Miracle-dz/UniFAR-FTUs huggingface dataset:
STATUS OF THE AIRLIE ISLAND CTENOTUS , CTENOTUS ANGUSTICEPS ( LACERTILIA : SCINCIDAE ) , WITH NOTES ON DISTRIBUTION , HABITAT AND GENETIC VARIATION

The scincid lizard, Ctenotus angusticeps was previously only known from a single island (Airlie Island) and two disjunct mainland localities in Western Australia. As a result of its restricted distribution and little documentation, it has for some time been listed under both state and federal legislation. Recent surveys have revealed additional populations along the northwestern coast, which appear to be highly restricted to specific habitats, primarily salt marsh communities adjacent to mangroves where lizards shelter down crab holes. Genetic analysis of mitochondrial DNA shows very little variation between populations, suggesting a single widespread population or recent radiation. In light of this additional information the conservation status of C. angusticeps is evaluated.
Implementation Advance Technique for Prediction Bug Using Machine Learning

In this paper we have illustrate comprehensive review of dissimilar machine learning technique for software Mandelbug prediction. Mandelbug prediction is identified as one most important neighbourhood to predict the prospect that the software encloses Mandelbug. The objective of the Mandelbug prediction is to categorize the software module in the category of Mandelbug and non-faulty modules as early on as probable in software development life cycle. Mandelbug prediction model with object orient metrics values from web application as input values to the genetic algorithm to envisage the fault probability. Previous research has exposed that compiler variety could assist to avoid frequent defects from compilers and get better the fault tolerance. though, as far as we identify, this is the primary work assess diverse compiling to assist to detect bugs in the source code of the execute software during runtime. To Proposed Implementation Advance Technique For Prediction Bug Using Support vector machine based on bayesian classification.
Tagging a spontaneous speech corpus of Spanish

This paper describes the experience of tagging the Spanish corpus of the C-Oral-Rom project with morphological and POS information. This is a spontaneous speech corpus of 300.000 words that covers a great variety of language registers (formal and informal speech, media, telephone recordings). In total, there are 19.206 different words (types). Social features as sex, age or education have been taken into account for the sampling. All the recordings have been set in their real context without any restriction or scripted design. In order to estimate the difficulty of the task, firstly we divide the performance of the tagging system into four classes: names, ambiguous words, nonambiguous words, and unknown words. Then we present the training of the system, and finally the evaluation.
Analysis of Hyperlinks and DOM Comparison for Site-Level Web Template Extraction ?

Web templates are one of the main development resources for website engineers. Templates allow them to increase productivity by plugin content into already formatted and prepared pagelets. For the final user templates are also useful, because they provide uniformity and a common look and feel for all webpages. However, from the point of view of crawlers and indexers, templates are an important problem, because templates usually contain irrelevant information such as advertisements, menus, and banners. Processing and storing this information leads to a waste of resources (storage space, bandwidth, etc.). It has been measured that templates represent between 40% and 50% of data on the Web. Therefore, identifying templates is essential for indexing tasks. In this work we propose a novel method for automatic web template extraction that is based on similarity analysis between the DOM trees of a collection of webpages that are detected using an hyperlink analysis. Our implementation and experiments demonstrate the usefulness of the technique.
Perceptions of local residents and authorities on human – wildlife coexistence in Zimbabwe

Human–wildlife conflicts (HWCs) in human–wildlife coexisting communities have emerged as a direct impediment to sustainable conservation tourism in the protected areas (PAs). Despite the overemphasised prospects for conservation tourism redeeming worn-out economies in the human–wildlife coexisting communities, the resurgence of HWCs has resulted in the host communities’ resistance to human–wildlife coexistence (HWC). Subsequently, the community resistance to coexistence is a further deterrent to sustainable conservation tourism development. Based on the Victoria Falls case, this paper seeks to investigate HWCs affecting tourism development in human–wildlife coexisting communities, with the subsequent aim of suggesting policy and recommendations that promote symbiosis for sustainable tourism in terms of the communities residing in Zimbabwean PAs. Surveys and interviews were conducted with 265 household resource-related persons. The findings revealed that human population growth and urbanisation contribute significantly to HWCs in Victoria Falls. Furthermore, the results show that, despite the existing HWCs, the majority of the residents are open to HWC, if the processes of policy formulation and implementation inclusively embrace full local residents’ participation.
Research on Chinese Patent Infringement Detection Algorithm Based on Semantic Extended Vector Space Model

As the core-competitiveness of enterprises, patent infringement litigation is becoming more frequent at present. Once companies are involved in patent infringement disputes, they usually spend a lot of time and energy to deal with it. In this paper, the Word2Vec word vector model is trained by some Chinese patent data samples and other Chinese corpus such as Wikipedia, and use this model to calculate the similarity between Chinese words. Then use traditional vector space model (VSM) and Word2Vec model to calculate the similarity of Chinese patent claims. Using similarity to determine whether a patent is infringed. This paper provides an effective method for the retrieval of patent infringement related personnel patent examiners and patent owners, etc.
Preference-Aware Task Assignment in Spatial Crowdsourcing: From Individuals to Groups

With the ubiquity of smart devices, Spatial Crowdsourcing (SC) has emerged as a new transformative platform that engages mobile users to perform spatio-temporal tasks by physically traveling to specified locations. Thus, various SC techniques have been studied for performance optimization, among which one of the major challenges is how to assign workers the tasks that they are really interested in and willing to perform. In this paper, we propose a novel preference-aware spatial task assignment system based on workers’ temporal preferences, which consists of two components: History-based Context-aware Tensor Decomposition (HCTD) for workers’ temporal preferences modeling and preference-aware task assignment. We model workers’ preferences with a three-dimension tensor (worker-task-time). Supplementing the missing entries of the tensor through HCTD with the assistant of historical data and other two context matrices, we recover workers’ preferences for different categories of tasks in different time slots. Several preference-aware individual task assignment algorithms are then devised, aiming to maximize the total number of task assignments at every time instance, in which we give higher priorities to the workers who are more interested in the tasks. In order to make our proposed framework applicable to more scenarios, we further optimize the original framework by proposing strategies to allow each task to be assigned to a group of workers such that the task can be completed by these workers simultaneously, wherein workers’ tolerable waiting time, consensus, and tasks’ rewards are taken into consideration. We conduct extensive experiments using a real dataset, verifying the practicability of our proposed methods.
Relationship between clinical symptomatology on the isolation of Salmonella Gallinarum of japanese quail ( Coturnix coturnix )

Salmonella Gallinarum is capable of causing high mortality in birds of the order Galliformes. This study aimed to relate the presence of clinical signs with the recovery of Salmonella Gallinarum from organs and c loacal swabs of Japanese quails (Coturnix coturnix) experimentally infected. A total of 70 female quails were housed in a pair per cage and divided in two groups (IG: quails inoculated with 1.5x10 6 CFU of Salmonella Gallinarum Nal r /mL and CG: control group). After the inoculation, birds were evaluated three times a day to verify the presence of clinical signs. Birds that presented ruffled feathers, eyes closed and remained quiet in the cage were removed for euthanasia, as well as the same number of birds from the inoculated groups that presented no clinical signs and from the control group. Cloacal swabbing was performed following euthanasia for the sampling of liver, spleen, caeca, ovarian follicles and lung for microbiological procedure. Quails with clinical signs and quails found dead presented positivity of 100%. While inoculated quails with no clinical signs presented a lower positivity (38.5%). Therefore, quails with septicemia caused by SG present clinical signs of the disease and the pathogen can be isolated and quantified in the organs.
The Science of Harmony: A Psychophysical Basis for Perceptual Tensions and Resolutions in Music

This paper attempts to establish a psychophysical basis for both stationary (tension in chord sonorities) and transitional (resolution in chord progressions) harmony. Harmony studies the phenomenon of combining notes in music to produce a pleasing effect greater than the sum of its parts. Being both aesthetic and mathematical in nature, it has baffled some of the brightest minds in physics and mathematics for centuries. With stationary harmony acoustics, traditional theories explaining consonances and dissonances that have been widely accepted are centred around two schools: rational relationships (commonly credited to Pythagoras) and Helmholtz's beating frequencies. The first is more of an attribution than a psychoacoustic explanation while electrophysiological (amongst other) discrepancies with the second still remain disputed. Transitional harmony, on the other hand, is a more complex problem that has remained largely elusive to acoustic science even today. In order to address both stationary and transitional harmony, we first propose the notion of interharmonic and subharmonic modulations to address the summation of adjacent and distant sinusoids in a chord. Based on this, earlier parts of this paper then bridges the two schools and shows how they stem from a single equation. Later parts of the paper focuses on subharmonic modulations to explain aspects of harmony that interharmonic modulations cannot. Introducing the concept of stationary and transitional subharmonic tensions, we show how it can explain perceptual concepts such as tension in stationary harmony and resolution in transitional harmony, by which we also address the five fundamental questions of psychoacoustic harmony such as why the pleasing effect of harmony is greater than that of the sum of its parts. Finally, strong correlations with traditional music theory and perception statistics affirm our theory with stationary and transitional harmony.
CCP based ECU communication with calibration tool

Today’s automobiles contain a number of different electronic components networked together that as a whole are responsible for monitoring and controlling the state of the vehicle . Modern automobiles contain upwards of 50 electronic control units (ECUs) networked together. The essential safety of the vehicle depend on on near real time communication between these various ECUs. In automotive system different car domains have led to the development of a large number of automotive networks according to their requirements. CAN (Controller Area Network) bus has been widely used in automotive embedded control systems, as well as other industrial monitoring and control systems due to its high speed of communication, good reliability and fault tolerant capability. Communication using CAN protocol reduces wiring harness in vehicle. The CAN Calibration Protocol, which is commonly referred to as CCP, is essentially a software interface used to interconnect ECU calibration and measurement tool with an Electronic Control Unit (ECU). Calibration tool provides for the acquisition of data from the ECU and vehicle busses such as CAN, LIN, Ethernet, and Flex Ray. In this way interface describes methods to handle module calibration, measurement data acquisition, and flash programming actions. ©ACCET-2015. All rights reserved
Collectively Intelligent Prediction in Evolutionary Multi-agent System

In the paper a summary of our previously realized and published work connected with constructing collective intelligent evolutionary multi-agent systems for time series prediction, based on multi-layered perceptrons is shown. Besides recalling our past papers, we describe the whole concept, present an implementation in a contemporary, componentoriented software framework AgE 3.0 and we conduct a number of experiments, finding different optimal parametrization for the considered instances of the problems (popular Mackey-Glass chaotic time series). The paper may be useful for a practitioner willing to use our meatheuristic algorithm (EMAS) along with the idea of collective agent-based system in order to realize prediction tasks.
The Effect of Cooperative Problem Based Learning (CPBL) Model with Scaffolding on Studentsr Cognitive Learning Achievement of Eleventh Grade Science Class at Coastal Area in Yogyakarta

This study aimed to determine the effect of CPBL model on students' cognitive learning achievement of eleventh-grade science class at the coastal area in Yogyakarta. This study was quasi experimental study. All of eleventh grade science class at the coastal area in Yogyakarta as population. Sampling technique using cluster random sampling included 172 students of three high schools as the representative region of east, middle, and west coastal area (SMAN 1 Panggang, SMAN 1 Srandakan, SMA Negeri 1 Temon). The assessing of students’ cognitive learning achievement by using test instrument included 20 items on Digestive System material. Non-test technique uses observation method to determine the applicable syntax of CPBL model with scaffolding by using students’ worksheet. Research design uses the pretest-posttest non-equivalent group design. Experiment class using CPBL model with scaffolding included:1) environmental provisions; 2) problem restatement and identification; 3) explaining, reviewing, and restructuring; 4) peer teaching synthesis and solution formulation; 5) developing conceptual thinking; 6) generalization, closure, and internalization. Control group using the expository method. Data were analyzed using t-test with significant (5%). The results of the study showed CPBL model with scaffolding gave a positive effect on students’ cognitive learning achievement (0,00). Based on the results of the study can be concluded that CPBL model with scaffolding was influenced on students’ cognitive achievement. Keywords—CPBL model with scaffolding; students’ cognitive achievement; coastal area
SkillCourt Autonomous Ball Launcher

SkillCourt is a proposed soccer training system to develop player cognitive and decision making skills using computer-aided technology and automated feedback capabilities. Our goal is to incorporate an autonomous ball delivery system that will track the user and interact with the SkillCourt software; thus, allowing for maximum customization and computer aided training. Ball delivery systems are already common and widely used in sports such as tennis, football, and baseball. These devices have similar traits in means of function and purpose, but most lack autonomy and diversity in the complexity of delivery. For soccer, there are both advanced and basic machines that are capable of various shots and passes available on the market. On the other hand, these systems do not have automatic and user based capabilities as well as costs that are in reach of a common household or academy. Our main design concerns will include movement capabilities of the ball delivery mechanism, independent loading and unloading of a ball, user tracking, and automatic delivery integration with the SkillCourt software. The team has delivered a unique prototype with many customizations (i.e. three degrees-of-freedom, microcontroller system, Open Cv tracking, auto loading, and SkillCourt software) of which have been implemented. Lastly, the team will continuously optimize and calibrate the functionality and accuracy of the system. Soccer is a worldwide sport played by nearly every culture and background, an automatic training system will have great potential for both youth and professional levels of global
FromWords to Emoticons: Deep Emotion Recognition in Text and Its Wider Implications

: This paper summarizes several lexical methods for more comprehensive affect recognition in text using an example of typed utterances. We introduce a set of algorithms that are capable of recognizing emotions of user’s statements in order to achieve more effective and smoother human-machine conversation. Aspects often neglected by existing systems working with Japanese language, e
An Adaptive Reconfiguration Mechanism for Periodic Software Rejuvenation based on Transient Reliability Analysis

While software rejuvenation is used to prevent severe software failures, existing researches generally choose the constant-value periodic policy through steady-state reliability optimization. Since the software reliability declines with the execution time, a steady policy either introduces extra overhead or could not guarantee the reliability constraints. So an adaptive mechanism is proposed to reconfigure the software rejuvenation in the runtime. The transient reliability analysis is used to choose an optimal rejuvenation policy which maintains the software reliability for a certain period of time. A dynamic time series is generated for the reconfiguration process and the optimal rejuvenation policy is re-calculated according to the reconfiguration intervals during the software execution. Experimental studies results show that as the execution time increases, the software reliability drops continuously and the optimal rejuvenation interval should be decreased to maintain the same reliability constraints. This mechanism guarantees the software reliability constraint by resetting the optimal rejuvenation policy dynamically according to a reconfiguration interval time series.
A Magnetic Resonant Coupling Printed Spiral Coil System under Different Geometric Values

Recently, the wireless power transfer (WPT) technology is attracting attention widely because of the expanding use of portable devices. In WPT system, the coil formed on printed circuit board is used because it could be modified easily and captured in printed circuit board conveniently. A lot of studied have been proceeded to improve the power transmission efficiency. However, the optimum of coils geometric parameters on performance of coil system has not been fully explored yet. Consequently, three geometric parameters of printed square coil have been investigated for the effect on the power transmission efficiency coils while the other geometric parameters are remaining constant. As a result, we found that the optimum transmission efficiency improved by adjusting the width of copper wire, the pitch between adjacent wire and the thickness of wire. Moreover, a printed spiral coil board system has been designed and simulated based on the analysis above. The total power transfer efficiency is over 85% at 10mm equaling to half of coils diameter. Key–Words: Magnetic resonant, Wireless power transmission, Q factor, Optimum power transmission efficiency, Geometric value.
M Mobile Devices Authentication Based on Services Oriented Architecture Using Mobile Cloud Computing

Mobile cloud computing is a mobile paradigm which provide mobile user services with rich computation power. Its storage capacity with limited resources in hand that based on “pay-as-you-use” policy. There are some problems of security, quality of services, and application error to MCC services provider. There is need for mobile user and devices authentication within MCC. We are going to propose architecture for mobile devices/users/services authentication based on services oriented architecture in MCC. By using this proposed architecture we can authenticate the mobiles devices which are using different services through MCC. The services on MCC can be categorized for different mobile users and services that are restrict to the users to use the particular services which are offered according to their device specifications. By our proposed architecture we calculate the bandwidth, computing power limitations of mobile devices; we restrict that particular user to use services which are in the range of mobile device. We divide the application and services among the devices in MCC. So, we can achieve the quality of communication between mobile devices and MCC services by judgment of bandwidth of devices and reduced data delivery time in MCC.
Machine Vision for Embedded Devices : from Synthetic Object Detection to Pyramidal Stereo Matching

In this work we present an embedded and allin-one system for machine vision in industrial settings. This system enhances the capabilities of an industrial robot providing vision and perception, e.g. deep learning based object detection and 3D reconstruction by mean of efficient and highly scalable stereo matching. To this purpose we implemented and tested innovative solutions for object detection based on synthetically trained deep networks and a novel approach for depth estimation that embeds traditional 3D stereo matching within a pyramidal framework in order to reduce the computation time. Both object detection and 3D stereo matching have been efficiently implemented on the embedded device. Results and performance of the implementations are given for publicly available datasets, in particular the T-Less dataset for textureless object detection, Kitti Stereo and Middlebury Stereo datasets for depth estimation.
University of Southern Denmark CD 34 defines an osteoprogenitor cell population in mouse bone marrow stromal cells

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A Study on image analysis of Myristica fragrans for Automatic Harvesting

The traditional method of plucking Myristica fragrans by hand is tiresome and demands huge labour. One of the major tasks in harvesting is to identify matured fruits. This study illuminates the probability of identifying Myristica fragrans by using various Image processing techniques, which include image segmentation, feature extraction & edge detection, to achieve the required classification. The proposed study intends to provide efficient methods that will lead to automatic harvesting.