Miracle-dz/UniFAR-FTUs huggingface dataset:
A mobile air particle system using an optical sensor for haze measurement

This paper presents a development of a mobile haze measurement system which can measure the amount of particulate matter and display in real time. The current haze measurement system called high volume sampler is difficult to move around due to its big size and the reading is not available in real time. Therefore, an alternative for the haze measurement system need to be developed. It uses an optical sensor as a working principle and Arduino board as a microcontroller. The measurement system is able to measure particulate matter from the smoke generated using a mosquito coil. The reading from the developed haze measurement system is verified using a commercial sensor called Dust Mate.
Mechanical Characterization Of Polymer Nano Composite: Progress In Last Decade

In recent times it is versatile in the study, technology and sciences fields natural fibres with nano polymeric materials though as an effective strengthening for cognitive resources. Natural fibres are reasonably inexpensive and then not only solid and powerful, they often exhibit a top power, a reduced weight, non-abrasive, environmentally and recyclable qualities. Usually using natural fibres such as silk, cedar, pineapple, tobacco, etc., plastic reinforcing of discarded biodegradable polymers is a safe choice for the climate. This helps the production of polymeric composites that demonstrate best to offer implementations in the architecture, automobile, aviation and manufacturing operations. Due to the wider crystallite size, and stronger screen resolution, with interesting properties, nano polymer composite displays major applications in various fields. In comparison to fibre content interfacial interaction power, the elastic modulus of a natural fibre reinforced nano polymer matrix rely on variables including fibre strength, fibre duration, electrochemical oxidation and inclination.
Efforts to Reduce SO2 Emission in Paiton Coal-Fired Power Plant

Several breakthrough methods are needed to reduce the exhaust emissions of coal combustion in the boiler in order to meet the environmental quality standard requirements. The implementation of coal mixing is one of the short-term programs to reduce SO2 emissions, which is carried out by mixing several types of coal which have different calorific values and sulfur content to obtain the right coal mixture so that coal combustion will produce low SO2 emissions. Supply of coal with low sulfur content is getting smaller due to limited reserves, which causes the coal switching method will no longer be effective. Installation of flue gas desulfurization (FGD) facilities is an effective way to reduce SO2 emissions. Considering the condition and location of the Paiton 1-2 coal-fired power plant, the seawater desulfurization system is the most appropriate to be implemented because it is close to abundant seawater sources and the system has high reliability and effective economic value. By implementing flue gas desulphurization, SO removal efficiencies will be more than 95%.
Comparison of Missing Rainfall Data Treatment Analysis at Kenyir Lake

Rainfall is one of the frequent data used in weather-related studies. Sometimes the data have missing information that needs the treatment to make sure the data can be useful, complete and reliable. There are many methods in treating missing data suggested by previous studies. The best selected method to estimate missing rainfall data in different regions may vary depending on the rainfall pattern and spatial distribution. Therefore, this paper discussed and compared 3 different methods in missing data treatment. The selected methods are Expectation Maximization (EM), Inverse Distance Weighted (IDW) and Multiple Imputation (MI). After analysis, the best method is IDW based on root mean square error (RMSE), mean absolute error (MAE), correlation coefficient (r) and percentage of error (% of error) values. The IDW method has RMSE, MAE values and the lowest % of error values. In addition, the r value of IDW method is highest compared to EM and MI method. MI method recorded the highest values of RMSE, MAE and % of error with the lowest r value that proved MI method is the least accurate method to use in missing data treatment. After all methods were implemented, it proved that the IDW method is the best way to treat missing data because the analysis shows monthly rainfall distribution for 4 treatment stations in line to 3 missing data stations compared to EM and MI methods.
Effects of In-Ovo injection of Biotin on chick’s embryonic development and physiological traits

This study was conducted at the local hatchery in Ramadi, Anbar Iraq from 1st to 23th Dec. 2018, to 26 Feb 2019. The objectives of this study were to investigate the effect of injected eggs hatching in times and different concentrations of Biotin in growth and embryonic development, hatchability. Six hundred eggs of hatching types (Ross 308) and injected with different concentrations of biotin at age of 0 days (before placing in the hatchery) and 18 days of incubation. Eggs were divided into five groups (120 eggs for each) as follows: 1.T0: Control group placed in the hatchery without injection. 2.T1: Injected with a dose of 100 μg biotin at age of zero. 3. T2: Injected with dose 75 μg biotin at age zero. 4.T3: Injected with a dose of 100 μg biotin at age 18 days of incubation. 5.T4: Injected with a dose of 4175 μg biotin at age of 18 days of incubation. Statistical analysis was performed (CRD) (P=0.065) results show: Increase length of the embryo, diameter of vascular region and number of pairs of somites at 3 days of incubation for T2. Increase percentage of embryonic weight, decrease the percentage of albumin and the percentage of at 7 days of incubation for T1 and T2. Increase in percentage of embryonic weight and amniotic sac and liquid, decrease in the percentage of albumin and yolk, at 14 days of incubation for T2. Increase percentage of embryonic weight, decrease the percentage of yolk at the age of 17 days incubation for T2. Increase hatchability of total eggs and fertile eggs. Decrease embryonic mortality and different stages of embryonic development. Concluded that In-Ovo injection of the hatching eggs with biotin contributed to increase physiological traits and embryonic development.
Barriers and Challenges of e-Government Services: A Systematic Literature Review and Meta-Analyses

Good Governance and Smart Governments are optimising the use of ICT to change the characteristics of traditional government bureaucracy to smart government. The government opens itself by applying information technology in providing services to the citizen, businesses, and government under it. We are familiar with the concept of the term e-Government. Success in implementing e-Government is undoubtedly a concern of the government because it is the responsibility of the executive side. In achieving success, we also must look for barriers ahead. This study aims to find barriers and challenges so the success can be made. In this article, we will discuss the barriers and challenges to be implementing e-Government. The method used is a systematic review and qualitative analysis of using content analysis in empirical and theoretical studies. The results show the 34 main Barriers dan Challenges of e-Government services both in theory and implementation to get the right strategies and recommendation to improve public services.
The analysis of the laminar-turbulent transition onset for the Couette flow in the flat channel with the velocity profile periodic background perturbation

To predict the laminar-turbulent transition, we adopted an approach, which is based on the transverse viscosity factor threshold addition hypothesis. Taking into account the conditions imposed on the corresponding dimensionless complexes within the framework of this approach, we analysed the transition onset for the Couette flow in the flat channel with consideration of the velocity field perturbation initial periodic background. The critical value for the Reynolds number was obtained, which is in satisfactory agreement with the known experimental data.
Tree Detection with a Mobile Laser Scanner

Tree detection has been considered in a number of forest-related applications, mostly related to the need of determining the presence and position of trees, and, in certain cases, the associated biomass. Most of the tree detection methods are typically based on the use of LiDAR surveys, and they often aim either at determining tree crowns or stems. This paper proposes the use of a low cost hand held device to acquire a good spatial description of the area close to the track reachable by the operator holding the acquisition device. Then, a tree detection method based on the local application of the Hough trasform is presented. The performance of the system is checked in an area hit by the Vaia storm in 2018.
Side Lobe Reduction Using Non-Uniform Linear Phased Arrays

Non-uniform amplitude excitation arrays are nowadays very desirable in the modern wireless communication systems. They have ability to provide required radiation characteristics such as low side lobes and good directivity. The uniform amplitude excitation arrays are good in providing good directivity and narrow beam width. However, these desired radiation features are come at the cost of relatively high side lobes. Thus, these types of arrays are not widely used in the wireless communication systems especially when these arrays are operated in a noisy and crowded environment that contains many interfering signals. Non-uniform amplitude excitations such as Dolph and Taylor are considered in this paper and their performances are investigated under various array parameters. Simulation results show that as the amplitude excitations of the array elements decaying at the edge elements more reduction in the sidelobe patterns can be obtained.
Facial Emotion Recognition Using Deep Learning

Facial emotion recognition (FER), because of its significant academic and business potential, is an important subject in the fields of computer vision and artificial intelligence. The purpose of this project is to develop an emotion detection pipeline using video frames. In particular, we detect and analyse the faces of the video through deep neural networks for the recognition of emotions. We use a CNN and an RNN based on documents submitted in the Wild Challenge for emotional recognition. An input video is divided into small segments. We will detect, crop and align faces for each segment. This gives an image sequence. A CNN will extract relevant features in the sequence for each image. These features will be sequentially feed to an RNN that encodes emotional movement and facial expressions. The entire process is carried out as a Python.
Phase relations in the system FeCO3-CaCO3 at 6 GPa and 900–1700 °C and its relation to the system CaCO3-FeCO3-MgCO3

Abstract The subsolidus and melting phase relations in the CaCO3-siderite system have been studied in multianvil experiments using graphite capsules at pressure of 6 GPa and temperatures of 900-1700 °C. At low temperatures, the presence of ankerite splits the system into two partial binaries: siderite + ankerite at 900 °C and ankerite + aragonite up to 1000 °C. Extrapolated solvus curves intersect near 50 mol% just below 900 °C. At 1100 and 1200 °C, the components appear to form single-phase solid solutions with space group symmetry R3c, while CaCO3 maintains aragonite structure up to 1600 °C and 6 GPa. The FeCO3 solubility in aragonite does not exceed 1.0 and 3.5 mol% at 900-1000 and 1600 °C, respectively. An increase of FeCO3 content above the solubility limit at T > 1000 °C, leads to composition-induced phase transition in CaCO3 from aragonite, Pmcn, to calcite, R3c, structure, i.e., the presence of FeCO3 widens the calcite stability field down to the P-T conditions of sub-cratonic mantle. The siderite-CaCO3 diagram resembles a minimum type of solid solutions. The melting loop for the FeCO3-CaCO3 join extends from 1580 °C (FeCO3) to 1670 °C (CaCO3) through a liquidus minimum near 1280 ± 20 °C and 56 ± 3 mol% CaCO3. At X(Ca) = 0-30 mol%, 6 GPa and 1500-1700 °C, siderite melts and dissolves incongruently according to the reaction: siderite = liquid + fluid. The apparent temperature and X(Ca) range of siderite incongruent dissolution would be determined by the solubility of molecular CO2 in (Fe,Ca)CO3 melt. The compositions of carbonate crystals and melts from the experiments in the low-alkali carbonated eclogite (Hammouda 2003; Yaxley and Brey 2004) and peridotite (Dasgupta and Hirschmann 2007; Brey et al. 2008) systems are broadly consistent with the topology of the melting loop in the CaCO3- MgCO3-FeCO3 system at 6 GPa pressure: a Ca-rich dolomite-ankerite melt coexists with Mg-Fe-calcite in eclogites at CaO/MgO > 1 and Mg-dolomite melt coexists with magnesite in peridotites at CaO/MgO < 1. However, in fact, the compositions of near solidus peridotite-derived melts and carbonates are more magnesian than predicted from the (Ca,Mg,Fe)CO3 phase relations.
Mass spectrum and strong decays of strangeonium in a constituent quark model

In this work we calculate the mass spectrum of strangeonium up to the multiplet within a nonrelativistic linear potential quark model. Furthermore, using the obtained wave functions, we also evaluate the strong decays of the strangeonium states with the model. Based on our successful explanations of the well established states , , , , and , we further discuss the possible assignments of strangeonium-like states from experiments by combining our theoretical results with observations. It is found that some resonances, such as and , listed by the Particle Data Group, and and , newly observed by BESIII, may be interpreted as strangeonium states. The possibility of as a candidate for or cannot be excluded. We expect our results to provide useful references for looking for the missing states in future experiments.
A Survey on Image Encoders and Language Models for Image Captioning

Generating a natural language explanation for a given image is known as image captioning. An image captioning method aims to determine the significant objects present in an image together with the relationship between these objects. Also, the model has the capability to describe an image by a syntactically and semantically correct sentence. For image encoding, convolutional neural network {CNN] is applied and for producing natural language descriptions for a given image, language models (RNN & LSTM etc.) are employed. In this paper, the image encoders and language models used by the state-of-the-art image captioning models is discussed.
Preparation and Characterizations of Nanomaterial by Pulsed Laser Ablation in Liquid (PLAIL) as Friendly Environment Paint

In this research, silver oxide and nickel oxide were prepared as collide using Pulsed Laser Ablation in Liquid (PLAIL) method in the water. In all preparation case, the laser parameters were fixed at optimum conditions (laser energy 600 mJ with frequency 1 Hz at room temperature) and nanomaterial was added in several proportions (2%, 4%, 6%, 8%, 10%, 12%) to the local paint. Physical properties of the nano-collide were studied by Uv-visible spectroscopy, Scanning Electron Microscopy (SEM), Atomic Force Microscope (AFM), contact angle (CA). A colloid as core-shell (composite materials) was obtained when the two slices were placed together in the water and ablated them by laser. It has shown the best results compared to using its individual Ni or Ag. The local paint was tested in two cases: the first by adding nickel and silver as micro-scale, and in the other in nanoscale to compare which one the best in the self-cleaning. The nanomaterial at a percentage 12% showed the best results when it added to the paint; it for their properties such as adhesion strength and hardness strength, exposure to weather conditions of temperature, and humidity. The adhesive strength increased when adding the nanomaterial from 112 to 139 before exposure to the weather and from 58 to 108 after exposure. The hardness also increased from 77.9 to 86.5 before exposure to the surrounding environment and from 94.2 to 96.8 after exposure.
Relationship between cloud vertical structures inferred from radiosonde humidity profiles and precipitation over Indonesia

Knowledge of cloud vertical structure, including the presence of multiple cloud layers, is important for several climate-related applications such as for understanding the impact of clouds on Earth’s radiation budget. Moreover, the vertical distribution of latent heat release that affects global circulation and precipitation. The characteristics of cloud vertical structure may change as a consequence of climate change. However, study on cloud vertical structure in Indonesia is limited to case study based on short period observation. This study aims to analyse the vertical structure of clouds, such as cloud base height (CBH), the height of the cloud top (CT) and the number of cloud layers due to climate change in Indonesia, based on ∼ 30 years radiosonde observation. The relation between cloud vertical structures and precipitation was investigated. We used the radiosonde data from nine observation stations in Indonesia. On an average, it is observed that over Indonesia one-layer clouds is most frequently observed cloud, more than 60% of the time. This number is much larger than the fraction of single layer clouds over the globe which is about 58 % of the time. The cloud vertical structures in Indonesia vary from month to month. The cloud vertical structure during wet and dry season is different which indicate a strong relationship between cloud vertical structure and precipitation.
Effects of loading rates on concrete compressive strength

Concrete structures are subjected to loadings which can be static or dynamic and in most cases, both. Deeper understanding on how concrete behaves to different modes of loading needs to be assessed, particularly the rate; and to study its effects, a property of concrete such as its compressive strength requires to be examined in relation to the changes in the loading rates. Different loading conditions or rates can alter how cracks in concrete are formed in terms of crack velocity and crack intensity in regions where stress equals to the applied pressure. However, various studies have shown contradicting results with respect to how varying loading rates may affect the compressive strength of concrete. This research conducted 5 different concrete mixes to study the effect of loading rate on compressive strength of concrete. Concentric uniaxial loading, in terms of pressure as opposed to displacement, was loaded to the hardened concrete cube specimens at different loading rates increasing constantly at 0.2 MPa/s and 0.4 MPa/s which are within the standard limits. Moreover, loading rates beyond the extremes were also subjected in one of the mix design for study and analysis purposes. Results showed that there is a relatively minor relationship between the rate of loading and the strength in terms of compression for both specimen sizes in which the trend indicates that as the loading rate is increased, the compressive strength also increases but with minimal deviation in the magnitudes of the strengths.
Statistical analysis on the effect of exchange rate on stock price in Indonesia: an application of ARDL and IGARCH models

This study aimed to examine the influence of the IDR/USD exchange rate on stock prices in Indonesia. The data used were the IDR/USD exchange rate and the monthly composite price index that spanned from January 2004 to October 2017. To test the effect of the IDR/USD exchange rate on stock prices, the distributed lag (ARDL) autoregressive model and integrated general autoregressive conditional heteroskedasticity (IGARCH) were used. The result of analysis showed that there was influence of IDR/USD rate to stock prices either in short term and in long term. In the long term, every 1% decrease in the exchange rate of IDR/USD, the change in stock price rise.
IDF (intensity-duration-frequency) curve and unit hydrograph as signature of characteristic changing of Way Kuala Garuntang Watershed

There is direct relation between global warming and precipitation. Air capacity of water increase by 7% to increasing of 1°C of air temperature, causing more water vapor content in the air. This research aims to investigate how IDF Curve and Unit Hydrograph can be used as signature of characteristic changing of Way Kuala Garuntang Watershed. The study area is Way Kuala Garuntang watershed and rainfall data source is from automatic rainfall recorder of Stasiun BMKG Maritim Panjang, ARR Tipping bucket installed at Way Kuala Garuntang watershed, and 4 manual raingauges. From the research can be concluded that IDF Curve can be used as signature of characteristic changing of Way Kuala Garuntang watershed mainly the changing of rainfall intensity in various of return period. Meanwhile, due to average of IUH of 5 flood events in 1 year data serie, and significant differences of Qp between IUH and SUH, the Unit Hydrograph was not suitable as signature of characteristic changing of Way Kuala Garuntang watershed.
Synthesis and physical characterization of magnetron sputtered Graphene-CdS bilayer

CdS/Graphene Nano composites have been extetinsively investigated in the field of basic industrial research and electronic device applications because of their unique physical, chemical properties and photo stability under visible‐light irradiation. In this study, we explore the electrical properties of Cadmium sulfide with the addition of graphene. CdS/Graphene hybrid was fabricated by simple RF magnetron sputtering method using CdS as a sputtering source. The hybrid material formation and structural properties of Graphene, CdS, CdS/Graphene have been discussed using XRD, FTIR, Raman, and UV–vis spectroscopy techniques. Herein, we present a facile and efficient method for hybridization of CdS Nano-sphere with graphene Nano sheet and subsequent investigation of enhancement of current of the hybrid material. Field emission scanning electron microscopy (FESEM) micrographs reveal the formation of CdS nanospheres and homogeneous scattering on the surface of graphene sheets. The UV absorption spectrum of CdS/Graphene hybrid presented a red-shifted. The enhancement in the current of CdS/Graphene hybrid has been observed due to the generation of electron-hole pairs. Also, current-voltage (I-V) characteristics of an as-grown thin film of the hybrid are conducted using 4-point probe measurement and revealed their semiconducting nature with a drastic enhancement of electrical conductivity.
Make up for Anime Character with CycleGAN, BeautyGAN and U-GAT-IT

Image-to-Image translation is a class of problems which aim to translate images from domain A into domain B. Some methods have been proposed to solve these problems, each of which being skilled in some specific tasks, e.g., CycleGAN for translating images into Monet style, U-GAT-IT for translating selfies into anime characters. This paper discusses how to finish an A→B task through combining an A→C approach and a C→B approach, and carries out experiments on generating anime characters with makeup from selfies combining CycleGAN, BeautyGAN and U-GAT-IT. The result shows that sequence is a key factor in our approach, and the reason why different sequences produce different results is analyzed.