bluuebunny/crossref_metadata_2025 huggingface dataset:
Natural Batch Adsorption Operation to Remove Dissolved Copper (II) by Carbon Charcoal Rambutan
Authors: Haryanto B , Saragih S E , Tambun R , Harahap H , Manik K , Lumbangaol A K
Published: December 2021

Carbon charcoal was made from rambutan rods and used as an adsorbent. A gram 70/100 mesh size of adsorbent was then used to adsorb 100 ml of copper ion solution with a 70 ppm concentration. In this investigation, the batch procedure was used without shaking (naturally). The charcoal carbon rambutan ability to remove the copper ion was measured by AAS. The percentage result was 48,135% or about 33,694 ppm. SEM and EDX instrument analysis have applied to confirm the presence of copper ions on the adsorbent surface. The copper ion was found at a concentration of 0.09 percent of the total weight. The carbon charcoal adsorbent in rambutan rods has the ability to purify the water contaminated by metal ions.
Determination of Vital Cancer Sites in Malaysian Colorectal Cancer Dataset by Using A Fuzzy Feature Selection Method
Authors: Dzulkalnine Mohamad Faiz , Sallehuddin Roselina , Yussof Yusliza , Mohd Radzi Nor Haizan , Binti Mustaffa Noorfa Haszlinna , Mi Yusuf Lizawati
Published: December 2021

In Malaysia, Colorectal Cancer (CRC) is one of the most common cancers that occur in both men and women. Early detection is very crucial and it can significantly increase the rate of survival for the patients and if left untreated can lead to death. With the lack of high-quality CRC data, expert systems and machine learning analysis are burdened with the presence of irrelevant features, outliers, and noise. This can reduce the classification accuracy for data analysis. Accordingly, it is essential to find a reliable feature selection method that can identify and remove any irrelevant feature while being resistant to noise and outliers. In this paper, Fuzzy Principal Component Analysis (FPCA) was tested for the classification of Malaysian’s CRC dataset. With the utilization of fuzzy membership in FPCA, the experimental results showed that the proposed method produces higher accuracy compared to PCA and SVM by almost 2% and 5% respectively. Empirical results showed that FPCA is a reliable feature selection method that can find the most informative features in the CRC dataset that could assist medical practitioners in making an informed decision.
Comparison between Louvain and Leiden Algorithm for Network Structure: A Review
Authors: Hairol Anuar Siti Haryanti , Abas Zuraida Abal , Yunos Norhazwani Mohd , Mohd Zaki Nurul Hafizah , Hashim Nurul Akmal , Mokhtar Mohd Fariddudin , Asmai Siti Azirah , Abidin Zaheera Zainal , Nizam Ahmad Fadzli
Published: December 2021

In the real network, there must be a large and complex network. The solution to understand that kind of network structure is using the community detection algorithms. There are a lot of other algorithms out there to perform community detection. Each of the algorithms has its own advantages and disadvantages with different types and scale of complex network. The Louvain has been experimented that shows bad connected in community and disconnected when running the algorithm iteratively. In this paper, two algorithm based on agglomerative method (Louvain and Leiden) are introduced and reviewed. The concept and benefit are summarized in detail by comparison. Finally, the Leiden algorithm’s property is considered the latest and fastest algorithm than the Louvain algorithm. For the future, the comparison can help in choosing the best community detection algorithms even though these algorithms have different definitions of community.
Design and Analysis a Harvesting Mechanism of Swiftlets Nest
Authors: Syafiqah S N , Radhwan H , Saad M N M , Irfan A R , Hussin R , Dawi M S I M , Asyahid W A R
Published: December 2021

Industry swiftlets nest is not a new industry in Malaysia. It gets very high demand from China. Harvesting swiftlets nest is one of the processes to produce any products that made from swiftlets nest. Currently, they are using manual harvesting equipment to harvest swiftlets nest without using any auxiliary equipment. It is the first step in process flow and very important role before cleaning process. The objectives of this project are to design mechanism harvesting equipment to harvest swiftlets nest and to decrease the time of harvesting swiftlets nest process in a swiftlets house in a day. The methodology of research is including collect data, brainstorming, design concept generation, concept selection and simulation analysis. The design of harvesting equipment is using CAD software and analyze using FEA analysis. At the end of this project, this research will give understanding about design using CAD software and analysis that improved the harvesting equipment.
Six Sigma in Semiconductor: Continuous Improvement in Production Floor Area
Authors: Velu S J S , Jusoh M S , Yusuf D H Muhd , Rosli A G M , Hj Din M S
Published: December 2021

This study addresses the improvement of first pass yield on the production floor of ABC Semiconductor. ABC is a company running a multiple volume complex product in aligning with memory business in the operation. First pass yield refers to the proportion of fully built product that pass testing without the need for additional rework. The first pass yield (FPY) project showed steady progression for its first five years. But over the following one year, the primary yield metric which is first pass yield has stayed stagnant. The goal of the paper presented here is to analyze the reasons for the current performance and propose novel ways of improving the metric again using quality management tools. The most common is using 7QC tools method by categorizing failure pareto that will lead to targeted corrective action to reduce the recurrence of pre-identified failure modes. A DMAIC methodology is establish on how to define an efficient corrective action, along with a top three major defect on data acquired from ABC organization. From the exercise, the yield loss was able to be reduced from 17.4% to 3.52%.
Photocatalytic Degradation of AO7 Aqueous Solution Using Ag/CeO2 Catalyst: Modeling of Process Parameters Using Response Surface Methodology
Authors: Hamid Zal Helmi Abdul , Nur Fadzeelah A K , Wan Kamis Wan Zuraida , Sukri Siti Sabrina , Jamaluddin Siti Khatijah , Hassan Hamizura
Published: December 2021

In the present study, photocatalytic degradation of Acid Orange 7 (AO7) aqueous solution using Ag/CeO2 catalyst with the presence of UV light was evaluated. The effect of process parameters such as pH, initial dye concentration and Ag/CeO2 dosage were investigated using response surface methodology (RSM) based on three levels of Box-Behnken Design. The effect of process parameters and their binary interactions were analyzed using the polynomial regression model. The experimental data and ANOVA analysis showed that the determination coefficient (R2) and adjusted determination coefficient (R2
adj) were 0.9580 and 0.9161, respectively, demonstrated that the model was significant. The response surface plot was successfully established the interaction effect of process parameters on the photocatalytic degradation of AO7 aqueous solution.
Crowd Emergency Evacuation Simulation Time Analysis via Obstacle Optimization Strategy
Authors: Hamizan S. , Roselina S , Habibollah H , Yusliza Y , Lizawati M Y
Published: December 2021

The crowd evacuation simulation is essential to provide important results for occupants, especially in the large capacity building compared to the human fire drill exercise. The strategy of evacuation such as the use of obstacles may need to be adapted by many organizations as an aid to help in visualizing and estimating the evacuation time during an emergency. During certain crowd events, they may consider the various setting of the object to ensure smoothness and effective crowd evacuation flow. In this paper, it aims to provide the simulation with 100-1000 agents and testing with obstacle using Anylogic tool and analysis of evacuation time validated using SPSS. The results show that the placement of obstacles near the exit way indeed can reduce the evacuation time and complies with the anti-arching phenomenon during evacuation.
Implementing Self Organising Map to Organise the Unstructured Data
Authors: Lim S P , Lee C K , Tan J S , Lim S C , You C C
Published: December 2021

Surface reconstruction is significant in reverse engineering because it should present the correct surface with minimum error using the data available. It has become a challenging process when the data are in the unstructured type and the existing methods are still suffering from accuracy issues. The unstructured data will produce an incorrect surface because there is no connectivity information among the data. So, the unstructured data should undergo the organising process to obtain the correct shape. The Self Organising Map (SOM) has been extensively applied in previous works to solve surface reconstruction problems. However, the performance of the SOM models has remained uncertain. It can be evaluated and tested using different types of data sets. The objectives of this research are to examine the performance and to determine the weaknesses of SOM models. 2D SOM, 3D SOM, and Cube Kohonen (CK) SOM models are investigated and tested using three data sets in this research. As shown in the experimental results, the CKSOM model has proved to perform better because it can represent the correct closed surface with the lowest minimum error.
Design and Fabrication of Multichannel PDMS Microfluidic
Authors: Afnan Uda M N , Hashim U , Uda M N A , Parmin N A , Thivina V
Published: December 2021

Microfluidic delivers miniaturized fluidic networks for processing liquids in the microliter range. In the recent years, lab-on-chip (LOC) is become a main tool for point-of-care (POC) diagnostic especially in the medical field. In this paper, we presented a design and fabrication on multi disease analysis using single chip via delivery of fluid with the multiple transducers is the pathway of multi-channel microfluidic based LOC’s. 3 in 1 nano biosensor kit was attached with the microfluidic to produce nano-biolab-on-chip (NBLOC). The multi channels microfluidic chip was designed including the micro channels, one inlet, three outlet and sensor contact area. The microfluidic chip was designed to include multiplex detection for pathogen that consists of multiple channels of simultaneous results. The LOC system was designed using Design Spark Mechanical software and PDMS was used as a medium of the microfluidic. The microfluidic mold and PDMS microfluidic morphological properties have been characterized by using low power microscope (LPM), high power microscope (HPM) and surface profiler. The LOC system physical was experimental by dropping food coloring through the inlet and collecting at the sensor contact area outlet.
Influence of Outlets Port Design on The Tesla Turbine Performance
Authors: Halim Sufi , Rahman Md Tasyrif Abdul , Rahman Anas Abdul , Hilmi Adnan Muhammad Adi , Azuzin Muhammad Hafizi , Suhri Gisrina Elin , Ghazli Mohd Fathullah
Published: December 2021

The boundary layer turbine known as Tesla Turbine invented long ago but has failed to be commercialized and replaced by bladed turbines. In this paper, two new techniques for improving the turbine have been proposed. A test model of the proposed boundary layer turbine has been fabricated made and tested under different conditions. The design process includes producing a virtual design and simulation of the turbine using computer software. The proposed designs were fabricated and then tested to analyse results such as speed produced, power produced, and the turbine efficiency. From this study, the proposed turbine designs manage to achieve 18% and 69% efficiency. The findings of this study will serve as a reference for future studies in the generation of power through an alternative powered driven turbine.
Flow characterisation in an exhaust manifold of a single-cylinder internal combustion engine (ICE)
Authors: Aziz N A , Rahman M T A , Amin N A M , Mohamad M S Bin , Mohamad A , Izham M , Saad M A M
Published: December 2021

This paper presents an investigation of flow characteristic inside the exhaust manifold that were designed with different bending angle (BA), bending radius (BR) and pipe diameter (Dp
). Five exhaust manifold models were developed and analysed by the computational fluid dynamic (CFD) method. Accordingly, the pressure distribution, velocity streamline and backpressure values were observed. The simulation results showed a different flow pattern for all five models, indicating the manifold design affect the flow characteristic inside the exhaust system. The results demonstrated that the pressure distribution inside the exhaust manifold is influencing its velocity streamline pattern, that directly effecting the outlet velocity of the exhaust gas. From this work, a small bending angle with a short straight pipe has led to a smoother exhaust flow and even exhaust velocity across the model. The results obtained from the simulation can be used as a guide to improve the understanding of the flow behaviour in the manifolds and might be used to improve the manifold design.
Global Solar Radiation Forecasting using Artificial Neural Network and Support Vector Machine
Authors: Philibus Emmanuel , Sallehuddin Roselina , Yussof Yusliza , Mi Yusuf Lizawati
Published: December 2021

Global solar radiation (GSoR) forecasting involves predicting future energy from the sun based on past and present data. Literature reveals that not all meteorological stations record solar radiation, some equipments are faulty, and are not available in every location due to high cost. Hence, the need to predict and forecast using predictors such as land surface temperature (LST). Satellite data when were used to complement ground-based stations have been yielding good results. Different artificial intelligence (AI) methods such as Support Vector Machine (SVM) and Artificial Neural Network (ANN) present different forecasting performances. Motivated by existing literature-related contradictions on the performance superiority of ANN and SVM in GSoR forecasting, the two techniques were compared based on several statistical tests. Experimental results show that ANN outperformed SVM by 2.9864% accuracy, making it superior in the forecast of GSoR.
Optimization of Ultrasonic-Assisted Enzymatic Extraction of Tannic Acid from Chromolaena Odorota sp.
Authors: Kamal AAA , Mohamad M , Sulaiman KA , Mohidem NA , Shoparwe NF , Teo PT , Masri MN , Yusoff AH
Published: December 2021

Previous study only implemented the time consuming and low amount of yield technique for extraction from Chromolaena odorata which is conventional method. Nonconventional extraction method with short extraction time and high amount of yield was applied in this study by applying ultrasound-assisted enzymatic extraction (UAEE). UAEE was used to extract tannic acid from Chromolaena odorata. The extraction parameters involved were enzyme concentration, sonication time and duty cycle at constant temperature of 50°C, solid to liquid ratio of 1:10 and sonication power at 60% amplitude. The optimum extraction process was found at cellulase enzyme concentration of 4%, sonication time of 60 minutes and duty cycle of 50% with the obtained concentration of tannic acid at 1.6152 mg/mL. The study showed that the UAEE could be employed to enhance yield of tannic acid, reduce the extraction time and ensuring green extraction method were applied in the study.
Efficient CNN Approach for Facial Expression Recognition
Authors: Zebari Gheyath Mustafa , Zebari Dilovan Asaad , Zeebaree Diyar Qader , Haron Habibollah , Abdulazeez Adnan Mohsin , Yurtkan Kamil
Published: December 2021

In the last decade, the Facial Expression Recognition field has been studied widely and become the base for many researchers, and still challenging in computer vision. Machine learning technique used in facial expression recognition facing many problems, since human emotions expressed differently from one to another. Nevertheless, Deep learning that represents a novel area of research within machine learning technology has the ability for classifying people’s faces into different emotion classes by using a Deep Neural Network (DNN). The Convolution Neural Network (CNN) method has been used widely and proved as very efficient in the facial expression recognition field. In this study, a CNN technique for facial expression recognition has been presented. The performance of this study has been evaluated using the fer2013 dataset, the total number of images has been used. The accuracy of each epoch has been tested which is trained on 29068 samples, validate on 3589 samples. The overall accuracy of 69.85% has been obtained for the proposed method.
Studies on Surface Plasmon Resonance of Murdannia loriformis Silver Nanoparticles
Authors: Mohamad Nazatul Nabila , Mahmood Ainorkhilah , Bakhari Nor Aziyah , Mydin Marlina Mohd , Arshad Norhafiza Mohd , Isa Norain
Published: December 2021

In this work, surface plasmon resonance (SPR) was investigated over the effect of concentration of metal precursor, concentration of reducing agent, reaction time and pH on formation of silver nanoparticles (AgNPs) using biological method. In this method, Murdannia loriformis extract (MLE) was used as reducing agent and silver nitrate as metal precursor. SPR of Murdania loriformis silver nanoparticles (MLE-AgNPs) was measured through UV-vis spectrophotometer over a range of 380 – 800 nm wavelength. It was found that, as the concentration of MLE, pH and reaction time increases, the SPR peak of MLE-AgNPs at 430 - 490 nm also increases. However, for effect of concentration of metal precursor, the result showed that SPR peak of MLE-AgNPs increases when 1 to 5 mM of silver nitrate was used but decreases for 10 and 15 mM. Significant of this study is to identify the optimum conditions for synthesis of MLE-AgNPs.
Physical and Mechanical Properties of Non-Stoichiometric Cordierite with Treated FGD Sludge Addition Sintered at 1250°C
Authors: Othman Fatin Fatini , Johar Banjuraizah , Khor Shing Fhan , Rejab Nik Akmar , Alias Suffi Irni
Published: December 2021

The effects of addition treated FGD sludge in non-stoichiometric cordierite, by benefiting from its high mechanical strength and good thermal performance, can hold promise for more practical applications of non-stoichiometric cordierite. Treated FGD sludge waste from borosilicate glass industrial were used as a flux to reduce the sintering temperature of cordierite. Cordierite ceramics were prepared using silica (SiO2), alumina (Al2O3), talc, kaolin, magnesia (MgO) and treated FGD sludge via solid-state reaction method. The cordierite were prepared by adjusting the ratio of FGD sludge and magnesia in the cordierite composition, respectively. 4 composition of cordierite with 0%, 1.5%, 3.0% and 4.5% of FGD sludge were prepared to obtain the formation of α-cordierite that can be determine by X-ray diffraction (XRD) analysis. Porosity, density, shrinkage and flexural strength for each of cordierite composition were determined to obtain the best composition of treated FGD sludge required for sintering aids of cordierite. Only FGD 3.0% able to synthesis pure α-cordierite while FGD 1.5 % shows an improvement in both porosity and density. The increasing amount of treated FGD sludge lead to decreasing in mechanical strength of cordierite ceramic due to porous formation.
Characterisation Of FGD Sludge From One of Glass Industrial in Malaysia and Their Potential as Ceramic Mould
Authors: Othman Fatin Fatini , Johar Banjuraizah , Khor Shing Fhan , Alias Suffi Irni , Rejab Nik Akmar , Adam Syed Nuzul Fadzli
Published: December 2021

Flue Gas Desulfurization (FGD) is a waste incineration process used to eliminate sulfur dioxide (SO2) from flue gas power plants. Limestone/gypsum was injected into the plant to trap sulfur dioxide and change their chemical composition from calcium carbonate to calcium sulfate dehydrate, known as FGD sludge wet scrubber. Nowadays, it is necessary to overcome the environmental pollution caused by the massive production of FGD sludge waste through recycling. In this research, FGD sludge was characterised to reveal its chemical composition, crystalline phase, and FTIR spectra characteristics. FGD sludge recorded a moderate alkaline with a pH of 8.24. Based on the XRD result, FGD sludge was mainly composed of gypsum (CaSO4•2H2O) and anhydrite (CaSO4). XRF analysis also shows that FGD sludge was mainly composed of calcium oxide, sulfur trioxide, silica, and potassium oxide.
Membrane-less microbial fuel cell: effect of pH on the electricity generation powered by municipal food waste
Authors: Azmi Nurhazirah Mohd , Anandita Nadira , Tajarudin Husnul Azan , Shoparwe Noor Fazliani , Makhtar Muaz Mohd Zaini
Published: December 2021

Fossil fuels have supported the industrialization and economic growth of countries during the past centuries and it is clear that they cannot indefinitely sustain in a longer time. In this study, membrane-less microbial fuel cell (ML-MFC) with mediators-less and air cathode had potential solution to generate electricity power and at the same time could reduce the abundant of food waste (1.64 kg/daily, around 8 tonnes/year) which dumped in the landfill and it’s cost effective device. The ML-MFC operated electrochemically incorporate electrogenic bacteria (EB) acted as a biocatalyst in order to produce electricity. The performance and optimization performance of food waste was evaluated using one-factor-at-a-time (OFAT) method and it was focused to pH for power generation. To determine the generated electricity the polarization curve was used to evaluate the performance of ML-MFC. The chemical oxygen demand (COD) of food waste was studied. The optimization of pH condition in ML-MFC was ranging from 7 to 9. Results showed that pH 8 was the optimum pH for EB strain, Bacillus Subtilis, with the high voltage (807 mV), EB biomass (15.46 mg/L), and power density (373.3 mW/m2) generated. Clearly the pH environment condition affected the efficiency of ML-MFC performance. The increase in EB biomass also increased the voltage in the ML-MFC, proving that EB biomass and voltage were associated with growth.
Effect of different yeast extract concentration in membrane-less microbial fuel cell (ML-MFC) for electricity generation using food waste as carbon sources
Authors: Malik Nurul Najwa Adam , Faizal Mohammad Mirza Mohammad , Tajarudin Husnul Azan , Shoparwe Noor Fazliani , Makhtar Muaz Mohd Zaini
Published: December 2021

Electricity constitutes one of the basic energies of our everyday life and approximately 14 % of the global population does not have the access to electricity. An abundance of waste is generated daily wherein food waste constitutes 45 % of the composition. A mediator-less and membrane-less single-chambered microbial fuel cell (ML-MFC) has the potential to serve as a cost-effective solution for food waste treatment and electricity power generation at no additional cost for the substrate. Food waste from E-Idaman Sdn. Bhd. Kedah was utilised in this study to generate electrical energy while focusing on the effect of different yeast extract concentrations on the performance of the ML-MFC. Electrogenic bacterial (EB) culture employed in this study acted as a catalyst for the power generation and was isolated from a previous ML-MFC study. The proximate analysis of food waste observed carbon constituting the greatest composition at 30.02 %. From the conducted preliminary study which compared three different strains of EB to be introduced in the ML-MFC, Bacillus subtillis sp. exhibited the highest specific growth rate, μ, (0.117 g. L−1/h) and shortest doubling time, Td, (5.93 h). One-factor-at-a-time (OFAT) method was utilised to evaluate the performance of the ML-MFC. 15 g/L yeast extract concentration obtained the greatest power density (628.05 × 106 mW/m2), substrate degradation efficiency (12.3 %), COD removal (99 mg/L) and biomass (44.32 mg/L). This showcased that the addition of extra yeast extract concentration into the food waste had boosted the efficiency of EB’s growth resulting in greater consumption of carbon source (removed COD value; bioremediation) in the food waste.
Improvement of Dissolved Oxygen in Perlis River based on Various Aeration Systems
Authors: Rani M F H , Kamarrudin N S , Shahriman A B , Razlan Z M , Wan K , Hashim M S M , Ibrahim I , Rahman A , Ibrahim Z , Faizi M K , Hassan M A S M , Abd Manap A A , Zainuddin I F
Published: December 2021

Water pollution is closely related to the Water Quality Index (WQI). One of the parameters in classifying WQI is dissolved oxygen (DO) that can be improved by introducing the surface and subsurface aerations. Herein, the Perlis River’s water quality was investigated by evaluating the DO’s improvement based on various aeration systems. The changes of DO (mg/L) and DO improvement (%) were evaluated during both low and high tide conditions. A total of 9 sets of data collection had been studied by comparing base DO (without running of aeration) and measured DO (with running of aeration) of river. The DO sensor was used to measure the changes of DO in the aeration measurement system. Results found that the DO improvement managed to achieve 74.89%, 10.18%, 35.58%, and 52.45% for water jet, air compressor, commercial venturi, and DIY venturi, respectively. Besides, different behaviour of DO’s improvement was observed during low and high tide conditions.
Implementation of automation in vibration-isolating supports of new type for engines of sea and river vessels
Authors: Fomichev P A , Fomicheva E V
Published: December 2021

In almost all areas of modern technology, the problem of vibration isolation arises, which is associated with the goal of improving the quality, reliability and productivity of various technical objects. One of the important tasks of shipbuilding is to reduce vibration levels of ship power equipment. This article proposes a non-linear control law for an electromagnetic hydraulic vibration-insulating support (EGVO) for ship power plants (SEP), which allows you to compensate for external harmonic disturbances at the SEP, which leads to an increase in their technological safety. The proposed control law of EGVO has advantages over various control laws of vibration-insulating systems of an active type for SEP. The proposed method can be used to create vibration-isolating active systems for various technical objects. The essential novelty of this method is a consistent synthesis of control laws and the creation of a single process of technological self-organization and control.
Laboratory studies of suspended particle volume concentration in atmosphere using a smartphone
Authors: Pronin S P , Kononova E S
Published: December 2021

The article presents the results of laboratory studies of the effect of volume concentration of suspended particles in contrast to the luminous slits image obtained by smartphone cameras of SAMSUNG Galaxy A3 and Honor 8 Lite. Experimentally it was found that a pattern of change in contrast to the luminous slits image from the volumetric concentration of suspended particles appears under ambient light. The pattern of contrast change can be expressed by an exponential function. The correlation coefficient is 0.97. Cigarette smoke was used as suspended particles.
Computer 3D-simulation of the temperature and diffusion kinetics of SHS in the closest packing of Ni@Al “core-shell” mesocells for modes with variable values of the key ignition parameters
Authors: Shmakov I A , Jordan V I
Published: December 2021

The paper presents the results of computer 3D-simulation of the temperature and diffusion kinetics of SHS in a test model cluster of Ni-Al particles for modes with variable values of the key parameters of the SHS combustion wave ignition. The key parameters for the SHS combustion wave ignition were chosen as follows: the initial temperature for preliminary heating of the Ni-Al particles mixture, the ignition temperature of the combustion wave in the mixture of Ni-Al particles, the duration of the action of the heat pulse until the combustion wave ignition, and the thickness of the ignited layer in the mixture of particles. A program has been created to generate a test model cluster in the form of the closest ball packing of the Ni@Al “core-shell” mesocells (CBP-structure cluster of the Ni@Al “core-shell” mesocells). Using such a CBP-structure cluster, was continued a testing of created software package intended for 3D-simulation of SHS macrokinetics in a heterogeneous particle mixture, taking into account parallel MPI-calculations. In addition, the value ranges of the key parameters of the SHS combustion wave ignition for which the simulation results are in adequate agreement with the experimental data are determined as the parameters of the program model for SHS-simulation. The results of computational experiments have shown that diffusion kinetics is interrelated with temperature kinetics, and in mesocells with different locations within the CBP-structure cluster, the formation of intermetallic phases occurs inhomogeneously.
The diffraction detector for the EMD of the CSNS
Authors: Yu Q. , Tang B. , Huang C. , Wei Y. , Chen S. , Tang M. , Wang X. , Xu H. , Sun Z. , Wei G.
Published: December 2021

On 23rd August 2018, the China Spallation Neutron Source (CSNS) located in Dongguan operated 4 neutron instruments. In the future, twenty neutron spectrometers will be built to provide multidisciplinary platforms for scientific research by national institutions, universities, and industries. Engineering Material Diffractometer (EMD), which will be used for strain measurements in engineering materials and components, will be constructed at the Beamline 8 in 2022. A novel thermal neutron detector, which will comply with the requirements of EMD application, is being developed. This detector will consist of 6LiF/ZnS(Ag) scintillation screens, wavelength shifting fiber (WLSF) arrays, a silicon photomultiplier (SiPM) and Application Specific Integrated Circuit (ASIC) read-out electronics. Each scintillation screen will be inclined with respect to the incident neutron beam at a grazing angle θ = 17°. Such geometry will not only improve the spatial resolution of detectors but also the neutron detection efficiency. The prototype of detector module has been tested at the neutron Beamline 20 at the CSNS. The experimental results obtained for this prototype illustrate that the pixel size of detector module is 3 mm and the detection efficiency exceeds 40% at the neutron wavelength of 1 Å. Based on these results, we design and manufacture the final version of the detector for the EMD application, which is characterized by low power consumption, highly integrated and easy to install. 70 such detectors will be installed till the end of 2021.
rBMSC osteogenic differentiation enhanced by graphene quantum dots loaded with immunomodulatory layered double hydroxide nanoparticles
Authors: Wang Zhaojie , Yang Huiyi , Bai Yuxin , Cheng Liming , Zhu Rongrong
Published: December 2021

Bone tissue defects caused by disease, trauma, aging or genetic factors emerged as one of the main factors that endanger human health. At present, advanced development of bone tissue engineering and regenerative medicine focused on the biomaterials regulated stem cell for responsive differentiation. In vivo transplantation of allogeneic bone materials has the needs of both osteogenic and immune regulation function. In this study, we utilized the extensively proved biocompatible layered double hydroxide (LDH) nanoparticles as the nanocarrier of graphene quantum dots (GQD), the functional loading was validated by characteristics analysis of scanning electron microscopy, surface zeta potential, X-ray diffraction and fourier transform infrared spectroscopy. Further, we investigated the cellular uptake of nanoparticles in rat bone marrow derived mesenchymal stem cells, the significant enhanced endocytosis was occurred in LDH-GQD treated groups. The enhanced osteogenic differentiation abilities of LDH-GQD were systematically investigated through alkaline phosphatase staining, alizarin red staining and qPCR analysis. In addition, the anti-inflammatory regulation of LDH facilitated the phenotypic transition of macrophage in LDH-GQD nanocomposites. Overall, the successful construction and functional validation of nanomaterials in this study will provide clinical therapeutic potential in bone defects regeneration.
Tipping point dynamics in global land use
Authors: Taylor Charles A , Rising James
Published: December 2021

Agricultural land use has recently peaked, both globally and across country income groups, after centuries of expansion and intensification. Such shifts in the evolution of global land use have implications for food security, biodiversity loss, and carbon emissions. While economic growth and land use are closely linked, it is difficult to determine the extent to which the relationship is causal, deterministic, and unidirectional. Here we utilize gridded datasets to study long-term global land use change from 1780 to 2010. We find evidence for an economic tipping point, where land use intensifies with economic development at low income levels, then reverses after incomes reach a critical threshold. Cropland peaks around $5000 GDP per capita then declines. We utilize a Markov model to show that this reversal emerges from a variety of divergent land use pathways, in particular the expansion of protected areas and a reduction in land use lock-in. Our results suggest that economic development remains a powerful driver of land use change with implications for the future of natural ecosystems in the context of continued population and income growth.
Identification of seawater intrusion in Gapura Sub-district, Sumenep Regency, East Java, Indonesia
Authors: Warist R K , Wilopo W , Setiawan N I
Published: December 2021

Gapura sub-district is located in the Sumenep Regency, Madura Island, that also recognized as the center of salt production. Due to not availability of a clean water network from the municipal water network (PDAM), the daily water need of the community is provided by groundwater. Local people have reported several brackish waters in the wells since a few years ago. Therefore, the purpose of this research is to identify seawater intrusion potential in this area. The seawater intrusion is analyzed based on the value of electrical conductivity (EC) and groundwater hydrochemistry. From the analysis of EC values, it can be concluded that there are two out of thirty groundwater samples classified as moderately saline water, while in the study of groundwater ion values, both two samples have chloride values that are more than 240 mg/L. However, the Cl and HCO3 ratio show that the two samples will only have a small effect on seawater. Therefore, it can be concluded that the Gapura sub-district does not have seawater intrusion. High salinity in some wells is mostly coming from salt production in this area.
Evaluation and development planning for clean water supply system of Sanih Fountain in Buleleng regency
Authors: Aryastana P , Sukaada N , Rahadiani A A S D , Yujana C A
Published: December 2021

The rising population and economic activity have induced an increase in the demand for clean water in Buleleng Regency, especially in Sawan, Kubutambahan, and Tejakula District, respectively. The distribution of clean water supply is carried out through house connections and public hydrant by the Water Supply Company of Buleleng Regency with service coverage only reaching 40.09% in 2018. So it is necessary to evaluate and develop plans for the existing clean water supply system to increase service coverage. The evaluation of the water supply system includes an analysis of the availability and demand of clean water based on the population, with a projection for the next 25 years. Analysis of the clean water supply system development plan considers the availability of water resources potential. The evaluation results show that the existing system has not met the water demands in the service area. The development plan carried out to fulfill the demand for clean water is by optimizing the discharge of the Sanih Fountain by 125 liters/second and the construction of the Bungkulan 2 well.
Evaluation and Enhancement of Sustainable Organic Fishpond Farming in the Sei Teras Fishpond Irigation Area, Central Kalimantan
Authors: Ciptadi R , Rahardjo A P , Kamulyan B
Published: December 2021

Sei Teras fishpond area was developed by the Banjar community in 2006. The conditions of the ponds in Sei Teras are still very simple, where the availability of seeds and feed is completely dependent on nature. The evaluation is based on the level of control and the production rate, while efforts for improvement are planned through controlling water quality. In the rainy season, the shrimp productivity ranges from 180 Kg/ha, while it can reach 450 kg/ha in the dry season. From the measurements results in November 2020-Mei 2021, it was noted that the salinity of the water in fishponds and canals ranged from 2 to 24.3 ppt while the water pH ranged from 6.11. to 7.87. Water quality parameters such as DO and pH have met the criteria for applying higher aquaculture technology, while other parameters such as Nitrate, Nitrite, Ammonia, TDS and Salinity require improvement and/or control. An alternative design is in the form of rearranging the fishpond system such as individual fishpond size. In addition, it is necessary to manage the fishpond irrigation network, namely by planning the main control structures separating fresh water and saline water, and rehabilitation of channels that experience sedimentation.
Synthesis of CNS, ZnO/CNS and ZnCr2O4/CNS composites from patchouli biomass by using microwave for remediation of pesticide contaminated surface water in paddy field
Authors: Setianingsih T , Purwonugroho D , Prananto YP
Published: December 2021

Patchouli biomass is a potential precursor for CNS synthesis. In this research, the patchouli was pyrolyzed using the microwave. The purpose of this research is to study the effect of microwave energy and activator toward physicochemistry of CNS and composite (ZnO/CNS) and application of ZnCr2O4/CNS for the pesticide polluted surface water remediation in paddy field. In the process, the biomass was pyrolyzed at four and 8W with and without the ZnCl2 activator. The products were blended and evaporated to obtain CNS and ZnO/CNS. The products were characterized using FTIR spectrometry, XRD, and dispersion test. The composites were used to synthesize ZnCr2O4/CNS at 600W in the microwave. The composites were used for buthylphenylmethyl carbamate pesticide degradation test (BPMC) for 48 h with H2O2 oxidation. The FTIR spectra indicated better carbonization for products taken using an activator at both microwave energies. The X-ray diffractograms showed the turbostratic structure of carbon obtained at 4W pyrolysis (with activator), meanwhile 8W pyrolysis (without activator). ZnO and turbostratic carbon structures were shown by the product of 8W pyrolisis with activator. The calcined composite indicated ZnCr2O4/CNS. The degradation test showed that ZnCr2O4/CNS(8W) catalyst decreased the BMPC concentration almost three times that of the composite (4W).
Flow Behavior of Boyong River as Revealed by Long-term Hydro-monitoring System
Authors: Hidayat M , Legono D , Wignyosukarto B , Jayadi R , Rahardjo A P , Hairani A , Harsanto P , Ikhsan J
Published: December 2021

Boyong River is one of many rivers originating from Mt. Merapi, flows across three autonomy administrative of Sleman Regency, Yogyakarta City, and Bantul Regency. The river experiences flood in the form of lava flow several times, and the 1994 and 2010 occurrences were considered the biggest ones along with the river history. In line with the rapid development of information and communication technology, efforts to develop the early warning system due to the Mt. Merapi disaster have been implemented by the Hydraulic Laboratory of Gadjah Mada University 2006. This paper presents the study results of Boyong River flow behavior by analyzing the data obtained from the monitoring system. The Gemawang Weir at Boyong River was selected as the river control point understudy; those include the catchment boundary, the catchment characteristics, and the hydraulic features. Monitoring equipment consists of an automatic water level recorder (AWLR), the flow visualization using a Brinno camera, and the hydrophone monitoring system. The flow hydrograph characteristics and its corresponding sediment transport rate are considered two parameters for identifying the flow behavior. The results show that the precursive and recession times of the flood hydrograph are about 1-3 hours and 3.5-5 hours, respectively.
Hydraulic model experiment of energy dissipation on the horizontal and USBR II stilling basin
Authors: Dermawan V , Suhardjono  , Prasetyorini L , Anam S
Published: December 2021

Flow conditions on overflow systems can result in construction failure, mainly due to the high flow energy. Stilling basin at downstream of the spillway is useful for reducing flow energy. It can reduce the destructive force of water flow. Controlling the hydraulic jump is an important part that includes the jump’s energy, length, and height. The physical hydraulic model was carried out with several series, by making a series of bottom lowering of horizontal and USBR II stilling basin. The experimental study is expected to represent flow behavior in the overflow system regarding flow conditions and energy dissipation. Based on the analytical calculation of flow velocity, the amount of flow energy that occurs at each control point is calculated. The control points are the starting point of the spillway, the chute way toe, and flow depth after the hydraulic jump. The energy loss can be calculated for each control point, while the efficiency of energy dissipation on stilling basin is calculated at the downstream flow depth after the hydraulic jump. Velocity calculated by dividing discharge per unit width by water depth which is based on the flow depth measurement data in the hydraulic model.
Finding the optimum groin layout for the Konaweha river banks protection via 2D numerical modeling
Authors: Zulfan J , Ginting B M , Hidayat M N , Rimawan R
Published: December 2021

River bank erosion has become a critical issue, especially for river bends with an alluvial soil type. Mostly, river bank erosions have caused structural failures because many national roads in Indonesia are placed near the river bend areas. Groins can reduce flow velocity, thereby increasing riverbank stability. However, most groins were installed in the river without impacting the river flow due to the improper design. This paper analyzes the use of groins placed at the river bend of the Konaweha River to protect the river bank with a length of 250 m from erosion. The evaluation employs 2D numerical modeling using MIKE21 FM to observe the influence of the groin on the river velocity, flow distribution pattern, and water level. Sixteen model scenarios with four groin configurations were tested for 25-year discharge, 2-year discharge, normal discharge 600 m3/s, and low discharge 197 m3/s to achieve the most effective plan. Based on the simulation results, Scenarios with five groins are recommended to reduce the flow velocity along the outer river bank from 2 to 0.3 m/s, thus minimizing the erosion. In addition, the spacing of groins being twice the groin length is recommended.
Flow and sediment transport in a sharp river bend using a 3D-RANS model
Authors: Sisinggih D , Wahyuni S , Rasyid A
Published: December 2021

Flow dynamics and sediment transport in a river bend have recently been studied using experimental and numerical investigations. A three-dimensional numerical modeling model named NaysCUBE was used in this study to describe the flow pattern and process of sediment transport in a sharp river bend as a complement to the prior work of the physical hydraulic model. The model uses the RANS equation to simulate flow where a fully complex 3D flow is governed. Despite the limitations of the RANS model, NaysCUBE well reproduces the flow pattern and turbulence phenomena in a movable bed channel with sharp curvature. Compared with data from a prior experiment, the morphological adjustment is simulated sufficiently. The three-dimensional flow structures are useful for determining the appropriate countermeasures for local scouring and riverbank protection.
Simulation of debris flows in the watershed of the Putih River, Indonesia using SIMLAR 2.1
Authors: Ikhsan J , Ardiansyah R , Legono D
Published: December 2021

In 2010, the eruption of Mount Merapi produced a huge volcanic material for debris flows. One area affected by the debris flows is the watershed of Putih River. To predict the impact caused by debris flows can be done by using software such as the Simulation Lahar (SIMLAR) 2.1. In this paper, debris flow modelling will be carried out using SIMLAR 2.1 in conditions without sabo dams and using sabo dams. This simulation aims to determine the effectiveness of the sabo dams in reducing the impact of debris flows. The data used are rainfall data, DEM and sediment data in Putih River. The results show that the sabo dam building can slow down the velocity of debris flow. In addition, sabo dams also function as a barrier to riverbed erosion in the Putih River watershed. Based on the results above, it can be concluded that SIMLAR 2.1 can predict the impact of debris flows in the Putih River watershed.
Determination of Types and Characteristics of Laterite Soil as Basic Land for Building Construction
Authors: Chandrasasi D , Marsudi S , Suhartanto E
Published: December 2021

Laterite soil is red soil because it contains iron and aluminum. It is an old type of soil, so it is suitable for all plants. Laterite soils are located in the reservoir area of the Wonogiri Dam - Central Java. The nature of laterite soil that quickly absorbs water and the soil texture is strong and dense indicates the type of soil used for a mixture to make roads. This study aims to identify and characterize the lateritic soils to support the construction of roads that will be used. It is needed to test the soil’s property index, including moisture content test, density test, Atterberg limit, and grain sieve analysis. At the same time, it tested the classification of laterite soil characteristics using standards of USCS and AASHTO. To test the shear strength of the laterite soil is using Direct Shear. Based on the analysis, the laterite soil from sedimentation in Wonogiri dam is classified as poor and does not meet the requirements to be used as a subgrade in building construction. It can be considered include need to improve to carried out first.
Evaluation of the Open Diversion Channel Capacity on Margatiga Dam Construction Project using 6D BIM Analysis
Authors: Nugraha  , Hermawan F D , Monica S
Published: December 2021

The Margatiga Dam is designed to combine a gravity concrete dam and rockfill with an upright core. In the Margatiga Dam Project, river diversion is carried out in 2 stages. Stage 1 through a trapezoidal open channel with discharge plan of Q10 years approximately 789.10 m3/second and stage 2 with the diversion discharge of Q25 years approximately 976.90 m3/second. During construction, the stage 1 diversion channel is built with a capacity that exceeds the planned design due to the very high water level fluctuations. Moreover, an evaluation is needed regarding the annual plan discharge that passes through stage 1. The Evaluation is based on data from the desk study and 6D BIM analysis. Based on the analysis, the water level is at elevation +19.50. The discharge through the diversion channel on this stage is 884.69 m3/second; this discharge exceeds the planned discharge design for diversion channel stage 1 with an annual Q10 discharge of approximately 789.10 m3/second.