Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed Zone Partitioning Schemes for CAN and Its Application to the Load Balancing in Pure P2P Systems

In this paper, we propose several distributed zone partitioning schemes for Content-Addressable Networks (CAN), that is known as a pure peer-to-peer system based on the Distributed Hash Table (DHT). The main objective of the proposed schemes is to balance the load of nodes in the CAN system, in such a way that every node receives almost the same number of inquiries from the other nodes in the system. The result of simulations implies that, by using the proposed schemes instead of a randomized zone partitioning scheme originally implemented in the CAN system, we could reduce the response time for each inquiry to less than 75%.
Optical code-division multiplexing systems using Manchester coded Walsh codes

The authors propose an optical code-division multiplexing (OCDM) system using a Manchester coded Walsh code (MCWC) as the spreading code. The MCWC, which is a modification of the traditional Walsh code, has some special properties that are suitable for both single-rate and multirate synchronous OCDM systems. In such systems, the multiple-access interference (MAI) is directly proportional to the number of users; therefore, as long as the number of users is determined, the MAI can be estimated and cancelled. According to the performance analysis of the proposed system, the numerical results show that the bit error rate of the proposed OCDM system is much lower than that of other OCDM systems.
A sparse eigenvalue-based approach for partitioning power networks

The authors propose a network partitioning algorithm based on the electrical distances among the buses of a system, using a sparse eigenvalue-based approach. The technique clusters interdependent buses together while weakly connected buses are placed in different clusters. The partitioning technique is independent of the system's operating condition. Small- and medium-sized power systems have been partitioned employing the proposed technique. An example of an application is demonstrated using a corrective control program for alleviating thermal overloads, and comparing the results of the partitioned networks with those obtained with a full network model. >
Teachers’ Instructional Choices with Student-Created Digital Documentaries

Abstract This article describes qualitative case studies of two teachers who integrated student-created digital documentaries into their social studies classrooms. Thornton’s (2001a) concept of the teacher as curricular gatekeeper and Mishra and Koehler’s (2006) Technological Pedagogical Content Knowledge framed the study. The teachers worked within the constraints of a very detailed mandatory curriculum, taught very similar content, and used the same online digital documentary tool. Despite these similarities, they planned and executed their projects in divergent ways. We found that the teachers’ pedagogical aims, rather than the technology or content, dominated both their planned and enacted curriculum.
Research on paper currency recognition by neural networks

Paper currency recognition is widely applied in many fields such as bank system and automatic selling-goods system. How to extract highly qualified monetary characteristic vectors from currency image is an important problem needing to be solved now. It is a key process to select original characteristic information from currency image with noises and uneven gray. This article, aiming at the specialties of RENMINGBI(RMB) currency image, puts forward a method using linear transform of image gray to diminish the influence of the background image noises in order to give prominence to edge information of the image. Then the edge characteristic information image is obtained by edge detection using simple statistics. Finally by dividing the edge characteristic information image in the width direction into different areas, getting the number of the edge characteristic pixels of different areas as input vectors to neural networks (NN), carrying out sorting recognition by three layer BP NN, paper currency is recognized. The proposed method of extracting input vectors has advantages of simplicity, high calculating speed, obvious characters of original image, good robust to different kinds of RMB. By experimental tests, recognition ratio to the new printing style of 100 RMB, the old printing style of 50 RMB, the new printing style of 50 RMB, 20 RMB, the new printing style of 10 RMB is 95%, 99%, 99%, 92% and 98% respectively. And the results are satisfying.
Characteristic magnetic resonance imaging entheseal changes of knee synovitis in spondylarthropathy.

OBJECTIVE To use magnetic resonance imaging (MRI) in patients with rheumatoid arthritis (RA) and spondylarthropathy (SpA) to determine if the primary site of abnormality differs. METHODS Twenty patients with recent-onset knee effusion (10 with SpA and 10 with RA) were evaluated using fat-suppressed MRI. Knee joint effusion and synovitis were confirmed using ultrasonography. MRI scans were independently scored by 2 observers who were blinded to the patient's diagnosis. RESULTS All 10 of the SpA patients, but only 4 of the 10 RA patients, had focal peri-entheseal high signal (compatible with fluid or edema) outside the joint (P = 0.01). Six of the SpA patients had bone marrow edema that was maximal at entheseal insertions; in 4 cases this was multifocal. No RA patients showed such an abnormality (P = 0.01). CONCLUSION Prominent entheseal abnormalities on MRI are a consistent feature of new-onset synovitis in SpA, but are a minor feature of RA. This finding has important implications for the diagnosis, classification, and mechanisms of synovitis in patients with SpA.
Camera constraint on multi-range calibration of augmented reality systems for construction sites

Accurate calibration methods are critical to achieving accurate registration in Augmented Reality (AR) systems. Most calibration methods developed so far focus on achieving the accurate registration within certain view distance ranges. Examination of work tasks in construction, however, indicates that the AR system registration accuracy may not satisfy the accuracy demands of work tasks due to variations in the view distances. This fact indicates the necessity of multi-range calibration for measuring the positions of objects at various view distances with appropriate accuracy. This paper is an initial investigation of the constraints associated with construction sites conducted to ensure the appropriate system accuracy of multi-range AR systems designed for use in these environments.
Study of line spectrum pair frequencies for speaker recognition

Four varieties of line spectrum pair (LSP) frequencies for speaker recognition applications and their corresponding performances are studied. The four varieties are all-LSP frequencies, odd or even line spectrum frequencies, the mean of adjacent LSP frequencies, and the difference of adjacent LSP frequencies. A speaker-based vector quantization approach is used in the evaluation. The results show that each variety of LSP frequencies has a very high accurate rate. <<ETX>>
Product Evaluation Summarization Through Linguistic Analysis of Product Reviews

In this paper, we introduce a system that summarizes product evaluation through linguistic analysis to effectively utilize explosively increasing product reviews. Our system analyzes polarities of product reviews by product features, based on which customers evaluate each product like `design` and `material` for a skirt product category. The system shows to customers a graph as a review summary that represents percentages of positive and negative reviews. We build an opinion word dictionary for each product feature through context based automatic expansion with small seed words, and judge polarity of reviews by product features with the extracted dictionary. In experiment using product reviews from online shopping malls, our system shows average accuracy of 69.8% in extracting judgemental word dictionary and 81.8% in polarity resolution for each sentence.
Analysis of PLL frequency synthesizer considering transient response of the VCO represented as Van der Pol equation

With the increasing demand for high speed technology in modern communication systems, PLL frequency synthesizers with a faster acquisition speed have been required. In the past, many analyses of PLLs have been carried out with the assumption that there is no delay between the input voltage and the output frequency in the VCO. However, when the PLLs with high speed acquisition are considered, one must know more accurately the VCO transfer function. The paper shows a more accurate VCO transfer function by solving the circuit state equations of the VCO, and investigates the effect of the VCO transient response on the frequency switching performance of the PLL frequency synthesizer.
Parallel Biogeography-Based Optimization With GPU Acceleration for Nonlinear Optimization

This paper presents a massively parallel Biogeography-based Optimization – Pattern Search (BBO-PS) algorithm with graphics hardware acceleration on bound constrained optimization problems. The objective of this study was to determine the effectiveness of using Graphics Processing Units (GPU) as a hardware platform for BBO-PS. GPU, the common graphics hardware found in modern personal computers (PC), can be used for data-parallel computing in a desktop setting. In this research, the BBO was adapted in the data-parallel GPU computing platform featuring ‘Single Instruction – Multiple Thread’ (SIMT). The global optimal search of the BBO was enhanced by the classical local Pattern Search (PS) method. The hybrid BBO-PS method was implemented in the GPU environment, and compared to a similar implementation in the common computing environment with a Central Processing Unit (CPU). Computational results indicated that GPU-accelerated SIMT-BBO-PS method was orders of magnitude faster than the corresponding CPU implementation. The main contribution of this paper was the parallelization analysis and performance analysis of the hybrid BBO-PS with GPU acceleration. The research result was significant in that it demonstrated a very promising direction for high speed optimization with desktop parallel computing on a personal computer (PC). Copyright © 2010 by ASME
Explorations in context space: Words, sentences, discourse

Deriving representations of meaning, whether at the word, the sentence, or the discourse level, is a problem with a long history in cognitive psychology and psycholinguistics. In this article, we describe a computational model of high‐dimensional context space, the Hyperspace Analog to Language (HAL), and present simulation evidence that HAL's vector representations can provide sufficient information to make semantic, grammatical, and abstract distinctions. Human participants were able to use the context neighborhoods that HAL generates to match words with similar items and to derive the word (or a similar word) from the neighborhood, thus demonstrating the cognitive compatibility of the representations with human processing. An experiment exploring the meaning of agent‐ and patient‐oriented verbs provided the context for discussing how the connotative aspects of word neighborhoods could provide cues in establishing a discourse model. Using the vector representations to build a sentence‐level representati.
Course Design Using the House of Quality

This article reports on the use of the House of Quality to facilitate the design of a required operations management course in an MBA program. The House of Quality is a relatively new approach that is used in product or service design and total quality management. The faculty identified the decision issues it felt would be pertinent to the design effort and surveyed students on their perceptions of those areas at the end of the course. The faculty then analyzed data and discussed the findings. The resulting House of Quality provided the basis for determining future course improvements.
An incremental floorplanner based on genetic algorithm

To support incremental changes on the existing floorplan is becoming an increasingly important problem in order to cope with the complexity of the merging of VLSI design phases. An incremental floorplan algorithm based on genetic algorithms is presented in this paper. It supports incremental changes on the existing floorplan solution. Our experiments show that given an initial floorplan and incremental changes, a comparable new floorplan solution in quality can be generated with a magnitude of speedup.
Locally adaptive passive error concealment for wavelet coded video

In lossy packet networks such as the Internet, information often gets lost due to, e.g., network congestion. While these problems are typically solved by Active Error Concealment techniques such as error correcting codes, they do not always work for applications such as real time video. In these cases, Passive Error Concealment is essential. Passive error concealment exploits the redundancy in the video: lost data are estimated from their correctly received neighboring data. In this paper, we focus on wavelet based video coding. We compress video frames by dispersively spreading neighboring wavelet coefficients over different packets, and by coding these packets independently from each other. If a packet gets lost during the transmission, we estimate the missing data (wavelet coefficients in I-frames and P-frames, and motion vectors) with passive error concealment techniques. In the proposed method, we extend our earlier image concealment method to video. This technique applies a locally adaptive interpolation for the reconstruction of lost coefficients in the I-frames of wavelet coded video. We also investigate how the lost coefficients in P-frames can be reconstructed. For the reconstruction of lost motion vectors, we use the vector median filtering reconstruction technique. Compared to related video reconstruction methods of similar complexity, the proposed scheme estimates the lost data much better. The reconstructed video also looks better. As the proposed method is fast and of low complexity, it is widely usable.
An Optimal Position and Orientation of Stereo Camera

모션 및 무인 차량의 깊이 제어를 위해 스테레오 비전 분석을 하였다. 스테레오 비전에서 3차원 좌표의 깊이 정보는 스테레오 이미지 사이의 포인트를 식별한 후 삼각 측량을 통해 얻을 수 있다. 그러나 항상 몇몇 이유 때문에 삼각 측량의 오류가 발생한다. 비전 삼각 측량의 이러한 오류는 카메라의 위치와 방향에 주의하여 배열함으로써 완화 될 수 있다. 본 논문에서는 무인 차량을 위해 카메라의 최적의 위치와 방향을 결정하는 방법을 제시하였다. 【A stereo vision analysis was performed for motion and depth control of unmanned vehicles. In stereo vision, the depth information in three-dimensional coordinates can be obtained by triangulation after identifying points between the stereo image. However, there are always triangulation errors due to several reasons. Such errors in the vision triangulation can be alleviated by careful arrangement of the camera position and orientation. In this paper, an approach to the determination of the optimal position and orientation of camera is presented for unmanned vehicles. 】
The characterization of multi-source multicast with network coding

The capacity region of the single-source multicast network coding has an explicit Max-flow Min-cut representation. But for multi-source multicast networks the problem is still open. In this paper, we mainly discuss the case of independent encoding multi-source multicast network using inter-session network coding. We propose a multi-source independent encoding theorem for this problem which characterizes the admissible coding rate region of independent encoding for relevant multiple sources. The theorem is proposed by the paper according to the strongly typical sequences and random coding. We also point out the connections between our theorem and the general multi-source network coding problem, of which the results are computable and can be used to design the multi-source network coding algorithm.
An Investigation on Numerical Simulation Method for Aero-Acoustics Based on Acoustics Analogy

A numerical simulation method on noise prediction, which incorporates aerodynamics and sound wave equations based on acoustic analogy, is presented in the paper. Near-field unsteady aerodynamic characteristic can be obtain by large eddy simulation (LES), and far-field propagation of sound waves and spatial sound-field can be obtain by solving the time-domain integral equations of Ffowcs Williams and Hawings (FW-H). Based on the method, a numerical simulation was done on a two-dimension cylinder and a three-dimension flat plate with blunt leading edge. The agreement of numerical results with experiment data validated the Feasibility of the method. The results also indicate that LES can describe vortex generation and shedding in the flow-fields, and FW-H formulation, which has taken time-lag between sound emission and reception times into account, can simulate time-effect of sound propagation toward far-fields.
An Improved DV-HOP Localization Algorithm Based on Simulation Curve Fitting

Localization technology is one of the key technologies in Wireless Sensor Network (WSN). The Centroid algorithm, DV-HOP algorithm, APIT algorithm and Amorphous are the classic algorithms which are based on Range-free localization algorithm. This paper is improved on the basis of the DV-HOP and Weighted DV-HOP node localization algorithm, proposed an improved DV-HOP and weighted DV-HOP of WSN localization algorithm based on Simulation Curve Fitting (SCF). The SCF algorithm makes the process more refined during selecting the beacon node and the selected beacon node can be closer to the accurate position.
A Cross-modal Heuristic for Periodic Pattern Analysis of Samba Music and Dance

Abstract Samba delimits a privileged cultural territory, which is populated by a diverse set of dance and musical expressions. Although several authors have stressed the fact that music and dance are intrinsically coupled in samba culture, there is a lack of proper methods that allow the description of this relationship in terms of musical patterns and body movement. In this study, we develop a method to unravel this relationship, using a computational heuristics that provides an analysis framework to find periodic patterns connected with metre in dance and music. The method is applied to a limited universe of samba dances and music, which is used to illustrate the usefulness of the approach. In particular, we show that an interesting coupling can be observed between dance and music at the metrical level. The results allow us to make the description of shared structures, such as synchronized patterns and spatial gestures, under the common framework of metre. Evidence for the enactment hypothesis is reveal.
Role-Based Services Certification Model of State Grid Unified Application Platform

With analyzing the cause and characteristics of security problems in the current power State Grid Unified Application Platform, this paper proposes a Role-Based Services Certification Model, RBSCM, to solve the security problems in electric power information system and designs a generalized and effective mechanism of security management. The paper provides a set of constraint specifications. These constraint specifications of RBSCM are organized to form a construction, and an enact process is proposed to make it scalable and flexible to meet the need of diversified service application systems.
The actual diagnosis and rational appeal of college network courses

Nowadays, people have wrong conclusions and unreasonable concepts about the essential attribute in college network courses. These can be illustrated by the following aspects: such as in the value, the fixed position is not conformity with expectation; in teaching, the current teaching situation is deviated from teaching expectancy. As a result, people lead to a situation where their speculation is deviated from expectancy, and construction has little to do with management, furthermore input and output imbalance. Therefore, they cannot keep out of this situation. So the author makes an attempt to thinking deeply the critical issues in order to change the cognitive deviation and error orientation of college network courses, and makes the college network courses in accordance with the regularity and aim, such as accidental and inevitable, quantity and quality, periphery and core, decoration and high-quality goods. Keywords-college; network courses; diagnosis; appeal
Efficient method for pitch shifting digitally sampled sounds

Altering the pitch of digitally sampled sounds is an operation that is performed by a number of commercially available devices (sampling synthesizers, harmonizers, vocoders) as well as by the software of many computer music languages. However, the algorithms for resampling and formant analysis/ resynthesis that these devices implement have some drawbacks: they can be computationally expensive and can produce audible side effects, among other things. Resampling, which is achieved by modifying the sampling rate, changes not only the pitch of the sound, but also its length and formant shape. The length change is usually compensated by a compression or expansion of the sound (Lee 1972), but this often introduces pops, clicks, and other modulations. The shift in the formant structure, which creates the familiar chipmunk-like sound, also causes the sound to be unrecognizable after only one octave or so of pitch shift. The analysis/resynthesis methods involving linear predictive filters (Oppenheim and Schafer 1975) and Fourier transforms (Dolson 1986) have the ability to retain the formant shape but require a large amount of computation. The goal of this paper is to present an alternative algorithm for altering the pitch and length of pitched (pseudo-periodic) sampled sounds. It has a computational efficiency near that of the resampling method while maintaining the formant characteristics of the unshifted sound.
Embracing the Future with Research

Medical and Surgical specialties are going through an exciting phase in the present time. Technology is a major factor behind this rapidly evolving scenario and we have witnessed a drastic change in the surgical modalities available to the patient. Within a short phase of training my generation of surgeons has witnessed a rapid shift from the conventional open surgery to laparoscopic surgery, single port surgery and now to robotic surgery. Open surgery has been practiced for over 1000s of years and laparoscopic surgery is about 45-50 years old [1]. Single port surgery is about 30 years old and robotic surgery is has just completed two decades [2]. The latter half of this century has offered more than the preceding millenniums in terms of surgical modalities and there are a few noteworthy points in this regard. Every advancement was initially ridiculed and poorly accepted before it became the gold standard, every advancement has been widely embraced and amalgamated in current practice like it was always existing since the beginning and every advancement brought with it a vast opportunity for research. Research papers that first reported these breakthroughs have become legendary and so have those articles that supported and helped in the percolation of these advancements to the roots of clinical practice.
Body-conducted speech retrieval from a noisy environment using differential acceleration

Speech recognition tends to be influenced by noise in the air. Body-conducted speech offers a robust signal extraction method from noisy environments, particularly because body-conducted speech is a propagated sound and not easily influenced by noise. However, when body-conducted speech is extracted with an accelerator, the typical frequency component of 2 kHz or more decreases compared with normal speech. Thus, we investigated a technique combining differential acceleration and noise reduction to estimate a clear signal using only body-conducted speech from a noisy room. The recognition rate confirmed about 3-4% is improved with proposed method.