Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on economic dispatch based on improved firefly ag-orithm

An improved firefly algorithm for solving the economic dispatch problem of power system is proposed. The algorithm considers the climbing rate, the dead zone and other constraints, and calculates the network loss. This algorithm is based on the firefly algorithm, a new repair strategy for active correction of the violation of the constraint condition of all kinds of fireflies, and combined with the penalty function technique, the fireflies in the feasible region or as close as possible to the feasible solution search in the area. The accuracy and speed of the algorithm can be effectively improved by greatly reducing the probability of finding the optimal location of the firefly in the infeasible solution region. The simulation results show that the algorithm has the characteristics of high speed, high accuracy and good convergence.
Modelling the use of social network marketing in Indonesia

This study focused on modelling the use of social network marketing in Indonesia. This platform was currently widely used as a means of trading among sellers and buyers so that they did not have to go to many stores to get their necessities. However, several studies showed that there was still a lack of trust, causing buyers to be reluctant to use the platform. Thereby, the objective of this study was to investigate what factors contribute to their reluctancy to use the platform. Therefore, a quantitative methodology was applied to model the use of social network marketing using PLS-SEM (Partial Least Square Structural Equation Modelling). After conducting purposive questionnaires to about 250 various buyers in Jakarta, Smart PLS was run to get a robust and accurate model (Goodness of Fit = 0.72). The result indicates that 1) Behavioural Intention is effected mainly by Perceived Usefulness (r=0.80), Awareness (r=0.67), Perceived Ease of Use (r=0.63), and Perceived Credibility (r=0.37), 2) Perceived Usefulness is effected mainly by Perceived Ease of Use (r=0.78) and Computer Self-Efficacy (r=0,56), 3) Perceived Ease of Use is effected by Computer Self-Efficacy (r=0.61), 4) Perceived Credibility (PC) is effected by Awareness (r=0.44) and Computer Self-Efficacy (r=0.28), and 5) Awareness is effected by Computer Self-Efficacy (r=0.32). Therefore, the implication of this study indicates that in order to promote the behavioral intention of buyers, sellers should mainly promote the perceived ease of use of their platforms and their buyers’ computer self-efficacy, followed by other remaining factors.
Perchlorate as a secondary substrate in a denitrifying, hollow-fiber membrane biofilm reactor

In recent years, several oxyanions have emerged as drinking water micropollutants, including arsenate, selenate, bromate, and, most recently, perchlorate (ClO 4 - ). Conventional water treatment processes typically are ineffective in removing these compounds, and advanced treatment processes are expensive. Biological reduction may provide a suitable treatment alternative, since these compounds can serve as electron acceptors. Other acceptors, such as nitrate (NO 3 - ), must act as a primary electron acceptor. We tested our denitrifying, autotrophic, hydrogen-oxidizing hollow-fiber membrane for ClO 4 - reduction. The reactor is highly suited to drinking water treatment, as hydrogen (H 2 ) is inexpensive, nontoxic, and does not leave residuals that can cause regrowth. When 1 to 2 mg/L ClO 4 - was supplied to reactor, which was at steady-state with 5 mgN/L NO 3 - but unacclimated to ClO 4 - , ClO 4 - removals increased from 40 to 99% over three weeks. Removals to 4 μg/L were also achieved in a natural groundwater having 6 to 100 pg/L ClO 4 - , Tests with variable NO 3 - and H2 showed that ClO 4 - reduction requires less than 30 μgN/L NO 3 - and at least 300-μg/L effluent H 2 . Therefore, partial denitrification is probably not consistent with excellent ClO 4 - removal. Mineral medium produced a gradual loss of ClO 4 - -reducing bacteria, but they were re-enriched when tap water replaced minimal medium.
Overview of Five Techniques Used for Security and Privacy Insurance in Smart Cities

Digitization and technological transformation in providing various services have become a goal for many countries in light of the current digital revolution to implement the concept of a smart city. Given the great importance of the smart city concept by researchers, the overriding concern is how to maintain data security and user privacy. These two criteria can or directly represent the strengths and weaknesses of such technology projects. This paper included a comprehensive study of the smart city, its concept and components. The research also included a detailed study of the most important applications included in smart city services and their working mechanisms and uses. The diversity of applications and services provided under the smart city environment is proof of the importance of this model. The paper also reviewed the security risks of data in all stages of work, data collection, data transfer and processing. Finally, the paper reviewed the five most important technologies used in a smart city to maintain information security and data privacy, their advantages, their internal methodology and algorithms. In the end, this paper aims to give a clear picture of all the details of the smart city and the technologies used for the purpose of ensuring information security and data privacy.
Pushover analysis of R.C. framed structures with infill panels made of masonry having various properties

The seismic performances of R.C. frame structures were determined in terms of inter-storey drifts at two limit states, internal forces and moments (axial forces and bending moments), and the in-plane behaviour of infills. A nonlinear static analysis (pushover) was carried out in order to assess the seismic performance of buildings, to identify the expected plastic mechanisms and to plot the capacity curves. In pushover analysis, the vertical distribution of the monotonically increasing horizontal loads, was performed according to the first mode pattern. The nonlinear behaviour of structural members for pushover analysis was modelled by using the lumped plasticity, from where it derives that the potential plastic hinges were situated at the beams ends (which yield due to the bending moment), at the top and bottom of the columns at any storey (which yield based on the interaction of axial force and bending moment) and in the struts (which yield due to the axial force).
Investigation on the Damage Mode and Anti-penetration Performance of B4C/UHMWPE Composite Targets for Different Incident Velocities and Angles

To found out the effects of incident velocity and incident angle on the damage mode and anti-penetration performance of ceramic composite targets, and provide a certain basis for optimizing the structural design of ceramic composite armor. The penetration of 7.62 mm bullet into oblique boron carbide (B4C)/UHMWPE composite target was investigated by ballistic testing and numerical simulation. The effects of incident velocity and incident angle on the fragmentation degree of bullet and ceramic panel were analyzed, also the damage mode of bullet penetrating ceramic composite target was developed preliminarily to estimate the anti-penetration performance of ceramic composite targets. Based on the testing and simulation results, it was found that the fragmentation degree of bullet and ceramic panel increases gradually with the increase of incident velocity and incident angle, but the fragmentation degree of bullet and ceramic panel decreases obviously when the incident velocity exceeds the ballistic limit; the damage mode of UHMWPE laminate is mainly tensile failure when the bullet’s incident velocity is lower than the ballistic limit, and the increase of incident velocity or incident angle makes UHMWPE laminate more prone to shear failure and delamination failure. With the increase of incident angle, the ballistic limit of B4C/UHMWPE composite target increases significantly, the deflection angle of bullet increases similarly, and the optimal thickness ratio of ceramic panel and backplate tends to decrease with the increase of incident angle.
Coastal Buffer Zone Management in Banten Province Coastal Region During The December 2018 Tsunami Waves in The Sunda Strait

Natural disasters in coastal areas and small islands in Indonesia occurred several times in the last decade. Banten Province coastal region was directly affected by the tsunami waves last December 2018 due to the Anak Krakatau Volcano’s activities, covering Pandeglang and Serang Regencies. Regional and spatial planning in a coastal buffer zone is mandated by laws and regulations, both central and local, but still sometimes neglected. The spatial analysis was carried out by identifying land use/cover in Banten Province coastal area using high and medium resolution images acquired from the Google Earth website. The results of the land use/cover map observations, which validated with field data, showed that the built-up area from the tourism sector in the form of buildings, facilities, and infrastructures dominate the coastal buffer zone, both in Pandeglang and Serang Regencies, especially in Anyer District (22.3 ha), Carita District (10.7 ha), and Cinangka District (7.2 ha). Moreover, human settlements and supporting public facilities also contribute and dominate the built-up area on the coastal buffer zone in Panimbang District (15.8 ha) and Sumur District (6.4 ha). Implementation of a coastal buffer zone in a vulnerable area such as Banten Province should be evaluated to minimize the impact in the future.
Study of defects in CH3NH3PbI3-based perovskite solar cells

The present work will focus on the investigation of the influence of defects density and carriers capture cross-section are in absorption layer on the performance of perovskite solar cells. Furthermore, the impact of defect density in the electron transport material ETM/absorber interface layer will also be studied. The hybrid halide perovskite solar cells are chosen in this work and will be simulated by using one-dimension solar cells capacitance simulation SCAPS-1D. The proposed structure of the perovskite solar cell is a planar FTO/ETM/perovskite/HTM based on TiO2 and Spiro-OMeTAD as electron transport layer ETM and hole transport layer HTM, respectively, and on CH 3NH 3PbI 3 as absorber layer (perovskite). The results showed that when the defect density in the absorber layer was varied from 10 10cm -3 to 10 18 cm -3, the cell parameters, open circuit voltage (V oc), the short circuit current (J sc ), the fill factor (FF), and the efficiency (PCE)were significantly decreased. At high defect density (10 18 cm -3), the defect affects negatively on the cell performance due to the high recombination rate of Shockley Read Hall. Similarly, the capture cross section exhibits similar behaviour in the active layer. By increasing the defect density in the ETM/absorber interface layer, the main cell parameters PCE, FF, and J sc are slightly reduced and there has been no noticeable impact on V oc .
Multi-Objective Optimized Operation Model Based on Demand Side Grid

The multi-objective optimized scheduling model is proposed considering demand side management. The load side resources are divided into nine categories based on three characteristics of fixed, transferable, and user-action loads. The management of transferable load is especially significant based on the example calculation in many regions. In the case of time-of-use price, the multi-objective optimization scheduling method with the objectives of minimizing the total operation cost of demand side energy grid is established. The economic utilization scale is calculated based on the collaborative utilization mode of user side resources and power supply. The numerical tests for the micro-grid indicate that with demand side management consideration, the total cost reduces significantly.
Developing a robot with computer vision for automating business processes of the industrial complex

Robotic Process Automation technology is one of the solutions implemented in mechanical engineering and industrial production. A business process is automated by observing how a person is doing a task in a graphical user interface. Then the cyberphysical device repeats the same task. A significant problem of the implementation of such automated systems is that if the work is to be carried out through the interface of a virtual desktop, then it is impossible to obtain data on the elements of the graphical interface without computer vision. The object of the research is the automation of business processes of the industrial complex using computer vision. The purpose of the study is to apply computer vision methods to automate business processes and develop an appropriate software robot. The paper analyzes computer vision methods for recognizing user interface elements and text within these elements. Moreover, the authors have developed and tested a cross-platform application that reproduces a business process using computer vision. The test results have shown that selected computer vision methods will help automate industrial production business processes on any platform with a virtual desktop interface.
Effect of Shading and Spraying with Chitosan on the Vegetative and Flowering Growth of Polianthes Tuberosa L.

The experiment was conducted in Horticultural Facilities Unit of the Department of Horticulture and Landscape - College of Agriculture - Tikrit University. Iraq for the period from 3/15/2020 to 1/15/2021. The experiment was designed as a randomized complete block design (RCBD). The experiment included two factors: first shading with two levels without shading (open field) and lath house (net 33%). second spraying with chitosan in three concentrations 0, 500, 1000 mg. L −1. Results showed that shading treatments exceeded in length and width leaves gave 52.08 cm and 17.8 mm. open field gave highest Diameter of the basal florets 34.32 mm, foliar with chitosan 1000 mg.l−1 gave highest leaves number 19.12 . Length and diameter of syphilitic Peduncle recorder in interaction between lath house and foliar chitosan 1000 mg.L−1 was 109.02 cm and 9.21mm respectively.
Effect On Thermal Properties Of Concrete Containing Micro Steel Fiber (CMSF)

Nowadays, the improvement of construction materials towards sustainable construction materials had become important. Due to the hot and sunny climate in Malaysia, the consumption on electricity increases. This causes a decrease of comfort in residence. The objectives of this research was to evaluate the thermal properties of concrete containing micro steel fibres (MSF). In this study, a series of concrete cubes that consists of different percentage of MSF (0%, 0.2%, 0.4%, 0.6%, 0.8%, 1.0%) was made in order to carry out compression test. Then, a Hot Guarded Box was used to obtain the optimum percentage of MSF in the concrete for thermal conductivity. As a result, the optimum percentage of MSF obtained from the compression test was 0.8% with a reading of 25.7Mpa. While, the optimum percentage of MSF obtained for thermal conductivity 0% with a reading of 0.34 W/mk. As a conclusion, it was proven that the inclusion of MSF in a concrete matrix will increase the thermal conductivity.
Research on crack detection of bridge deck based on computer vision

Bridge deck crack is the most serious bridge deck disease. To reduce the time, cost, and money cost of bridge deck crack detection, computer vision technology is combined with bridge deck crack detection. First of all, the main ways of obtaining bridge surface images are analyzed. Then, the algorithms of image enhancement, image noise reduction, image segmentation, crack extraction and recognition, and crack feature extraction in bridge deck crack detection based on computer vision are summarized respectively. Finally, the existing detection methods are reviewed, and the problems encountered in the research process and future research directions are further discussed.
Vibration Characteristics of Graphene nano resonator as mass sensor

The decrease in the physical dimensions of the devices have sought the attention of research community due to quick response, high sensitivity and sturdiness of the devices. These devices in the form of nano resonators have been extensively used as sensors to detect the entity at submicron level as well as to identify the properties of matter at submicron level. With the process like chemical vapour deposition, lithography technique as well as mechanical exfoliation techniques, it has become possible to produce materials which are 2D in nature. The excellent mechanical and electrical properties of graphene as well as its complete plain geometry advocate it as an ideal material for the development of sensors used for identifying the object at nano level. Here an attempt is made to analyse the vibration characterization of graphene resonator in the form of membrane to understand the shift in the frequency by adsorbing the mass and change in the temperature. The tobacco mosaic virus is considered as a mass adsorbed onto the graphene nano ribbon based membrane. Along with the adsorption of the mass, the effect of variation in temperature is also introduced to observe the shift in the natural frequency of the graphene membrane based resonator.
Mathematical modeling of power loads in the construction of a parallelogram lift

The question of determining the power loads in the elements of the supporting structure of a parallelogram hoist is considered. The design diagram of the lift supporting structure and the mathematical model describing the dependence of the power geometric characteristics of the structure are presented. To simplify the design scheme, not a volumetric, but a flat supporting structure was considered. Equilibrium equations were compiled for each element of the design scheme. The dependence of the angle of inclination of the element of the hydraulic cylinder rod on the angle of lifting of the supporting structure is obtained and the nature of the dependence is shown. The system of equations was solved in matrix form for the given values of the angle of the hydraulic cylinder rod position.
Twenty weeks of Centella asiatica improved cognitive function of women elderly with dementia

Centella asiatica is known to improve cognitive function, but its influence on several domains of cognitive function in dementia women is still limited. This study aimed to determine the effect of Centella asiatica on cognitive function in women elderly with dementia. Screening for dementia used an MMSE questionnaire (Mini-Mental State Examination) with a cut off of 23. The trial comprised the two groups: Centella Asiatica group (CAG) 1x500 mg/day and placebo control group (PCG) 1x500 mg/day. Thirty-nine women were included in this study with mean age 74 ± 10.05. The results showed that the CAG group was effective in increasing the semantic fluency domain (p < 0.001) and visual memory (p < 0.001) compared to PCG. Meanwhile, the phonemic fluency domain and the forward-backward digit span did not show a significant difference compared to the placebo control group. In conclusion, administration of Centella asiatica for 20 weeks is effective in increasing semantic fluency and visual memory in women elderly with dementia.
Rating of Various Indian Airlines on various parameters using Twitter Data

In today’s world, e-commerce markets runs on the sentiments of the customers as they provides real feedback of the products or services. In such scenario, the companies tries to collect data from different social media platform like instagram, Facebook, twitter, and other sites where customers places their reviews and feedback about their experience on various parameters. These organizations analyze these data as per their requirements for market analysis, recommendation systems, feedback of the product/service, sentimental analysis etc. In this proposed work, feedback/reviews of various Indian airlines like Air-India, Indigo, Go-Air, Jet airways, Spice-Jet.is collected from twitter to rate the airlines services on various parameters like food quality, staff, delay in time, turbulence, aircraft condition and value for money parameters.
Dual channel sentiment classification model based on grammar rules and multi attention

As convolutional neural networks (CNN) and recurrent neural networks (RNN) have achieved excellent results in the field of Chinese text sentiment analysis. More and more researchers are extracting features of text based on the advantages of CNN and RNN in extracting features. However, the current scholars fail to make full use of sentiment language resources such as sentiment words, negatives and degree adverbs when they adopt deep learning methods. For implicit texts without explicit sentiment words, they cannot fully identify the differences between words and sentiment tendency. At the same time, it fails to consider the grammatical structure of the text, which leads to poor classification effect for some turning sentences or summary sentences. In addition, most of the models are mainly input in the form of word vector. For English, it is very convenient to segment words through spaces between words, but for Chinese, there may be inaccurate word segmentation, which will reduce the accuracy of classification. To solve these problems, a dual channel sentiment classification model based on grammar rules and multi attention (DCGA) is proposed. Firstly, the text with clear sentiment tendency is obtained according to the grammar rules, and the local features of the text are extracted by CNN channel. Considering that the grammar rules may ignore the context information, bi-directional long short term memory network (Bi-LSTM) channel is used to extract the global features containing the context information, and attention pooling is used to improve the sentiment information extracted by CNN channel. Then, the part of speech attention mechanism is used to mine the implicit sentiment features in the sentiment text to solve the poor classification effect caused by the existence of implicit text. Finally, the local features obtained by CNN channel and the global features obtained by RNN channel are fused for classification. Experimental results on four Chinese comment text datasets show that the proposed model outperforms most existing methods in accuracy.
The use of an automated information system for monitoring and metering electricity in resolving disputes between economic entities

The results of the study of the quality of electrical energy using an automated system with radio data exchange channels are considered. The parameters of the quality of electrical energy recorded by multifunctional metering devices showed that, on average, up to fifteen percent of the energy supplied during the year does not meet the regulatory requirements and conditions for ensuring the supply of electrical energy under an energy supply agreement at the facilities under study. The consumer intends to use the obtained instrument data when drawing up a statement of claim to the court to reduce the payment for the supply of low-quality electricity.
Intelligent analysis of the list of technological operations for the problem of developing of functional simulators stowage and installation-mooring of the landing gear

The aim of the article is to investigate the number and assortment of training solutions required to perform technical operations involved in parachute packing and landing platform mounting and mooring. The article proposes a novel approach to the identification of the number and value of the attributes of technical operations, which takes into consideration objective information and expert assessment results. The article presents an algorithm aimed at the identification of the number and assortment of training solutions based on the algorithm of DBSCAN cluster analysis and promoting the calibration of expert assessments in order to improve clustering quality. The results of experimental research prove the feasibility of dividing technical operations into clusters whose quantity and composition are predicted by experts and are practically relevant.