Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Study of Conventional and Optimal PID Tunned Methods for PMDCM Speed Control

The purpose of this work is to design and implementation of a speed controller for a Permanent Magnet Direct Current (PMDC) motor by setting of the suitable PID controller parameters using Ziegler-Nichols conventional technique (ZN) and Particle Swarm Optimization (PSO). The controlling process of PMDC motor is difficult and mathematically tedious because of non-linearity property. The conventional gain tuning of PID controller (such as Ziegler-Nichols method) usually produces a big overshoot, to overcome this difficulty a PSO is employed to improve the capability of conventional techniques. The PMDC motor is classified as a second order system for armature voltage control technique of speed control. In this study, the parameters of the targeted plant have been derived practically as well as obtained the transfer function and built the mathematical model which the tuning algorithms have been applied to. The simulation and practical results show that the PSO technique has more advantages over ZN tuning method, which they simulated by using MATLAB/Simulink and experimented by using Atmega328 controller, PMDC motor (YA-070) and IBT-2 driver.
Attentive Monitoring for Team Coordination: a Human-Robot Convoy Example

Convoy driving requires both the leader and the follower to accomplish the task. Namely, also the leader has to monitor the following agents behavior and to adapt its own in order to not outdistance them. Our working hypothesis is that effective teamwork can be achieved by adapting periodic monitoring strategies. Inspired by the behavior of human beings, we adopted attentional mechanisms for filtering data and actively focusing the monitoring only on relevant information and agent behaviors. The robotic convoy task is accomplished via a behavior-based control architecture endowed with attentional mechanisms producing a variable frequency of the monitoring. In this paper, we consider a convoy task as a benchmark to evaluate and compare human and robot monitoring behaviors. We illustrate the various parts of the control architecture as well as present and discuss the results of experiments performed in a real world scenario with humans and robots.
DISPLACEMENT MONITORING AT THE MICRON LEVEL USING DIGITAL PHOTOGRAMMETRY

This paper describes a low-cost photogrammetric system comprised by two offthe-shelf CCD cameras to monitor the deformations of concrete elements. The basic design of the system and its implementation is presented. Emphasis is given on the calibration procedure that is necessary to achieve accuracy in the order of 10ths of microns. The calibration plate consists of a high definition grid, with known cell dimensions at ±2 microns accuracy. The displacement monitoring is carried out fully automatically in a sequence of image pairs, acquired at specific epochs during the experiment. The obtained results demonstrate that high accuracies can be achieved for distances of about 30cm from the object’s surface.
Measure of covariance on fuzzy interactive Malthusian model Francielle

In this manuscript, we study the measure of covariance in a linearly correlated fuzzy processes. The analysis was done using the Malthusian decay model, where we compute the covariance of the solution at instants t+ h and t, and observe its behavior when t tends to infinity. Keyword: Fuzzy Interactive Malthusian Model; Fuzzy Differential Equation; Measure of Covariance.
Understanding and Improving Graph Algorithm Performance

Graph processing is experiencing a surge of renewed interest as applications in social networks and their analysis have grown in importance. Additionally, graph algorithms have found new applications in speech recognition and the sciences. In order to deliver the full potential of these emerging applications, graph processing must become substantially more efficient, as graph processing's communication-intensive nature often results in low arithmetic intensity that underutilizes available hardware platforms.To improve graph algorithm performance, this dissertation characterizes graph processing workloads on shared memory multiprocessors in order to understand graph algorithm performance. By querying performance counters to measure utilizations on real hardware, we find that contrary to prevailing wisdom, caches provide great benefit for graph processing and the systems are rarely memory bandwidth bound. Leveraging the insights of our workload characterization, we introduce the Graph Algorithm Iron Law (GAIL), a simple performance model that allows for reasoning about tradeoffs across layers by considering algorithmic efficiency, cache locality, and memory bandwidth utilization. We also provide the Graph Algorithm Platform (GAP) Benchmark Suite to help the community improve graph processing evaluations through standardization.In addition to understanding graph algorithm performance, we make contributions to improve graph algorithm performance. We present our direction-optimizing breadth-first search algorithm that is advantageous for low-diameter graphs, which are becoming increasingly relevant as social network analysis becomes more prevalent. Finally, we introduce propagation blocking, a technique to reduce memory communication on cache-based systems by blocking graph computations in order to improve spatial locality.
ROBUST WATERMARKING OF RELATIONAL DATABASES WITH ONTOLOGY-GUIDED DISTORTION CONTROL

A robust and secure technique is required to protect multimedia data as it can be easily produced as illegal copies. Digital watermarking is used for Intellectual Property Rights protection and authentication. In this paper, a lossless watermarking scheme based on Integer wavelet transform (IWT) and singular value decomposition (SVD) is implemented. The watermark image is embedded on the elements of singular values of the low-low (LL) Sub band of original image. The Integer Wavelet Transform is implemented based on lifting scheme which is computationally efficient than Discrete Wavelet Transform. The watermark image is extracted which is highly correlated with the original watermark image. The proposed algorithm is robust and authenticated under different attacks.
THE BIOMECHANICAL CHARACTERISTICS OF THE WEIGHTLIFTING JERK

The vertical ground reaction force (VGRF) and front foot sagittal plane movement of the weightlifting jerk were recorded from seven weightlifters. Average knee flexion during the dip phase was 58 ± 9 degrees (mean ± SD) at an average angular velocity of 125 ± 16 degrees.s exerting a vertical impulse of 138 ± 17.3 Ns. The peak rate of force development was 17.2 ± 4.86 BW.s, the VGRF continuing to increase from a propulsion impulse of 113.7 ± 31.2 Ns to a peak drive phase value of 3.5 ± 1.2 BW, extending the knees by 54 ± 9 degrees. The front foot catch phase peak impact VGRF was 3.4 ± 1.2 BW loading at a rate of 285 ±119 BW.s. The results indicate that although loading rates are not excessive during the catch phase, careful consideration should be given before introducing the jerk into the strength and conditioning program of the inexperienced.
Phenotypic plasticity in pre-feeding larvae of sea urchins, Mesocentrotus nudus and Strongylocentrotus intermedius

Experimental studies showed that in echinoids egg size of a species affects magnitude of phenotypic plasticity in larvae of the species. Here we tested whether any difference in magnitude of plasticity exists in pre-feeding larvae of two sea urchins, Mesocentrotus nudus (A. Agassiz, 1864) and Strongylocentrotus intermedius (A. Agassiz, 1864). These species are closely related by their phylogenetic position, have overlapping ranges, and differ by size of their eggs. Our results indicate that by the end of pre-feeding development (4 d after fertilization) the larvae from high algae treatment (8 000 cells 1 ml–1) had shorter post-oral arms as compared to their siblings of the same age from no algae treatment (0 cells 1 ml–1). In spite the egg volume of M. nudus was approximately 2-times bigger than that in S. intermedius, relative difference in post-oral arms length in no algae and high algae conditions in S. intermedius was approximately 1.5 times larger. Our results support the assumption that the degree of phenotypic plasticity in the larvae, developing from smaller eggs with lower maternal investment, is higher than in the larvae, developing from bigger eggs. We propose that pre-feeding larvae of S. intermedius are more phenotypically plastic than the larvae of M. nudus. How to cite this article: Kalachev A.V. , Yurchenko O.V. , Osten V.G. 2018. Phenotypic plasticity in pre-feeding larvae of sea urchins, Mesocentrotus nudus and Strongylocentrotus intermedius // Invert. Zool. Vol.15. No.4. P.420–433. doi: 10.15298/invertzool.15. 4.09
Impact of Attachment Styles on Social Isolation and Impulsiveness among Patients with Gender Dysphoria

Article history: Received 18 January 2018 Received in revised form 6 February 2018 Accepted 8 February 2018 Available online 7 May 2018 Present study examined links between social isolation, impulsiveness and relationship attachment in patients with gender dysphoria. Total number of patients was (N = 40) with age range of 25-40 years (M = 28.3; SD = 4.48). Sample was selected through purposive sampling method. To measure adult attachment styles, impulsiveness and social isolation, relationship questionnaire (RQ), impulsiveness scale(revised) and friendship scale was used respectively. Statistical analysis revealed that patients with gender dysphoria manifested higher levels of social isolation and impulsiveness. While, Pearson correlation analysis indicated significant negative correlation between impulsiveness and social isolation. Moreover, results of linear regression analysis identified all attachment styles as significant predictors of social isolation. In addition, secure attachment style is significant negative predictor of attention impulsiveness and non-planning impulsiveness. Furthermore, the pre-occupied attachment style positively predicts the non planning impulsiveness and attention impulsiveness. Similarly, dismissing attachment style negatively predicts non-planning impulsiveness. Findings of the study can provide a significant aid for mental health practitioners working with gender dysphorics. It can also help in developing a better management plan as it gives more insight in understanding different aspects of their psychological life.
Optimal Design of Three-Phalanx Prosthesis Underactuated Fingers Using Genetic Algorithm

This research is interested to investigate the optimum design procedure for a finger driving mechanism to have a proper configuration of the finger for its utilization in hand prosthesis. To get this goal, a Genetic Algorithm (G.A) was used. Three criteria were selected to find the optimal solution. The most important of them was the percentage of the grasping stability. This criterion was evaluated as must type by using Kepner-tregos method. When the optimal solution was found, this one was modified to facilitate the fabrication of a prototype. The modifications consist of mostly rounding the parameters and uniforming the rollers dimensions. Those changes did not affect too much the forces characteristics. The prosthetic hand prototype was built of hard ABS (Acrylonitrile Butadiene Styrene) plastic using rapid prototyping. Testing results indicate that the proposed Genetic Algorithm gives reasonable -quality results in short computation time.
Foreign law firms in China : the role of relationships and networks

Despite the growing role of law firms in the economic system and the increasing international scale of their activities, thus far very limited research has been conducted on global law firms’ market entry and development process in emerging markets. The main objective of this paper is to contribute to fill this gap providing empirical evidence on the market entry and further development process of global law firms in leading emerging markets. To achieve this goal this paper examines the “embedding process” of main Italian law firms in the Chinese market. In order to frame the empirical analysis this paper adopts the business network model of internationalization processes, as recently proposed as a revision of the Uppsala model. The research methodology is qualitative and is based on the development of five case-studies of leading Italian law firms active in the Chinese market. Preliminary findings highlight, as the business network model underlines, the role of networks in the selection of the foreign market and in the implementation of the presence in China by Italian law firms. In this respect, learning processes play a relevant role in the “embedding process” in terms of accumulation of experience and acquisition of contextual knowledge. Preliminary empirical results show also the relevance of the adoption of ad hoc internal organizational mechanisms to strengthen the commitment to relationships with customers and partners.
Smart Contracts: Building Blocks for Digital Markets

The contract, a set of promises agreed to in a "meeting of the minds", is the traditional way to formalize a relationship. While contracts are primarily used in business relationships (the focus of this article), they can also involve personal relationships such as marraiges. Contracts are also important in politics, not only because of "social contract" theories but also because contract enforcement has traditionally been considered a basic function of capitalist governments.
COMPARATIVE GENOMIC STUDIES ON SOME FRESH WATER AND MARINE FISHE USING F-AFLP AND SEQUENCING INTRON 5 OF GROWTH HORMONE GENE

Four fish species; two fresh water fish (Oreochromis niloticus L. and Tialpia zillii L.), and two marine fish (Liza ramada L. and Mugil cephalus L.) were used in this study. These species were collected from Damietta and Port Said Governorate, respectively. The current Amplified Fragment Length Polymorphism (AFLP) analysis was successfully able to determine that phylogenetic and reflected the species type and the habitats type. The Nile tilapia and Green-belly were grouped in the same sub-cluster which belongs to fresh water fish, while Toubar and Bouri were found in the other sub-cluster which belongs to marine fish. In contrast to the Principal Coordinate Analysis (PCoA) that showed the habitat in accordance with the majority of life time in fresh water that Toubar spend more time during its life cycle in the fresh water than the Bouri. Structure analysis showed that the Toubar was more closely to the two fresh water species. The ability of these differences among and within species according to Analysis of Molecular Variance (AMOVA) analysis refered to using samples under study with wide environmental range. Our current study for sequence of intron 5 of growth hormone (GH) gene showed differences between L. ramada, M. cephalus, O. niloticus and T. zillii which were successfully able to determine mutations and Deletion and Insertion nucleotides in intron 5 of GH gene between L. ramada, M. cephalus, O. niloticus nad T. zillii. Polymophic single nucleotide and the numbers of A, C, G and T nucleotides for each fragment of intron 5 of GH gene also were determined.
Whence GARCH ?

We develop an equilibrium asset-pricing model that provides an explanation for the new empirical facts in . nance, particularly the observance of volatility clustering. Agents in our model care about both consumption and wealth changes, similar to Barberis, Huang, and Santos (2001). Sensitivity to past investment performance in‡uences stock prices in such a way that, even when news about dividends is an IID process, return volatility exhibits properties similar to what is observed in monthly return data. Investors in our model use a mental scorecard to measure how far ahead (past gains) or behind (past losses) their portfolio is. As shocks move the scorecard from its expected level, investors change their level of risk aversion and become temporarily more sensitive to news. Gradually, investors become accustomed to the new level of wealth, restoring the levels of risk aversion and news sensitivity. The state-dependent sensitivity to news creates volatility clustering. We test speci.c and refutable implications of our model with monthly U.S. stock data. We . nd support for our model’s predictions that relate the scorecard to conditional volatility and skewness. We . nd limited support for our predictions regarding excess conditional returns.
Shortest Regular Category-Path Queries

A Shortest Regular Category-Path (SRCP) query is a variant of constrained shortest path queries, in which a candidate path of minimum total length has to visit a number of typed locations in a specific way according to a regular expression over the types (categories) of locations. The SRCP query is general and important, covering many interesting path queries such as trip planning queries, optimal sequenced route queries, optimal route queries with arbitrary order constraints. In this paper, we show that a wide class of the SRCP queries can be reduced to a series of single source shortest path searches on the input graph by using a dynamic programming formulation. As a result, we can freely exploit existing speedup techniques for single source shortest path searches to speedup the SRCP query computation. After that, we progressively engineer an efficient implementation for answering the SRCP query by using two forward and backward optimizations. Our experiments of queries on the full American road network (with over 20 million nodes and nearly 60 million edges) show that our solution is practical and scalable for large, real-world road networks.
Classification of Twitter Users Based on Following Relations

Recently, Twitter which provides both social networking and micro-blogging services has become the focus increasing attention. Twitter has a function called follow which allows a user to subscribe to another user’s information transmissions called tweets. Following is assumed to be based on a common interest or a shared attribute. In the following set (the set of Twitter accounts a user is following), if there are many different commonalities, we can consider that users are following each other based on a common attribute and that users in the set can be clustered on the basis of nature of the commonality.
Light Transport Acquisition via Selective Light Path Measurement

An active measurement, that senses the scene with a camera under controlled illumination, is one of the common techniques in computer vision field. Most of the conventional techniques rely on ideal light transport, or a response to the illumination of the scene. However, since an actual light transport depends on scene geometry and light behavior, undesired light transport such like inter-reflections and scattering could degrade the measurement. The goal of this thesis is to acquire desired light transport for further application such like to analyze the light behavior, to visualize the meaningful information, and to capture the appearance of objects in the real world, that are important tasks in the field of computer vision and computer graphics. To acquire the desired light transport, we focus on the light path from a light source to a sensor cell in the camera. In the conventional imaging, since the camera forms image by integrating all the light to sensor cells from various directions during exposure, the information of each path is lost. In order to acquire light transport before integration, we propose a selective path measurement. We control illumination and exposure to specify the path for the measurement. Our contribution also includes the proposal of the analysis and the application of the light transport.
Exploratory Browsing in the Web of Data

Thanks to the recent Linked Data initiative, the foundations of the Semantic Web have been built [2]. Shared, open and linked RDF datasets give us the possibility to exploit both the strong theoretical results and the robust technologies and tools developed since the seminal paper in the Semantic Web [1] appeared in 2001. In a simplistic way, we may think at the Semantic Web as a ultra large distributed database we can query to get information coming from different sources. In fact, every dataset exposes a SPARQL endpoint to make the data accessible through exact queries. If we know the URI of the famous actress Nicole Kidman in DBpedia [3] we may retrieve all the movies she acted with a simple SPARQL query. Eventually we may aggregate this information with users ratings and genres from IMDB. Even though these are very exciting results and applications, there is much more behind the curtains. Datasets come with the description of their schema structured in an ontological way. Resources refer to classes which are in turn organized in well structured and rich ontologies. Exploiting also this further feature we go beyond the notion of a distributed database and we can refer to the Semantic Web as a distributed knowledge base. If in our knowledge base we have that Paris is located in France (ontological level) and that Moulin Rouge! is set in Paris (data level) we may query the Semantic Web (interpreted as a set of interconnected datasets and related ontologies) to return all the movies starred by Nicole Kidman set in France and Moulin Rouge! will be in the final result set. The ontological level makes possible to infer new relations among data. The Linked Data initiative and the state of the art in semantic technologies led off all brand new search and mash-up applications. The basic idea is to have smarter lookup services for a huge, distributed and social knowledge base. All these applications catch and (re)propose, under a semantic data perspective, the view of the classical Web as a distributed collection of documents to retrieve. The interlinked nature of the Web, and consequently of the Semantic Web, is exploited (just) to collect and aggregate data coming from different sources. Of course, this is a big step forward in search and Web technologies, but if we limit our investigation to retrieval tasks, we miss another important feature of the current Web: browsing and in particular exploratory browsing (a.k.a. exploratory search) [7]. Thanks to its hyperlinked nature, the Web defined a new way of browsing documents and knowledge: selection by lookup, navigation and trial-and-error tactics [8] were, and still are, exploited by users to search for relevant information satisfying some initial requirements. The basic assumptions behind a lookup search,