Miracle-dz/UniFAR-FTUs huggingface dataset:
Ensemble Deep Network for Dense Vehicle Detection in Large Image

[Abstract] This paper has proposed an algorithm that detecting for dense small vehicle in large image efficiently. It is consisted of two Ensemble Deep-Learning Network algorithms based on Coarse to Fine method. The system can detect vehicle exactly on selected sub image. In the Coarse step, it can make Voting Space using the result of various Deep-Learning Network individually. To select sub-region, it makes Voting Map by to combine each Voting Space. In the Fine step, the sub-region selected in the Coarse step is transferred to final Deep-Learning Network. The sub-region can be defined by using dynamic windows. In this paper, pre-defined mapping table has used to define dynamic windows for perspective road image. Identity judgment of vehicle moving on each sub-region is determined by closest center point of bottom of the detected vehicle's box information. And it is tracked by vehicle's box information on the continuous images. The proposed algorithm has evaluated for performance of detection and cost in real time using day and night images captured by CCTV on the road.
Arab women as instructional leaders of schools: Saudi and Qatari female principals’ preparation for and definition of instructional leadership

ABSTRACT This qualitative study examined how female principals from two nations that recently opened up new avenues for women in educational leadership defined instructional leadership and what they did to prepare to become school principals. Using an open-ended survey and snowball sampling, female school leaders from Saudi Arabia and Qatar who led a diverse array of schools in size and grade configuration were asked questions regarding their professional and educational background and a variety of questions regarding what they did as principals that they considered representative of instructional leadership. This study adds to the small body of research regarding Arab female principals as instructional leaders as well as illustrates the knowledge and experience which led these women to their positions as educational leaders. Female principals from both countries viewed teacher supervision as their primary task as instructional leaders which included classroom observations and providing feedback to teachers. Saudi principals also described providing professional development for their teachers as part of their instructional leadership. Experience as teachers was identified as the primary preparation to become an instructional leader followed by degree completion and pursuit of additional training.
A Testable Robust Stability Framework for the Variable Impedance Control of 1-DOF Exoskeleton With Variable Stiffness Actuator

We present a framework for achieving a robust stability test of the variable stiffness actuator (VSA) exoskeleton programmed with the gain scheduling-based variable impedance control (GSVIC). In this brief, the focused impedance control framework involves the cascaded position torque control loop, in which both control loops are closed, and the index of the GSVIC is related to the joint torque of the human. However, there is a lack of research on the variation rate of such a biofeedback signal. This lack of information is necessary when performing the robust stability test of the linear parameter-varying (LPV) system. To acquire a bounded variation rate, the mechanical stiffness variation component of the VSA is used to transfer the biofeedback information into the GSVIC. In this case, the LPV system has only one variable parameter with the known and bounded variation rate, i.e., the physical stiffness of the VSA. The operating range of the impedance controller, determined from the test of robust stability via parameter-dependent Lyapunov functions, can meet our application requirements. The whole control system follows the paradigm of the variable impedance task in accordance with human intention. The effectiveness of the control scheme is experimentally verified on a VSA prototype and two subjects wearing the VSA exoskeleton.
HDS: A Fast Hybrid Data Location Service for Hierarchical Mobile Edge Computing

The hierarchical mobile edge computing satisfies the stringent latency requirements of data access and processing for emerging edge applications. The data location service is a basic function to provide data storage and retrieval to enable these applications. However, it still lacks research of a scalable and low-latency data location service in the environment. The existing solutions, such as DNS and DHT, fail to meet the requirement of those latency-sensitive applications. Therefore, in this article, we present a low-latency hybrid data-sharing framework, HDS. The HDS divides the data location service into two parts: intra-region and inter-region. More precisely, we design a data sharing protocol called Cuckoo Summary to achieve fast data localization in intra-region. Furthermore, for the inter-region data sharing, we develop a geographic routing based scheme to achieve efficient data localization with only one overlay hop. The advantages of HDS include short response latency, low implementation overhead, and few false positives. We implement the HDS framework based on a P4 prototype. The experimental results show that, compared to the state-of-the-art solutions, our design achieves 50.21% shorter lookup paths and 92.75% fewer false positives.
Advanced acoustic signal analysis used for wheel-flat detection

One of the most important aspects in the operation of rail vehicles is the implementation of transport while ensuring safety and comfort of passengers. Technical condition of the wheel rolling surfaces has a direct impact on these factors. These elements are subject to wear and tear in a continuous and discrete form. One of the discrete wear forms is the wheel-flat on wheel rolling surfaces that generate impulse noise. This translates into a significant deterioration of vibroacoustic comfort, and in extreme cases also to a greater risk associated with e.g. derailment of the vehicle. Therefore, it is desirable in particular by the rolling stock operator to carry out cyclic diagnostics and monitoring of the condition of wheel rolling surfaces. This paper is a continuation in a series of research articles carried out by the authors related to vibroacoustic diagnostics of wheel rolling surfaces in light rail vehicles. As part of this article, acoustic measurements were carried out at a dedicated track-side system during so-called pass-by tests. Acoustic signals were analyzed in accordance with the Fourier and Hilbert transforms. Additionally, the main assumptions of vibroacoustic diagnostics and analyses of point measures were used. This allowed for the development of yet another way of monitoring the occurrence of the problem of wheel flats in rail vehicles.
Automatic machinery fault detection via using distributed sensor information

It is critical in intelligent manufacturing that monitors devices to sustain normal status. Recently, the artificial intelligence‐powered diagnosis is the key in smart monitoring process and has become a hot topic in the engineering field. In previous diagnostic methods, complete failure samples are the premise to activate the intelligent diagnostic model. However, the actual failures of the mechanical diagnostic are far more than that we can obtain under running state in advance. In order solve this issue, this paper adopts Generative Adversarial Networks (GAN) by using simulated data to obtain complete failure samples, which builds a bridge between artificial intelligent model and mechanical fault diagnostic system. In mechanical diagnostic system, we first use finite element simulation to generate the missing fault samples. The generated and existing fault samples are supplemented each other to construct complete failure samples. The complete failure samples are used as training set to train an intelligent model which is used to predict the status for future status of mechanical system. The status of mechanical system is represented as the signal from distributed sensors. The fault diagnostic system is verified on a public mechanical system dataset and the results demonstrate it is superior to previous ones.
Evaluation of a quality assurance framework for promoting quality research, innovation and development in higher education institutions in Zimbabwe

In the spirit of quality assurance, this paper presents a self-evaluation and peer review of the external quality assurance framework for research implemented by the national quality assurance agency for Zimbabwe. Documentary analysis and semi-structured interviews were used to develop a self-evaluation report which was then subjected to international peer review as is the norm in quality assurance evaluations. The evidence from self-evaluation indicates that the quality assurance framework generated significant improvement in the quality and quantity of research with gaps identified in doctoral training and supportive structures for research. Peer review recommended the inclusion of a performance-based research funding arrangement akin to the Research Excellence Framework (REF) used in the United Kingdom whilst throwing caution on the contentious nature of the REF. The paper recommends the development, implementation, and review of quality assurance frameworks for research to guide institutions, enhance research, and to maintain consistency and harmony in the research system. These findings can be adapted by different national quality assurance agencies involved in the regulation, promotion, and enhancement of the quality of teaching, innovation, knowledge production, and engagement/outreach in higher education.
Research and Application of Multipath Network Time Service System

The time source of this paper is based on Shanghai Laboratory of National Time-Frequency Measurement Center. The target of this paper is to build a multipath network timing system within the wide area network which could make sure the accuracy, reliability and safety of network time service. This Multipath Network Time Service System also playing an influential role in providing dedicated network time services for seconds-level time-demanding industries. The pharmacological analysis of the medical industry is used as a service demonstration case to verify and promote the application of the multi-path network timing system.
Big data platforms: in the lens of selection and evaluation approach

ABSTRACT The manifestation of big data has brought about firms’ intense desires for analytical value creation besides crucial challenges to handle data processing. Unlocking the potentials of big data analytics depends on devising and setting up platforms through the big data value chain. Achieving these appropriate platforms is indispensable and necessitates a selection and evaluation method. To that end, in this research, a new fuzzy superiority and inferiority ranking approach for selecting and evaluating big data platforms has been investigated; and introduced. In the proposed approach, both functional and non-functional criteria for the big data platform were gathered and customized. For demonstrating the applicability of the method, a numerical example provided; and the suggested approach was used in a company case that had been encountered with this platform acquisition problem. Simplifying assessment and selection of the big data platform, and feasible procedure are the main values of the offered approach. The proposed approach is beneficial for buyer firms, vendors and industries of big data, considering more accurate evaluations and making better acquisition decisions.
A Dense Multilevel 30-Sided Space Vector Generation Using a Single DC Link for an Induction Motor Drive

Modulation using a higher sided polygonal space vector structure (SVS) is an elegant method to increase the linear modulation range and to eliminate the undesired lower order harmonics from motor phase voltage. This article presents the generation of a dense 15-concentric 30-sided multilevel SVS using a single dc-link for an open end induction motor (OEIM) drive. The proposed scheme eliminates lower order harmonics till 25th order from motor phase voltage throughout the modulation range. The $dv/dt$ stress in the phase voltage applied to the motor will also be highly reduced owing to the multilevel structure. The pulsewidth modulation scheme employed utilizes the denseness of SVS and avoids iterative searches to find the triangle, which encompasses the tip of reference voltage vector, which are typical in multilevel polygonal SVS. The topology consists of an active dc-link fed three-level primary inverter and a capacitor fed five-level secondary inverter connected to either end of an OEIM. The primary inverter acts as the active power supplier for the drive and the secondary inverter filters out the undesirable lower order harmonics from motor phase voltage. The proposed scheme is experientially validated and the results are included in this article.
RFID Indoor Positioning Method Based on Received Signal Strength Indication

RFID indoor positioning technology has a good application prospect. This paper analyzes the RFID indoor positioning method based on received signal strength indication (RSSI). First, the indoor signal propagation model is constructed, the model parameters are estimated using the weighted least squares method, and then the received signal strength indication is used to estimate the distance between the target to be located and the reader at the known position. This method has certain practical value.
Research on the Architecture of Convolutional Neural Network Accelerator

Convolutional neural networks are widely used in human production and life, but due to their large amount of calculation and complex calculation mode, their calculation speed is slow, so it is necessary to design a dedicated hardware accelerator. This paper firstly analyzes the algorithm of the convolutional neural network and decomposes the algorithm into multiple basic operations. For the convolution operation with the largest amount of calculation and complex operation mode, a near calculation storage array is designed according to its operational characteristics. Furthermore, a convolutional neural network accelerator architecture is proposed to realize the fast operation of a convolutional neural network.
Rectifier Circuit using High-Impedance Feedback Line for Microwave Wireless Power Transfer Systems

Research on wireless power transmission technology is being actively conducted, and studies on spatial transmission methods such as SSPS are currently underway for applications such as power transfer to the upper part of steel towers and power transfer to flying objects such as drones. To enable such applications, it is necessary to examine the configuration of the power-transfer and power-receiving antennas and to improve the RF-DC conversion efficiency (hereinafter referred to as conversion efficiency) of the rectifier circuit on the power-receiving antenna. To improve the conversion efficiency, various methods that utilize full-wave rectification rather than half-wave rectification have been proposed. However, these come with problems such as a complicated circuit structure, the need for additional capacitors, the selection of components at high frequencies, and a reduction in mounting yield. In this paper, we propose a method to improve the conversion efficiency by loading a high-impedance microstrip line as a feedback line in part of the rectifier circuit. We analyzed a class-F rectifier circuit using circuit analysis software and found that the conversion efficiency of the conventional configuration was 54.2%, but the proposed configuration was 69.3%. We also analyzed a measuring circuit made with a discrete configuration in the 5.8-GHz band and found that the conversion efficiency was 74.7% at 24 dBm input. key words: wireless power transfer, rectifier circuit, feedback line, microwave frequency, quasi-millimeter and millimeter-wave frequency
Sensibilidad de Phytophthora infestans a extractos acuosos de Lippia origanoides y Origanum vulgare

Introducción. Phytophthora infestans (Mont.) de Bary, es considerado el agente causal de una de las enfermedades más devastadoras y limitantes de cultivos de papa (Solanum tuberosum L.) en el departamento de Nariño (Colombia). Esta enfermedad es controlada con fungicidas sistémicos, los cuales tienen un impacto negativo sobre el ambiente e incrementan los costos de producción, sin embargo, existen alternativas como los denominados fungicidas orgánicos, los cuales se basan en el uso de extractos de plantas con propiedades antifúngicas para el control del patógeno. Objetivo. Evaluar extractos acuosos de O. vulgare y L. origanoides para el control de P. infestans bajo condiciones in vitro. Materiales y métodos. La presente investigación se desarrolló en el Laboratorio de microbiología del grupo de investigación en Genética y Evolución de Organismos Tropicales (GENPAT) de la Universidad de Nariño, durante el año 2017. Se evaluó la sensibilidad in vitro de P. infestans frente a extractos de las especies botánicas Lippia origanoides (orégano silvestre) y Origanum vulgare (orégano común). Resultados. Los datos obtenidos permitieron el establecimiento de la línea base de comportamiento de las poblaciones del patógeno frente a los compuestos evaluados, hubo una reducción gradual tanto en el crecimiento como en la esporulación cuando se empleó el extracto de Lippia origanoides y que este mismo tiene la capacidad de controlar el patógeno en concentraciones de 100 mg ml-1. Con el empleo de Origanum vulgare los aislamientos de P. infestans presentaron diferentes niveles de sensibilidad al compuesto con bajos niveles de inhibición y altos valores de EC-50. Conclusión. Los aislamientos de P. infestans presentaron diferentes niveles de sensibilidad frente a los dos extractos acuosos evaluados, con una reducción del 100 % en la inhibición del crecimiento radial y la esporulación a partir de la concentración de 100 mg ml-1, cuando se empleó el extracto de L. origanoides.
The Using the Words HEAD, HEART and HAND in Arabic Idioms and How to Render their Meanings into English

Translation is the process of rendering a unit from one language (Source Language) into another (Target Language). When it comes to idioms (fixed expressions consisting of two words or more giving a meaning different from the meaning of the individual words), the translators are going to face a number of troubles. This study focuses on translating the Arabic idioms that contain the words HEAD, HEART or HHAND. The methodology of this study is based on a number of statements collected verbally or through written texts and expressing the meaning by paraphrasing them. The results show that none of the Arabic idioms used in this study have equivalences in English language and so, what is shown are the paraphrased meaning for each. Key words: translation, idiom, paraphrasing.
EVALUATION OF RENOPROTECTIVE EFFECT OF CILNIDIPINE IN PATIENTS WITH MILD TO MODERATE HYPERTENSION AND TYPE 2 DIABETES MELLITUS – A PROSPECTIVE STUDY

Objective: The objective of the study was to evaluate the renoprotective effect of cilnidipine by estimating urinary albumin and creatinine levels in mild-to-moderate hypertension (HTN) with type 2 diabetes mellitus (DM) and also evaluate the adverse drug profile of cilnidipine in the same patients. Methods: This was a single-center, prospective, open-labeled, randomized study. A total of 60 patients of either gender aged between 30 and 60 with mild-to-moderate HTN with type 2 DM were included in the study. Urine albumin and urine creatinine were measured at day 1 and day 181. Blood pressure (BP) was measured in all visits. The drug cilnidipine at a dose of 10–20 mg oral was given and the corresponding improvement in the levels of urine albumin and other parameters was identified. Results: There was a significant reduction in the mean systolic BP from 150.07±5.44 mmHg in visit 0 to 123.03±5.23 mmHg in visit 3. And also, there was a significant reduction in the mean diastolic BP from 95.5±8.15 mmHg in visit 0 to 80.8±2.42 mmHg in visit 3. The mean heart rate at visit zero was 76.71±4.86. At the end of 6 months of treatment, there was a significant reduction to 70.63±2.74. There was a significant reduction in the microalbuminuria from 66.62±8.39 to 38.8±6.45. The mean reduction was 27.56±10.25. There was no change in the creatinine level. Conclusion: The study reveals that the drug cilnidipine is safe and effective in reducing the microalbuminuria and also effectively reduces BP in hypertensive patients. Hence, the drug cilnidipine can be safely administered to the patient with diabetes and HTN.
PROPHYLAXIS AGAINST ORGANOPHOSPHORUS POISONING

The terms prophylaxis and pre-treatment of organophosphorus (OP) poisoning (including nerve agent poisoning) are discussed. Some treatments to increase the resistance of an organism against the effects of these OP poisons have been developed and are based on the administration of reversible cholinesterase inhibitors. Reversibly inhibited carbamylated cholinesterase enzyme is resistant to subsequent inhibition by OP; it quickly and spontaneously decarbamylates and, thus, serves as a source of normal (uninhibited) enzyme. The administration of therapeutic drugs (antidotes) used for the treatment of OP intoxication is another approach for prophylaxis. Treatments causing a decrease of the level of OP in the blood stream are yet another approach for prophylaxis. Three prophylactics that have been introduced for use by military forces are pyridostigmine bromide alone, pyridostigmine with anticholinergics (PANPAL), and HI-6 for transdermal administration (TRANSANT). Administration of cholinesterase preparations and transdermal administration of physostigmine are new treatment modalities under intensive research.
The MCT1 gene Glu490Asp polymorphism (rs1049434) is associated with endurance athlete status, lower blood lactate accumulation and higher maximum oxygen uptake

The purpose of this study was to explore the association of the MCT1 gene Glu490Asp polymorphism (rs1049434) with athletic status and performance of endurance athletes. A total of 1,208 Brazilians (318 endurance athletes and 890 non-athletes) and 867 Europeans (315 endurance athletes and 552 non-athletes) were evaluated in a case–control approach. Brazilian participants were classified based on self-declared ethnicity to test whether the polymorphism was different between Caucasians and Afro-descendants. Moreover, 66 Hungarian athletes underwent an incremental test until exhaustion to assess blood lactate levels, while 46 Russian athletes had their maximum oxygen uptake (V⋅O2max ) compared between genotypes. In the Brazilian cohort, the major T-allele was more frequent in Caucasian top-level competitors compared to their counterparts of lower competitive level (P = 0.039), and in Afro-descendant athletes compared to non-athletes (P = 0.015). Similarly, the T-allele was more frequent in European athletes (P = 0.029). Meta-analysis of the Brazilian and European cohorts confirmed that the T-allele is over-represented in endurance athletes (OR: 1.48, P = 0.03), especially when Afro-descendant athletes were included in the meta-analysis (OR: 1.58, P = 0.005). Furthermore, carriers of the T/T genotype accumulated less blood lactate in response to intense effort (P < 0.01) and exhibited higher V⋅O2max (P = 0.04). In conclusion, the Glu490Asp polymorphism was associated with endurance athletic status and performance. Our findings suggest that, although ethnic differences may exist, the presence of the major T-allele (i.e., the Glu-490 allele) favours endurance performance more than the mutant A-allele (i.e., the 490-Asp allele).