Miracle-dz/UniFAR-FTUs huggingface dataset:
LSTM-CNN network for human activity recognition using WiFi CSI data

Human Activity Recognition (HAR) has had a diverse range of applications in various fields such as health, security and smart homes. Among different approaches of HAR, WiFi-based solutions are getting popular since it solves the problem of deployment cost, privacy concerns and restriction of the applicable environment. In this paper, we propose a WiFi-based human activity recognition system that can identify different activities via the channel state information from WiFi devices. A special deep learning framework, Long Short-Term Memory-Convolutional Neural Network (LSTM-CNN), is designed for accurate recognition. LSTM-CNN is going to be compared with the LSTM network and the experimental results demonstrate that LSTM-CNN outperforms existing models and has an average accuracy of 94.14% in multi-activity classification.
Antibiotika aus Basidiomyceten, XV [1]. 1-Hydroxy-2-nonin-4-on, ein antifungischer und cytotoxischer Metabolit aus Ischnoderma benzoinum (Wahl.) Karst. / Antibiotics from Basidiomycetes. XV [1]. 1-Hydroxy-2-nonyn-4-one, an Antifungal and Cytotoxic Metabolite from Ischnoderma benzoinum (Wahl.) Karst.

A new antibiotic, 1 -hydroxy-2-nonyn-4-one (1), has been isolated from submerged cultures of several strains of Ischnoderma benzoinum. The compound exhibits high inhibitory activity against yeasts and filamentous fungi at concentrations of 1-5 μg/ml. DNA, RNA, and protein syntheses in cells of the ascitic form of Ehrlich carcinoma are strongly inhibited by the same concentrations.
Mathematical Model of Traffic Speed and Capacity in the Archipelago Base

The transportation engineering developing who the application of the principal use planning, analysis and design to the disciplines comprising transportation: its vehicles, physical infrastructure, safety in travel, environment impacts and energy usage. The mathematical model in base archipelago was not much enough to research by transportation practiced. It had been of characteristic which different mainland. This paper using greenshields and greenberg models for approach real condition of the base archipelago. In the transportation involves working with the businessman, with industry, with citizen group, with elected officials, and with employes to the joint each segment of the public strip depended on at least one constructed facility. In this time there three components that included the discussion of the traffic of a microscop scale were flow, density and speed. At the greenshields model, the speed-density relationship show whose the value of speed higher than value of density lower with determination value 0,9755 where the curve of flow-density relationship show the value determination 0,8634 and for curva of flow-speed relationship showing whose maximum value of flow 1807 vehicles/hour at the value traffic speed 46 km/hour, traffic speed which at the lower or it the higher, so it condition given impact that the value of flow will going to low. on the other hand for greenberg model at speed-density relationship’s determination 0,9463, density-flow relationship show that the value minimum of density is 25 vehicles/km while value of flow is 1400 vehicles/hour and the relationship between flow-speed curve show that value maximum flow 1750 vehicles/hour with value speed 37. Base the value of each condition, so the greenshields model was better than greenberg model for this research. The mathematical model of the traffic flow which approach the real condition for the base archipelago was greenshields model.
Underground space in metro area: constituent, influencing factors and improving strategies of the spatial vitality

Nowadays, the shortage of available urban land and the booming construction of urban subway are driving the rapid development of Underground Space in the Metro Area (USIMA) which is an important constituent in the compact development of cities. Spatial vitality, as one of the most important evaluation indicators for the layout of such metro-related underground space, is closely related to spatial efficiency. Therefore, taking Shanghai People’s Square Metro Station (SPSMS) as a case study, this paper investigated the variable factors of the spatial vitality in USIMA by using methods of space syntax, field investigation, and pedestrian counting. Results revealed that the spatial vitality of USIMA is comprehensively affected by related variables, including accessibility and visibility of spatial configuration, degree of functional mixture, layout of station hall as well as entrances/exits, and the organization of business forms. Finally, improvement suggestions and discussions are put forward from the aspects of entrance/exit layout, spatial organization, and functional distribution, to provide reference for future planning, design and optimization of USIMA with effective vitality.
The watering of trees. Embolization and recovery in xylem microtubes.

In any tree, crude sap is driven through xylem microtubes. The crude sap is submitted to intermolecular forces shaping it into very thin liquid films in embolized xylem microtubes. The concept of disjoining pressure must be taken into account and a strong negative pressure can be present in liquid-water bulks. The disjoining pressure gradient induced by the flux of transpiration initiates crude sap motion. Applications enable to understand why the xylem microtubes can be refilled and why the ascent of sap is possible even for the tallest trees avoiding the problems due to cavitation.
A Comparative Study of UWB Micro-strip Antenna for Wireless Communication and RF Energy Harvesting

Ultra Wide Band (UWB) is first-class famous technology in recent wireless communication since it affords excessive data rates and excellent high-quality offerings. FCC (Federal Communications Commission) opens a 7.5 GHz spectrum (extending 3.1 GHz - 10.6 GHz) in 2002 for wireless ultra-wide band system [1]. With high data rates of wireless communication technology, UWB is increasingly advancing and the micro-strip antenna is also being developed with bandwidths of 1 to 5%. However, within the ultimate decade, UWB has additionally been proposed as a RF energy harvester. The strategies which enhance bandwidth are one of the popular research areas in patch antenna’s field. The bandwidth is generally described as just a percent of the width of the desired frequency range and the resonant antenna frequencies. Other constraint like return loss, efficient radiation and VSWR (voltage standing wave ratio) are also accustomed to describe the bandwidth of a micro-strip antenna. Several things need to be considered into account in choosing an ideal aerial for Ultra-Wide Band including physical structure, performance and frequency band, and radiation quality and emission pattern.The major issue in UWB antenna system is to achieve only the wide bandwidth with high levels of radiation efficiency and compact size. So several method have been extensively investigated for the wide bandwidth of patch antenna and to optimize the qualities of array antenna, as described in various published articles in this survey paper.
Detection of Online Fake Reviews Based on Text Emotion

online groups offer clients with ways to overpower a few data hurdles and limitations, like the challenge to get self-governing data about movies and for the co-occurrence of positive and negative reactions within reviews. False reviews will disturb such choices because of misleading data, causing commercial disadvantages for the customers. Recognition of false opinions has thus expected very large concentration now days. But, many websites have only concentrated on handling the problematical comments and reviews. Our work tends to categorize people opinions into groups of true orfalse polarization by employing text feature analysis. In our work, our team analyze people opinions by implementing Sentiment Analysis techniques to recognize false opinions. Sentiment Analysis and text feature categorization techniques were used to a database containing people opinions. Furthermore, the estimation reviews acquired from reviewers could be categorized into good or bad opinions, that could be utilized by a customer to choose a movie. Further the proposed technique will graph based on the classification of true and fake reviews as the analysis of good and bad reviews for a product (movie). It will help us to predict the ratio of fake reviews to true reviews easily. To estimate the accomplishment of SA technique, this work has employed accurateness, exactness, recollection and F-degree as a performance rate.
Route Optimization of Unmanned Aerial Vehicle by using Reinforcement Learning

The study proposes the machine learning based algorithm for autonomous vehicle. The dynamic characteristic of unmanned aerial vehicle and real time disturbances such as wind current, obstacles are considered. The novelty of the work lies in the introduction of reinforcement learning for achieving optimized path which can be followed by the unmanned aerial vehicles to complete the tour from initial to destination point. The feasible optimal route may be found by incorporating the L algorithm with a reasonable optimality and computational cost when map and current field data are given.
Design and Test of a Multifunctional Mobile Manipulator Control System on an Experimental Platform

Mobile manipulators (MMs) performing the tasks of autonomous navigation, object grasp and transportation are widely used in industrial production and other domains. This paper presents a control system with multiple functions and good extendibility for a commonly configured MM, which controls the multi-degrees of freedom (DOF) movement of the MM while navigating, positioning, pose estimating and object grasp. This system has shown desirable control performance on an experimental platform.
Computer Vision based Early Electrical Fire-detection in Video Surveillance oriented for Building environment

This work presents autonomous electrical fire-detection and localization using computer vision based techniques. The proposed work uses YOLO v2 to extract the electrical fire features more effectively than other conventional and machine learning approaches. This working model is tested on commercial and residential building as well as indoor and outdoor environments. This framework has achieved high detection accuracy and low false alarm rate. Besides, the proposed frame work can be used for early real-time electrical fire detection in surveillance videos and we present experimental results for electrical fire localization in CCTV footage using the deep learning architecture proposed in this work.
Research on Vehicle Recognition Algorithm based on Convolution Neural Network

In order to effectively identify vehicle types in intelligent transportation system, based on the analysis of Inception V3 model, a deep learning model of vehicle classification based on transfer learning theory is proposed in this paper. In this model, the last full connection layer is removed on the basis of Inception V3 model, and the parameter optimization layer is added, and then Dropout and global average pooling layer are adopted. Theoretical analysis and experimental results show that the performance of this model is better than that of VGG-16-based vehicle classification model, Xception-based vehicle classification model and Resnet-50-based vehicle classification model. The experimental results show that the training accuracy of the method proposed in this paper is more than 96.48% and the test accuracy is more than 83.86%.
Contact line dynamics of gravity driven spreading of liquids

The spreading dynamics of the gravity-driven liquid motion on an inclined solid surface was studied by considering two fundamental physical models: the molecular kinetic theory and the hydrodynamic theory (HDT). The molecular kinetic theory is the most appropriate model to describe the gravity driven spreading mechanism investigated in this study. The gravity driven spreading which is one form of the forced spreading mechanism was compared with the spontaneous spreading for the same liquid/solid system from previous study by Mohammad Karim et al (2016 Langmuir 32 10153). Unlike the gravity driven spreading, the HDT was appropriate model to define the spontaneous spreading. This finding reveals the importance of the mechanism of spreading which are the forced and the spontaneous on the suitability of the physical model such as the molecular kinetic theory and the HDT to describe the spreading dynamics.
Determination of Isoflavones Using Liquid Chromatography with Electrochemical Detection

Mezi významne biologicke role izoflavonů patři take jejich vliv na karcinogenezi. Použili jsme injekcni průtokovou analýzu a HPLC s elektrochemickou detekci pro soucasne stanoveni různých izoflavonů (biochanin A, formononetin,sissotrin, daidzin, daidzein, glycitin, glycitein and genistein). Nejvhodnějsi chromatograficke podminky byly: mobilni faze: 0,2 mol L-1 acetatový pufr (pH 5,0); rychlost průtoku 2,0 mL min-1;teplota kolony a detektoru: 26 st. C; detekcni potencial: 800 mV. Podle těchto optimalnich podminek byl limit detekce v ng mL-1. Jejich soucasna detekce trvala 15 minut.
Indoor Model for Walking Environment using Mobile Mapping System

Walkability is one of the issues to be addressed in the planning of smart urban cities. Although, there is a substantial amount of studies on outdoor walking pedestrian, limited study has been done to address indoor walkability. Therefore, this study discussed the development of 3D indoor model to visualize the indoor walking environment carried out using mobile mapping system. The handheld scanner is used for its convenience to access narrow space and complex building structure. The indoor layout of the building is captured using this system by producing point clouds that represent the indoor environment. The building geometry and facilities are determined by point cloud segmentation to segment the same points into one group. The generation of 3D floor plan from point cloud provided a good visualization of indoor model and walking environment. The extraction of vector walking path is also useful to be displayed with the indoor model to make it easier for the pedestrians. The main objective of this paper is to determine the indoor walking path using mobile laser scanning. The define indoor walking path will be used to calculate the walkability index on the indoor building. Therefore, the calculated walkability index can enhance the walking behaviour by improving the facilities in the indoor building.
Research on Incentive Choice of Public Order Based on a Survey of Shared Bicycle Parking

Taking the shared bicycle parking order as the starting point, a variety of scenarios (daily, hurry, and other people’s violations) and two freeloading psychological incentives (speculation and conformity) are constructed. It is believed that (1) The effect of incentives on individual travelers is limited, and there are certain internal distortions in the two-dimensional effects of norms and travel. (2) Incentives are effective for speculative travelers, while they have no significant effect on herd mentality travelers. Even drive travelers with a strong sense of social norms deviate from normative behavior. (3) Travelers with stronger speculative psychology are more sensitive to the time loss that may be embedded in incentives. (4) The range of available incentives with unique characteristics is different. The applicability of electronic fences is relatively stronger.
Texture Observation and Control in Metal Manufacturing : Theory and Practice

It is generally known that the crystallographic texture of metal alloys is formed during subsequent solid-state transformations, occurring during manufacturing of the product. Applied to the specific case of metal sheet manufacturing, it implies that the texture of the finished product is the result of the crystallographic phenomena involved in hot rolling, cold rolling and annealing. Austenite-to-ferrite phase transformation, plastic deformation, recrystallization and grain growth are the dominant solid-state transformations occurring during thermo-mechanical processing of steel sheet. Moreover, the crystallographic texture ensuing of a solid-state transformation is a characteristic feature of the physical mechanics underlying this transformation and therefore, a precise understanding of the texture formation mechanisms is an important tool in gaining a better understanding of metal physics phenomena. The present paper will give a brief overview of the current state-of-the-art in these issues.
Orthotic Management in Patients with Stroke

Abstract Orthotic management for the individual with a hemiplegic gait pattern secondary to a stroke is an important consideration for any treatment plan for this patient population. Patient evaluation, gait analysis, previous management, medical team cohesion, and patient expectations are elements necessary to establish the orthotic goals for the patient. These goals are the basis by which an orthotic treatment plan can be established as well as a measure for future outcome. Therefore, the purpose of this discussion is to describe the steps necessary to determine the most effective method of orthotic management and to identify orthotic design indications and contraindications.
Dissociation of water into hydrogen and oxygen through a combination of electrolysis and photocatalyst

Hydrogen from water is an alternative energy source that can replace fossil fuels and is environmentally friendly. Various methods have been developed in producing hydrogen from water, including the process of photocatalysis and electrolysis. Photocatalysis is a water splitting event to produce hydrogen from water that utilizes photon energy. Most photocatalyst materials are made of semiconductor material because they have an energy gap that allows them to produce electron-holes if they are subjected to photon energy from a particular source that causes a water splitting event. Water electrolysis is the decomposition of water compounds (H2O) into oxygen gas (O2) and hydrogen gas (H2) by using an electric current through the water. Some of the obstacles of the two methods above are 1) photocatalysis: most of the photocatalyst materials that have been developed to date only work efficiently in the ultra violet light range and the amount of hydrogen production has not been maximized, 2) electrolysis: to produce hydrogen on a large scale, requires electricity in large quantities as a trigger for a reaction, so it requires high production costs. In this paper, through a literature review, a method of separating hydrogen and oxygen from water through a photocatalysis process that utilizes the energy of photons from visible light is combined with the electrolysis process to increase hydrogen production with a fairly small current.
Research on Modified Wavelet Threshold Denoising Algorithm Based around SEMG Signal

The surface electromyography (SEMG) signal of the lower limbs is collected by attaching electrodes to the surface of the muscles of the lower limbs, so it is non-invasive and simple to operate. Selected the threshold and the threshold function is very important when used the wavelet threshold denoising method to process some non-linear SEMG signals. But the traditional threshold is a fixed value, which is not conducive to the improvement of the denoising effect. Present paper discusses the previous wave threshold denoising means aiming at their shortcomings, to this end, an improved threshold method is proposed in present paper, which can change the threshold with the number of decomposition layers. In the meantime, the shortcomings of the previous threshold functions can be overcome by the modified threshold function. The SNR and MSE is selected as the parameters to evaluate the denoising performance and comparing the modified wavelet threshold denoising arithmetic with the traditional threshold arithmetic, the experiment results indicated that the denoising impact of the modified arithmetic is better than the previous arithmetic and it has certain practical value.
Moisture Sorption Isotherm and Isosteric Heat of Butterfly-pea Flowers (Clitoria ternatea)

Butterfly-pea (Clitoria ternatea) flowers are containing various active compounds such as flavonoids, myricetin, quercetin, flavonols, and anthocyanins which have potential as antioxidants. Dried butterfly-pea flower is often used as an ingredient of herbal tea drinks. The drying procedure for the butterfly-pea flower is important to maintain the shelf-life. However, during the drying process, anthocyanins are easily be degraded before reaching the balance of water content. Therefore, a study focus on moisture sorption isotherm of fresh butterfly-pea flowers is needed. This present study aims to determine the balance of water content and isosteric heat of butterfly-pea flowers using a static gravimetric method. Water activities were conditioned using chemical solutions of KOH, MgCl2, K2CO3, NaCl, KCl, and BaCl2 with a water activity range of 0.06-0.90. The hysteresis curve was determined using desorption and adsorption samples with various temperature variations of 30, 40, and 50°C. The isothermal behavior of butterfly-pea flowers was determined based on GAB, BET, Halsey, Oswin, and Peleg models. As a result, the Peleg model was found to be the most suitable model to represent the moisture sorption isotherm of butterfly-pea flowers and based on Brunauer classification including the Type II-sigmoid curve in which has been statistically analyzed using determination coefficient (R 2), mean relative modulus (P), and root mean square error (RMSE). The hysteresis curve indicated that the balance of water content of the desorption sample is higher than the adsorption sample on the same water activity level. The net isosteric heat in the desorption and adsorption samples were 48.529 exp (−xe/0.0734) and 53.591 exp (−xe/−0 0797), respectively.
An Efficient OpenCL-Based FPGA Accelerator for MobileNet

Convolutional neural network is widely used in image processing and image recognition. In order to obtain higher accuracy, the computational complexity and the scale of model and parameters are increasing. FPGA has become a good choice because of its low power consumption and high flexibility. MobileNet replaces the standard convolution by depthwise convolution and pointwise convolution, which greatly reduces the computational complexity and parameters of the model in the case of less precision loss, so that it can be applied to the equipment with limited computing resources. In this paper, we propose an efficient OpenCL-based FPGA CNN accelerator to realize inferencing acceleration of MobileNet. We designed the convolution layer with modularization. We used pipeline to design a depth separable convolution parallel acceleration scheme, and made full use of the DSP resources of FPGA. This design finally achieved a good balance of hardware resources, processing speed and power consumption. The experiments show that the accelerator can reach the inferencing speed of 32.56ms, and the energy consumption is 20W. The speedup is 4x compared with CPU and energy efficiency is 3x compared with GPU.
Trust Based Fake Node Identification in Social Networking Sites

In recent years Social Networking is very commonly used for communications. It is the platform where users are free to join and share their data between groups of people. Due to the openness of this network any one can use multiple fake identifications and fraud the people into its group. These types of fake profiles are required to be identified and wipe out from the network. Some of the Social Networking Sites (SNS) that are commonly used are Twitter, Facebook, Instagram, WhatsApp, WeChat etc. These SNSs are already have some mechanism to identify fake profiles and prevent them from such type of malicious activities but are not sufficiently efficient. This paper represents comprehensive literature review for identification mechanism of fake account on Facebook and proposes a new mechanism to stop this type of harmful activities by using graph based activity diagram.