each PRRR kinematic chain. The intersection of the dexterous workspaces of all the kinematic chains is then obtained to determine the dexterous workspace of the planar n-PR RR manipulator. The Gauss Divergence Theorem applied to planar surfaces is implemented to compute the total dexterous workspace area. Finally, two examples are shown to demonstrate applications of the method.Copyright © 2010 by ASME
Realtime synthesis of moving human-like agent in response to user's moving image

Describes a parallel computing system and a software algorithm for realtime interaction between a human user and a synthesized moving humanlike image or agent. The realistic human-like agent appearing on a display can recognize the palm position and finger motion (finger sign) of the human user, then tracks and gazes at the hand position and changes his/her facial expression in response to the recognized finger sign in realtime. This kind of interactive agent is expected to play an important role in advanced human interfaces. To realize realtime image recognition and image synthesis, a parallel image processing and synthesis system named 'TN-VIT' has been developed. <<ETX>>
Performance evaluation of VoIP in MANET

MANET networks are an attractive option for VoIP solutions in scenarios that are characterized by the mobility of nodes and where there is not a previously established infrastructure. However, the voice support faces more rigorous challenges in MANET networks than those of others networks. The dynamic with which topology changes affects important parameters to measure quality such as delay, packet loss and delay variation. In this work we measured the impact of metrics such as hop count, traffic load, node density and number of route breaks have over the performance of VoIP applications in MANET through simulation. Such simulations have allowed the comparison of the behavior of three important routing protocols. From the results reached, it has been shown that the studied metrics have a more unstable behavior in MANET than in other networks that are also candidates to carry mobile services. However, there is a lot of expectation with the possibility of using these technologies (VoIP and MANET) to provide low-cost mobile telephony due to the ease of deployment and simplicity of its infrastructure.
RPE: The Art of Data Deduplication

These days data storage is often talked about in units of tera and peta bytes. The demand for storing more and more data calls for technological innovations in multiple fronts. Some applications demand storing and processing huge amounts of data, while others need to do it faster and more securely. Hardware innovations have come a long way to handle these humungous data processing requirements. On the storage side, tapes have advanced to hard disks, solid state disks and flash drives. Processing speeds and physical memory sizes have increased. But having efficient software that make better utilization of the present and upcoming hardware will help overcome many barriers and scale to future demands, such as those spurred by the advent of cloud computing. In a cloud data center, applications and data from multiple tenants are all stored and managed in one place. If commonality among these data can be identified, unnecessary duplicates could be eliminated and storage hardware resources could be optimized. The process of identifying duplicate data and removing them is called deduplication. Both duplicate identification and removal are crucial in building large-scale very large-scale storage systems. To identify duplicates, every incoming data object is matched with already stored objects. To scale to very large data sets, efficient indexing techniques are required to speed up this matching process. With deduplication, a physical data object may be referenced by multiple data logical objects. How to efficiently reclaim a physical data object when all its associated logical data objects cease to exist is a challenge, because the metadata size is too large to fit into memory. In this report we will describe these design issues in deduplication, examine how proposed techniques tackled them, and finally present our own design – the deduplication engine used in ITRI CloudOS.
Design of a parser for real-time process algebra

The real-time process algebra (RTFA) is a set of new mathematical notations for formally describing software system architectures, and static and dynamic behaviors. To bring RTPA into industrial software development practice, tools are needed for analyzing and visualizing RTPA specifications. The first step to develop the supporting tools is to build a grammar parser for recognizing the RTPA notation system. In this paper, a parser of RTPA is described. The parser takes a textual RTPA specification as input, and generates an abstract syntax tree (AST) as its output. The generated AST represents RTPA tokens and lexical information in a structured format, which provides a foundation for further semantic analysis, code generation, visualization, and validation.
Scheduled CDMA: a hybrid multiple access for wireless ATM networks

Future wireless ATM networks are expected to support a variety of services with different bit-rates and quality-of-service (QoS) requirements. A major challenge for these networks is the design of the multiple access scheme. We introduce a new MAC protocol called scheduled CDMA (SCDMA). This scheme is a hybrid CDMA/TDMA scheme in which the base station schedules transmission of CDMA-based mobile terminals. At any time, a group of services are scheduled to transmit simultaneously. Interference control is done with power control. Several QoS issues of this scheme are addressed including power control, application of FEC coding, and high bit-rate service support.
Vowel and consonant recognition in Turkish using neural networks toward continuous speech recognition

This paper describes an artificial neural network that recognizes vowels and consonants in Turkish when a word or word sequence is uttered. The recognition is performed by three groups of connected nets. Inputs of the nets are the magnitudes of the short time spectrum at 16 mel-scaled frequency points in the range of 240 to 4500 Hz. The first net differentiates the input as being a vowel or a consonant. The outputs of this net as well as the magnitudes of the short time spectrum are used as inputs to the nets for vowel and consonant recognition. Consonant-vowel (CV) or vowel-consonant (VC) fragments of 11 speakers were used for training the different nets, and fragments from 7 more speakers were used for testing. <<ETX>>
Dna self-assembly for efficient error-tolerant nanomanufacturing

Biology makes things far smaller and more complex than anything produced by human engineering. The biotechnology revolution has for the first time given us the tools necessary to consider engineering on the molecular level. Research in DNA computation, launched by Len Adleman [1], has opened the door for experimental study of programmable biochemical reactions. In this thesis we focus on a single biochemical mechanism, the self-assembly of DNA structures, that is theoretically sufficient for Turing-universal computation. Wang [2] tiles theory shows how jigsaw-shaped tiles can simulate the operation of a Turing machine. The theory combines Wangs purely mathematical Tiling Problem with the branched DNA constructions of Seeman [3]. DNA molecular structures and intermolecular interactions are particularly amenable to design and are sufficient for the creation of complex molecular objects. Even though DNA self-assembly has potentially many advantages over more traditional manufacturing mechanisms, many challanges are still left unsolved; in particular, process robustness is of a major concern, i.e. robustness refers to the tolerance of errors that may occur in the DNA self-assembly process. As the number of tiles required for the self-assembly of molecular ICs is expected to be in magnitudes of at least millions, even a modest reduction in the error rate has a significant impact on manufacturing. Several works have been reported on error tolerance; proofreading tile sets [4], snaked proofreading [5], self-healing tile sets [6], and so on have proposed new techniques for self-assembly robustness. All these methods have some impacts on the speed of the growth process and by increasing the speed there is no gaurantee for an error-free assembly. In this thesis, gross damege in DNA self-assembly has been analyzed and based on the theoritical results a new healing method has been proposed. This healing technique is based on removing the locked faulty tiles from the assembly and regrowing the removed area. Simulation result using xgrow [7] have been reported considering well-known tile sets like Line1, Line2, Binarycounter, Sierpinski, and so on, several metrics have been defined for assessing the robustness of a tile set and it has been proved that Ideal Tile Sets (ITS) are the most robust tile sets. Using a Markov model for a tile attachement to an empty site, it has been shown which type of gross damage is more effective for non-ITS tile sets. Then parallel growth (multi-direction/multi-seed) is proposed as a new scheme for increasing the growth process in DNA self-assembly and finally a coding frame work has been proposed for error detection/location in DNA self-assembly and the effectiveness of this coding scheme has been shown for sierpinski tile set.
TEACHING WRITING OF PROCEDURAL TEXT AT SECOND GRADE STUDENTS OF SMA

Penelitian ini bertujuan untuk mengetahui apakah ada peningkatan kemampuan menulis siswa setelah diajarkan dengan menggunakan video dan untuk mengetahui aspek apakah yang paling meningkat dengan menggunakan video dalam pengajaran prosedur teks writing. Hasil penelitian menunjukkan bahwa nilai rata-rata siswa dari pretest adalah 69,50 dan nilai rata-rata siswa dari posttest setelah pelaksanaan dengan menggunakan video adalah 83,64, di mana terjadi peningkatan 14,24. Peningkatan tertinggi dicapai dalam vocabulary (28,72%) dari 14,86 hingga 18,92. Masing masing, aspek organization 14.84 hingga 17.59, aspek content dari 20.20 hingga 23.85, aspek grammar dari 16,10 hingga 18,88 dan mechanic dari 3,5 hingga 4,4. Hal ini dibuktikan oleh hasil Paired Sample T-Test, yang menunjukkan bahwa nilai dari dua nilai akhir signifikan kurang dari α (0,00 <0,05). Berdasarkan hasil di atas, dapat disimpulkan bahwa video dapat meningkatkan prestasi penulisan procedural text siswa. This research was aimed to find out whether there is an increase of students’ writing achievement after being taught by using video and to find out what aspect of writing increase the most. The result showed that the students’ mean score of the pretest was 69.50 and their mean score of the posttest after the implementation by using video was 83.64, in which the improvement was 14.24. The highest improvement was achieved in vocabulary (28.72%) from 14.86 up to 18.92. Respectively, organization aspect 14.84 up to 17.59, content aspect from 20.20 up to 23.85, grammar aspect from 16.10 up to 18.88 and mechanic from 3.5 up to 4.4. It was proven by the result of Paired Sample T-Test, which showed that the value of two tail significant was less than α (0.00 < 0.05). Based on the result above, it can be concluded that video can increase students’ procedural writing achievement. Keywords: audio visual, procedural text, teaching writing, writing, and video.
Techniques of vision inspection aided by kalman filter in medicine packing production

In order to avoid dependence on hardware devices and realize rapid vision detection of medicine defects on packing machine, a vision-based inspection method was proposed by the combination of kalman filter and image processing techniques. A kalman filter model was established to predict medicine movement and used to control the TV camera. The image detection results were adopted to update the kalman filter measurement in real-time inspection process. In this way, the images for medicines packed in the form of aluminum-plastic blister were achieved at a fixed position of the transferring platform. Experimental results indicate that the estimation approach was accurate enough to be capable of triggering vision inspection without proximity sensors used in traditional vision inspection systems.
De memristor in feedback control systemen. (Engelse titel: The memristor in feedback control systems.)

The creation of a passive element with memristive properties by HP has caused a resurgence of research being conducted regarding the memristor. This paper shows how such an element could be used in feedback control systems, with a particular interest in the describing function of such a memristive element. After determining the describing function of a memristor we look at some properties of a memristor and also look at and discuss two applications. The first application is causing a periodic orbit in a feedback control system and the second is creating an MID controller.
DEVELOPMENT PROGRAM APPLICATION TO THE MEASUREMENT OF DOCUMENTS RESEMBLANCE TEXT MINING, TF-IDF, AND VECTOR SPACE MODEL ALGORITHM

Along with development of information technology and many scientific papers, writings, and papers, it makes more and more cases of plagiarism of people's literature. Plagiarism of a paper is a matter someone who is not praises worthy. Human Easily can checks whether a document is similar to other documents, but measuring the level of similarity of a document with other documents in a computerized automatically has its own problems, therefore this research will from an application be made can measure that the level of similarity between documents in computerized. In this study the techniques used to solve the above problems is to use text mining techniques using keywords, and the algorithm used algorithm is TF / IDF (Term Frequency - Inversed Document Frequency) Vector Space Model and Algorithm. With this research document will from the process of measuring the level of similarity to show how much the value ofthe similarity of documents with other documents. Keywords: Document Similarity, Text Mining, TF – IDF, Space Vector Model
Whither Intelligence Research

Today we have many exciting new technological tools that allow us to observe the brain and genome and lure us into new kinds of studies. I believe, however, that we will not be able to make truly effective use of these tools until we understand better what it is we mean to measure when we measure intelligence, how it develops, and the impact of the clear presence of gene-environment correlation on its development.