Miracle-dz/UniFAR-FTUs huggingface dataset:
Scale-Free Graph Processing on a NUMA Machine

Modern shared-memory systems embrace the NUMA architecture which has proven to be more scalable than the SMP architecture. In many ways, a NUMA system resembles a shared-nothing distributed system: physically distinct processing units and memory regions. Memory accesses to remote NUMA domains are more expensive than local accesses. This poses the opportunity to transfer the know-how and design of distributed graph processing to develop shared-memory graph processing solutions optimized for NUMA systems. To this end, we explore if a distributed-memory like middleware that makes graph partitioning and communication between partitions explicit, can improve the performance on a NUMA system. We design and implement a NUMA aware graph processing framework that embraces design philosophies of distributed graph processing system: in particular explicit partitioning and inter-partition communication, and at the same time exploits optimization opportunities specific to single-node systems. We demonstrate up to 13.9x speedup over a state-of-the-art NUMA-aware framework, Polymer and up to 3.7x scalability on a four-socket NUMA machine using graphs with tens of billions of edges.
An Optimized Controller for Region of Attraction Enlargment of Underactuated Systems Using Impulse Manifold Method

Impulsive control is an alternative method for enlarging the region of attraction of nonlinear underactuated systems. The goal of this paper is to propose a method based on impulsive control to enlarge the region of attraction and meanwhile, minimize the consumed control energy. A performance index based on the consumed control energy is defined. Then, minimizing this performance index along with the use of impulsive manifold method enlarge the region of attraction with minimum consumption of control energy. The efficiency of the presented method is shown through a simulation.
Intelligence Is Asking The Right Question: A Study On Japanese Question Generation

Traditional automatic question generation often requires hand-crafted templates or sophisticated NLP pipelines. Such approaches, however, require extensive labor and expertise to morphologically analyze the sentences and create the NLP framework. Our works aim to simplify these labors. We conduct a contrastive experiment between two types of sequence learning: statistical-based machine translation and attention-based sequence neural network. These models can be trained end-to-end, and it can capture the pattern between the input sequence and output sequence, thus diminishing the need to prepare a sophisticated NLP pipeline. Automatic evaluation results show that our system outperforms the state-of-the-art rule-based system, and also excels in terms of content quality and fluency according to a subjective human test.
Walking Strategy Abnormalities in Elderly with Diabetic Neuropathy: A Biomechanical Investigation through three Curves Analysis

Objective: The aim of the present study was to explore the walking strategy by monitoring the characteristics of plantar pressure in elderly patients with diabetic peripheral neuropathy. Methods: This descriptive study was conducted at the endocrine ward at Huadong Hospital, Fudan University, shanghai, China, from April 2016 to December 2016. Elderly patients with diabetic peripheral neuropathy were enrolled from Huadong Hospital, Fudan University. Non-diabetes elderly were enrolled from Changning District Xianxia Street Community Service Center, Shanghai, China. A total of 229 participants were recruited. Non-diabetic elderly were grouped for DC, and elderly with type 2 diabetes, according to the Toronto clinical neuropathy score (TCSS) into no significant peripheral neuropathy group (DM group), mild peripheral neuropathy group (DN1 group), moderate peripheral nerve lesion group (DN2 group) and severe peripheral neuropathy group (DN3 group), a total of five groups. Outcome measures included the center of pressure (COP)A¯Â¼ÂŒthe plantar force time curve, the Foot balance curve and loading time. Results: COP trajectories: The COP trajectories in elderly with DPN were abnormal significantly with abnormal foldback, beginning point shifted forward and terminal point lateral shifted; The COP excursions along the medio-lateral axes reduced in elderly with DPN and increased in elderly without PN; The COP excursions and maximum excursions along the longitudinal reduced in elderly with DPN; The COP minimum excursions along the longitudinal axis increased in elderly with DPN, with the most severe PN significantly (p<0.05). The plantar force time curve: The plantar force time curve were abnormal significantly in mild and severe PN with single more force peak; Among the morphologically normal curves, the first and second peak force reduced in elderly DM with PN and without PN. The time to peak and valley in elderly DM with PN and without PN delayed (p<0.05). Foot balance: The Foot balance curve were abnormal significantly, with no positive wave or negative wave, with the most severe PN significantly. Among the morphologically normal curves, the positive and negative peak values reduced in elderly with DPN (p<0.05). Loading time: Loading time was significantly longer in the severe PN; In the stance phase of gait cycle, the time of midstance phase were longer, and the time of heel contact phase and propulsion phase were shorter in elderly with DPN and without DPN, with moderate and severe PN more significant (p<0.05); The loading time of the whole foot were prolonged and advanced, The loading time of midfoot and heel were shorten (p<0.05). Conclusions: The gait strategies in elderly with DPN were abnormal including shifted forward of the first loading site, lateral shifted of the final site, poor lateral stability and abnormal reentry, shortage driving force, plantar pressure loading offset, the prolonged loading time, prolonged stance phases and the forefoot ground ahead.
Smart Multi-Coil-based Magnetic Resonance Prototype for Wireless Power Transfer

Magnetic resonance is a promising technique of far-field wireless power transfer for consumer electronic devices due to its high efficiency and long charging distance. In this paper, we present a smart multi-coil array magnetic resonance charging prototype which can integrate several intelligent functions and charge multiple devices simultaneously with high efficiency. In this platform, magnetic beamforming, impedance matching network and receiver position estimation are implemented on this platform. With these schemes, the received power and transfer efficiency are increased effectively. The experimental results indicate that our platform can effectively charge a device in 20cm with above 90% transmission efficiency.
Angular Motion Decoupling and Attitude Determination Based on High Dynamic Gyro

Aiming at the problem of attitude angular motion coupling of a high-spinning rigid body, the model of the compound regular precession and the random angular motion is constructed by studying the angular motion characteristics of the high-spinning rigid body. This paper presents a new decoupling method with least squares angular rate zero-crossing detection. This method can estimate the coupling parameters in the model by estimating the angular motion period, and then, it extracts the real angular velocity information. In order to improve the attitude solution accuracy, a new four-subsample quaternion attitude algorithm is proposed by combining the angular velocity polynomial fitting and the attitude quaternion high-order Taylor series expansion. The self-developed high dynamic gyro and Missile-borne computer and simulation software are used to verify the attitude angle resolution accuracy between the traditional method and the new method proposed in this paper. The results show that the method is superior to the traditional algorithm, and increase by an order of magnitude. Finally, the flight test with the high dynamic gyro and Missile-borne computer is carried out to verify the real-time decoupling and attitude angle real-time solving ability of the proposed algorithm in the flight test.
3D USER INTERFACE STUDY IN THE VR CAVE: Toward a Virtual City Navigation

In this research, we implemented the 3D interactive interface for city navigation, and used an infrared 3D tracker as an interaction input device in VR CAVE. The design of 3D interface was evaluated by cognitive approach while navigating with a handheld sensor in the VR CAVE. According to the results of cognitive experiment, some revised design guidelines are proposed for further 3D navigation interface.
Optimizing Inter-Service Communication Between Microservices

The microservice pattern is a new alternative to architecting back-end systems. Instead of building large, monolithic systems that lead to issues related to scalability, maintainability and extensibility, systems are built as a set of small, independent services – microservices. Even though these services operate independently to a certain degree, there is often communication between them. Going from a monolithic system to a distributed system, the networking communication becomes a challenge. Representational State Transfer (REST) is a commonly used architectural pattern for designing service interfaces. While REST promotes generalization of endpoints through uniform interface, this leads to more overhead when transferring documents. This thesis discuss issues of REST and discusses them in context of microservices through a literature review. Some of the discussed issues relates to how concepts under REST should be approached where much discussion relates to how the linking between representations should be approached. There are also other issues relating to service discovery, transactions, security, and reliability. HTTP is often being used as a fundamental transfer protocol to implement a system following the REST architectural pattern. Other protocols have been explored in this thesis to determine their behavior in a microservice architecture. HTTP/1.1, HTTP/2 without encryption, and Constrained Application Protocol (CoAP) were tested under different latencies (0ms, 5ms, 10ms) as the messaging protocol between microservices in the AcmeAir benchmarking system. Results show that HTTP/1.1 was able to provide higher throughput compared to HTTP/2, whereas CoAP had a lower request throughput under all latencies. The differences in the latencies did, however, even out between the protocols under higher latencies. Considering bandwidth, HTTP/2 used least bandwidth followed by CoAP and HTTP/1.1. Some of the behavior of the CoAP protocol can be explained by framework limitations. This has resulted in contributions to the Californium Java CoAP framework by avoiding thread creation during request processing and introducing asynchronous APIs in the framework for HTTP messaging. Furthermore, CoAP required some request headers to be implemented as they were not present in the framework or the protocol. It is argued this leads to higher coupling compared to the other protocols.
Fudan University at TRECVID 2009 High Level Feature Extraction and Copy Detection

For high-level feature extraction, we submitted 4 automatic runs: Fudan.Global: this run is based on global features of keyframes. Fudan.Local: this run is based on local features of keyframes. Fudan.Rerank: this run is based on local features and spatial information of keyframes. Fudan.Fusion: this run is based on the fusion of global and local features of keyframes. Focus of our system was on the effective utilization of global and local visual features.
INVESTIGATION OF THE STATISTICAL MODEL BASED OPTIMIZATION ACCURACY UNDER EXPERIMENTAL ERRORS. CASE STUDY: OPTIMIZATION OF NUTRIENT MEDIA FOR MICROORGANISMS' CULTIVATION PROCESS

The response surface methodology based process optimization procedure, including design of factorial experiments, development of statistical model and estimation of the optimum response point is simulated in order to investigate influence of experimental errors and experimental design area on the optimization accuracy. The investigated practical problem is optimization of nutrient media composition for cultivation of microorganisms' culture. The optimization results under a priori estimated experimental errors and various factor variation ranges in factorial experiments are investigated and the relationships between the factors variation range and the confidence interval of the optimum point estimations are determined.
Microarchitecture and FPGA Implementation of the Multi-level Computing Architecture

Microarchitecture and FPGA Implementation of the Multi-Level Computing Architecture Davor Capalija Master of Applied Science Graduate Department of Electrical and Computer Engineering University of Toronto 2008 We design the microarchitecture of the Multi-Level Computing Architecture (MLCA), focusing on its Control Processor (CP). The design of the microarchitecture of the CP faces us with both opportunities and challenges that stem from the coarse granularity of the tasks and the large number of inputs and outputs for each task instruction. Thus, we explore changes to standard superscalar microarchitectural techniques. We design the entire CP microarchitecture and implement it on an FPGA using SystemVerilog. We synthesize and evaluate the MLCA system based on a 4-processor shared-memory multiprocessor. The performance of realistic applications shows scalable speedups that are comparable to that of simulation. We believe that our implementation achieves low complexity in terms of FPGA resource usage and operating frequency. In addition, we argue that our design methodology allows the scalability of the CP as the entire system grows.
Feature enhancement from nonlinear time series using linear-phase and nonlinear-phase time-delay fuzzy combiners

Time-delay fuzzy combiners are used to extract short-term transients embedded in longer-term, nonlinear, periodic signals. Linear-phase structures maintain the phase integrity of these signals and provide transient extraction with reduced phase distortion and lower prediction errors. Inference rule reduction within the fuzzy combiner can lead to greater processing efficiencies but at the expense of higher prediction errors and malformation of the extracted transients. This research is aimed at the decomposition of electroencephalograms to classify waveform transient and background rhythmic characteristics which is useful in managing neurophysiological conditions such as epilepsy.
A Hybrid Approach for Polarity Shift Detection

Now-a-days sentiment analysis has become a hot research area. With the increasing use of internet, people express their views by using social media, blogs, etc. So there is a dire need to analyze people's opinions. Sentiment classification is the main task of sentiment analysis. But while classifying sentiments, the problem of polarity shift occurs. Polarity shift is considered as a very crucial problem. Polarity shift changes a text from positive to negative and vice versa. In this paper, a hybrid approach is proposed for polarity shift detection of negation (explicit and implicit) and contrast. The hybrid approach consists of a rule-based approach for detecting explicit negation and contrast and a lexicon called SentiWordNet for detecting implicit negation. The proposed approach outperforms its baselines.
Policy Model in the Desktop Management System

By studying the policy and desktop management systems theories, referencing the Internet Engineering Task Force (IETF) policy model, this paper proposed a policy model that can be applied in specific desktop management system. It mainly explains the whole system framework and its implementation mechanisms, and it discusses the problems and solutions that the policy model uses in the desktop management system.
Content-Based Image Retrieval Menggunakan Metode Block Truncation Algorithm dan Grid Partitioning

Dampak Image-Sharing melalui Internet, menyebabkan semakin meningkatnya volume dari basis data yang berisikan data gambar di Internet. Sehingga dalam melakukan pencarian gambar tidak dapat dilakukan secara manual. Para ahli mengemukakan dua teknik dalam proses temukembali gambar, yaitu Text-Based Image Retrieval dan Content-Based Image Retrieval. Penggunaan Content-Based Image Retrieval digunakan untuk mengatassi kelemahan Text-Based Image Retrieval yang membutuhkan sumber daya manusia yang banyak saat mendeskripsikan sebuah gambar. Content-Based Image Retrieval melakukan pencarian gambar berdasarkan pendekatan konten yang dimiliki gambar sendiri. Metode Block Truncation Algorithm (BTA) dan Grid Partitioning digunakan sebagai teknik ekstraksi ciri sebuah gambar uji, jarak Euclidean digunakan dalam pencocokan gambar uji terhadap gambar yang terdaftar dalam basis data. Hasil pengujian dinilai berdasarkan perbandingan antara Recall dan Precision yang disajikan dalam grafik analisis ROC (Receiver Operating Characteristics), hasilnya gabungan kedua metode yang diusulkan memiliki nilai presisi 53% dan recall 11,8% dan dalam daerah analisis ROC dengan nilai â€˜Good. â€™
Shaping robot behaviour with unlabeled human instructions

Most of current interactive learning systems rely on predeﬁned protocols that constrain the interaction with the user. Relaxing the constraints of interaction protocols can therefore improve the usability of these systems.This thesis tackles the question of interpreting human instructions, in order to relax the constraints about predetermining their meanings. We propose a framework that enables a human teacher to shape a robot behaviour, by interactively providing it with unlabeled instructions. Our approach consists in grounding the meaning of instruction signals in the task learning process, and using them simultaneously for guiding the latter. This approach has a two-fold advantage. First, it provides more freedom to the teacher in choosing his preferred signals. Second, it reduces the required engineering efforts, by removing the necessity to encode the meaning of each instruction signal. We implement our framework as a modular architecture, named TICS, that offers the possibility to combine different information sources: a predeﬁned reward function, evaluative feedback and unlabeled instructions. This allows for more ﬂexibility in the teaching process, by enabling the teacher to switch between different learning modes. Particularly, we propose several methods for interpreting instructions, and a new method for combining evaluative feedback with a predeﬁned reward function. We evaluate our framework through a series of experiments, performed both in simulation and with real robots. The experimental results demonstrate the effectiveness of our framework in accelerating the task learning process, and in reducing the number of required interactions with the teacher.
Clinical applications of myoelectric signal processing by neural network and spectral analysis

Recent works have shown that the myoelectric signal processing allows to obtain many informations about brain activity during muscle contractions. The knowledge of these informations can be used in order to implement useful rehabilitation methods for neuropatologic patients. Our goal is to give some techniques ables to evaluate muscle functions/dysfunctions in clinical applications by means of neural network and spectral analysis. In this paper we show that during the contraction of postural muscles like pectorals a cerebral low-frequency common drive has found. For this purpose, the simultaneous activities of both pectoral and both first interosseous muscles are recording by surface electromyography. Subsequently, an independent component analysis neural network is performed in order to remove artifacts. The discovery of the common drive in the brain was performed by means of the coherence analysis of myoelectrical signal recorded, based on Welch method spectrum estimate. The obtained results are in agreement with clinical studies.
Fuzzy Logic Speed Controller Implementation to A Supercapacitor Based-Regenerative Brake System

During the braking process, the efficiency for the electric vehicles is improved through the recovery of energy by the regenerative brake system. The mechanical energy is lost and converted to heat when the conventional contact brake system is used. In this study, fuzzy-logic speed controller for a regenerative brake system using supercapacitors was designed, prototyped and tested. The prototype is mainly composed of a suspended wheel driven by a DC motor whose speed is varied and controlled through fuzzy logic algorithm. This study aimed at improving and maintaining the speed of the wheel to a setpoint as compared with an open-loop system. This study also aimed to compare the performance of the proposed system that utilizes supercapacitor bank against a conventional system that uses a battery based on the recovered energy and the braking time. According to the experimental results, the proposed system improved its speed control through the fuzzy logic method as compared against an open-loop system. The data also showed that the proposed system using supercapacitor bank is significantly better in energy recovery and braking compared to the conventional system using a battery. On the average, the system using battery achieved 4.81% reduction in stopping time, while the system using supercapacitor achieved 30.29% in reducing the stopping time of the wheel during coasting. In a single braking, the average recovered energy using the battery is 0.01 J while 0.69 J of energy is recovered using the supercapacitor bank. Therefore, the system using supercapacitor recovered an average of 0.68 J more energy than using a battery in a single braking.
The range of wrenches that can be statically exerted by a force replication device

The paper deals with the preliminary treatment of the problem of the determination of the relationship between the kinematics and the effective set of wrenches that a mechanical device can exert on the limbs of a human operator. The definition of force replicating devices (FRDs) is given together with a first classification related to their topological features. The analysis of force replication is initially carried out by considering the kinetostatic analysis for a generic mechanical device: the set of replicable wrenches is calculated on the basis of its kinematics properties. Examples are gives by considering two different types of FRD. The aim of the research is the determination of the kinematics features of an ideal FRD capable of replicating the desired set of wrenches to the specific human body part. <<ETX>>
Web-Based Learning Environments

Abstract The Web is a firmly established, though virtual, reality. Educators, well aware of the potential of We technology, have adopted it for creating new Web-based learning environments. This article presents a study of the characteristics of Web sites as teaching and learning environments. The major questions addressed in this study were: 1. What characterizes educational Web sites at the content, teaching, learning, and communication levels? 2. How do key teaching and learning issues appearing on educational Web sites relate to educators’ expectations from the new technology? 3. What can a consideration of the current state of affairs teach us about further development and implementation of educational Web sites? To answer these questions we developed a classification scheme (the Taxonomy of WBLE); implemented it for the study of 436 educational Web sites focusing on mathematics, science, and technology learning; and elaborated on practical implications of the study’s results. The overall picture we have unveiled may sound disappointing, and it can be summarized as “one step ahead for the technology, two steps back for the pedagogy. ” But a thoughtful discussion of the results suggests directions for the research and development of novel Web-based educational models. Results indicate that many educational Web sites are still predominantly text-based and do not yet exhibit evidence of current pedagogical approaches (e.g., use of inquiry-based activities, application of constructivist learning principles, and use of alternative evaluation methods). Suggestions for future WBLE development are provided.