bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on dynamic water environmental capacity of the river network in Wenhuang plain based on the hydrodynamic and water quality coupling model
Authors: Ma H B , Tian C C , Huang D J , Wang L T 
Published: June 2021

Abstract
The calculation of water environment capacity (WEC) is the basis of pollution control, and it is of great significance to the formulation of water environment quality management scheme meanwhile. Due to the precipitation varies with seasons, WEC has an obvious temporal dynamic feature, that is ignored in the traditional method under a single fixed hydrological condition design hydrological condition. Thus, on the basis of the hydrodynamic and water quality coupling model, the trial-and-error method was adopted to investigate the traditional and dynamic (by month) WEC of NH3-N of Wenhuang plain of Zhejiang Province in this paper. The result shows that WEC had a relatively large fluctuation during the year, of which the value was distinctly lower in dry season and the peak was present in June. It can be concluded that the dynamic algorithm was more in line with the actual circumstances compared with the traditional method.
Operation Safety Analysis of Diversion Tunnel with Unfavourable Geology Condition Based on Finite Element Simulation
Authors: Wu WeiYu , Lu WeiRan 
Published: June 2021

Abstract
The diversion tunnel of a hydropower station has unfavourable geological tunnel sections, and many collapses occurred during the excavation construction. It was put into operation after treatment with reinforced concrete lining. However, the operating conditions are quite different from the design conditions: the tunnel is in a low water-level operation or emptying state for a long time. Therefore, a safety analysis of the tunnel section is required. In this paper, a 3-dimensional finite element model is established by reasonable geological parameters for numerical simulation. The simulation results show that the support lining scheme during construction can temporarily guarantee the stability of the surrounding rock and the safety of the lining structure. However, the reducing strength security reserve coefficient of the surrounding rock is relatively low. It is recommended to strengthen monitoring and regularly inspecting of tunnel emptying?
Morphological, Physiological and Agronomic Characteristics of Cassava Superior Variety of Coastal Land
Authors: Amarullah  
Published: June 2021

Abstract
Additional information on morphological, physiological and agronomic performance for different cassava genotypes will support decision making for genetic resource selection, cultivation techniques and development of the desired crops for water-limited conditions such as coastal or coastal land. The purpose of this study was to evaluate the morphological, physiological and agronomic characters of eight cassava genotypes, namely Adira-1, Adira-4, Malang-4, Malang-6, UJ-3, UJ-5, Singgah and Ketan grown in the environment. dry land on coastal lands during high accumulation of root storage during mid 2018-2019. The study used a completely randomized design (RCD) with one factor and five replications. Morphological characteristics (plant height, stem diameter, number and shape of branches) were observed during growth. Physiological characters (leaf area index), chlorophyll content and photosynthetic activity) were observed 180 days after planting. The agronomic characteristics associated with tuber yield were observed at harvest. The results showed that cassava in coastal land had morphological characters (stem 277.78 cm high, 3.09 cm in diameter, varied branches), physiological characters (LAI = 3.85, leaf chlorophyll content = 1.29 mg g-1 with high photosynthetic activity), agronomic character (tuber yield 11.09 t / ha, dry weight 8.65%, 0.74). There is a positive relationship between several parameters in morphological and physiological characters on the agronomic characters related to the yield of cassava. All superior cassava varieties showed better performance compared to local glutinous rice varieties. Malang-4 and Malang-6 varieties produced tuber weights with dry matter and high yield harvest index (13.65 kg / plant + 8.69% + 0.77 and 13.81 kg / plant + 8.68% + 0, 77)
Distribution of Turbidity Values, Total Suspended Solids and Heavy Metals Pb, Cu in Tanah Merah Beach Waters and Semujur Island Waters, Bangka Tengah Regency
Authors: Yusuf M , Pamungkas A , Hudatwi M , Irvani  
Published: June 2021

Abstract
The high activity of tin (Sn) mining in the coastal areas of Bangka waters has an impact on turbidity, suspended solids, and increased levels of heavy metals (Pb, Cu). The study was conducted from February until April 2020 aims to determine the relationship between turbidity, total suspended solids (TSS), and concentrations of Pb and Cu in the Tanah Merah beach waters (TM) and Semujur Island waters (SM) which are characterized by the presence or absence of tin mining. (Sn) as a source of pollution. The results showed that the level of turbidity in TM (0.8-3.4 mg/l) was higher than in SM (0.4-0.8 mg/l) and Total Suspended Solid values in TM (149-185 mg/l) were lower than in SM (165-202 mg/l) and between (155-175 mg/l). The concentrations of heavy metals Pb in TM (0.05-0.09 mg/l) and Cu in TM (0.01-0.02 mg/l) were lower than in SM (Pb: 0.12-0.14 mg/l) and Cu (0.04-0.1 mg/l). Turbidity levels and high TSS values can be affected by the speed and direction of ocean currents. Heavy metals Pb and Cu are thought to be bound very effectively by TSS, their distribution is strongly influenced by the direction of the current and the velocity of the current formed.
Organoleptic Quality of Tuna Porridge Canned with Fortified Tuna Bone Meal
Authors: Tangke U , Daeng R A , Katiandagho B 
Published: June 2021

Abstract
Porridge is a cereal based meal which may be combined with tuna meat and bone meal for improved nutritional content, particularly calcium. Good quality tuna porridge canned must be beneficial to health, of high nutritional value and acceptable to sensory organs. This research aims at obtaining a formulation of tuna porridge canned product with fortified tuna bone meal with good organoleptic quality and acceptable to the society. The use of completely randomized design with fortification treatments 0%, 1%, 2% and 3% and three repetitions in the research method is expected to present an overview of the organoleptic quality of tuna porridge canned. The research result shows that fortified tuna bone meal significantly influences the organoleptic quality of taste and texture and does not significantly influence the organoleptic quality of color and smell. The analysis using the Bayes method results in the best product of tuna porridge canned with fortified tuna bone meal 1%.
Research on Energy Acquisition, Monitoring and Analysis Platform of Integrated Energy System Based on NB-IOT
Authors: Zhang Xinhua , Qu Yi 
Published: June 2021

Abstract
His paper introduces the energy acquisition and monitoring analysis platform of the integrated energy system based on NB-IOT, the system platform realizes the collection, storage, statistics and monitoring analysis of comprehensive energy consumption information such as electricity / water / gas based on NB-IOT communication technology, and provides effective data support for the promotion and construction of comprehensive energy system.
The impact of COVID-19 on the performance of food clusters MSMEs in Surabaya
Authors: Siswanto V K , Pamungkas A , Kusuma S H , Kuniawati U F , Puspita A D A 
Published: June 2021

Abstract
Based on the results of the Inter-Census Agricultural Survey (SUTAS) in 2018 and the Economic Census (SE) in 2016 was done by the East Java Provincial Government, the City of Surabaya had 385,054 MSMEs. However, Surabaya’s current condition was bad because until 17 May 2020 the number of people infected by COVID-19 in Surabaya was 1035 patients of supervision and 3190 people under monitoring (ODP), with 110 people who died as a result of this pandemic and 130 people had recovered from COVID-19. A large number of patients infected by COVID-19 in Surabaya may be an impact on the condition of Food Clusters MSMEs in Surabaya. This research aims to determine the impact of COVID-19 on the performance of food clusters MSMEs in Surabaya. This research method is descriptive, namely research that describes a situation without any treatment of the object under study. The result, that COVID-19 has any impact on the performance of food clusters MSMEs in Surabaya such as difficulties in accessing raw materials, decreasing production levels (including production costs), individual capital difficulties, marketing difficulties (including transportation costs), administrative procedures, and training become unsustainable.
Local identity of sustainability perspective in Brayut Tourism Village, Sleman, Yogyakarta
Authors: Kinanthi M , Muqoffa M , Pitana T S 
Published: June 2021

Abstract
Globalization and technology provide opportunities as well as vulnerability in various fields, including spatial production and architecture. One of the effects of globalization that can’t be avoided is the inclusion of understanding and concepts of development, which aren’t necessarily in accordance with the social, cultural conditions of our society, such as environmental problems that aren’t rooted in the local context. A historic area that has a strong cultural background, has identity problems related to modern and traditional aspects. This journal aims to see the importance of maintaining local identity from tangible and intangible aspects, so that the “spirit” or identity can always adjust to the times in the era of globalization, especially in the tourist village of Brayut, Sleman, Yogyakarta. The method used in this research is descriptive qualitative method, through field observation, interview and documentation. The results of this study indicate that local identity in the tourist village of Brayut is able to adapt to the challenges of globalization by utilizing and preserving cultural heritage buildings and fulfilling the four pillars of sustainability namely, cultural, social, economic, and environmental. The role of the community in managing the development of the built environment in historic areas also influences its sustainability.
A Review: Different Challenges in Energy-Efficient Cloud Security
Authors: Kumari Poonam , singh Meeta 
Published: June 2021

Abstract
Cloud Computing is the hottest research area today because of its ability to reduce costs associated with computing while increasing scalability and flexibility for computing services. Cloud computing is Internet based computing because it provides on demand dynamically to consumers by sharing resources and providing information to the software. Cloud Computing is one of the fastest growing technology IT trade for business. Cloud computing security has become a major cause of hindrance in its development. Cloud computing security is set of policies, procedure, controls, roles, permissions and technologies that work together to protect cloud based system and data. Cloud computing security has become a latest topic in academic research and industry because Cloud users have to save their data in the cloud so lack of security in the cloud cans loss the user’s trust. This paper discusses review of security in cloud computing. The study is based on all the levels of SaaS (Software as a Service), PaaS (Platform as a Service) and IaaS (Infrastructure as a Service) and the deployment model (Private, Public, Hybrid, and community cloud.
Transesterification and Reactive Extraction of Castor Oil for synthesis of Biodiesel/Biolubricant
Authors: Pradhan Subhalaxmi , Saha Chandreyee , Kumar Manoj , Naik S.N. 
Published: June 2021

Abstract
The use of non-edible vegetable oils as a substitute for petroleum fuel has gained popularity due to increased environmental contamination and depletion of petrochemical resources. There is high percentage of oil in castor seeds, that can be converted into biodiesel and biolubricant. Castor oil has high lubricity due to presence of higher percentage of (nearly 90%) ricinoleic acid. In comparison to other vegetable oils, ricinoleic acid having a double bond and a hydroxyl group, gives higher lubricity to the castor oil and its alkyl esters. The study comprises production of castor oil alkyl esters from castor oil using different alcohols such as methyl, ethyl, propyl and butyl alcohol. The reaction parameters are optimized to get effective yield for all the four alkyl esters. Propanol was used as both an extracting solvent and a transesterification reagent in the reactive extraction of castor seed. The physico-chemical characteristics like low cloud point, pour point, oxidation stability and lubricity of castor oil alkyl esters was determined, which suggests that methyl and ethyl esters of castor oil could be used as a sustainable biodiesel whereas higher alkyl esters such as propyl and butyl esters are suitable for biolubricant.
String cosmological model in bianchi type IX inflationary universe with flat potential
Authors: Sharma Sanjay , Poonia Laxmi , Maheshwari Varsha 
Published: June 2021

Abstract
String cosmology has been investigated in a spatially symmetric Bianchi-IX line element under consideration of flat potential. To illustrate the nonlinear system of field equations an appropriate relation between the metric coefficient and the hybrid expansion law (HEL) for the scalar factor a (t) is considered i.e. a(t) = a
0
t

γ
1

e

γ
2
t
where γ1 and γ2 are the non-negative constants and a
0 denotes current value of a(t). It has been observed that the energy density and particle density diverge initially and become finite for large t. The tension in string clouds tends to infinite when t = 0 and constant value at a large value of t for m>1. The proper volume is also increases with time in exponentially way favorable to inflationary criteria. Expansion and shear infinite large initially and approach to finite value at late time. Some structural aspects of the model and their importance are pointed.
Contaminant Removal from Shrimp Rearing Wastewater by Wetland Plant Species (Echinodorus amazonicus)
Authors: Quang-Tuong Luong , Thanh Tran 
Published: June 2021

Abstract
Intensively aquaculture activities in culturing shrimp (Macrobrachium rosenbergii) often increased contaminants in the water. Our research is conducted to evaluate the phytoremediator performance of wetland plant as Echinodorus amazonicus with 20.75 ± 0.16 g of fresh weight (1.857 ± 0.157 g of dry weight) for removing pollutants of 7 liters of shrimp farming effluent from the first day to the 16th day. There are two treatments in 16 days as following, treatment without plant named Control (n=2) and another treatment with plant named Experiment (n=3). Physical and chemical indicators are temperature, pH, EC, TDS, DO, for daily monitoring during 16 days of experimental set up. Water samples are collected at the first day, 6th day, 11th day and 16th day for analysis of indicators ammonium-nitrogen (NH4+-N), phosphate (PO4
3--P), iron (Fe) and copper (Cu). Results show the growth of Echinodorus amazonicus with 100% survival rate. To be concluded, the use of Echinodorus amazonicus as phytoremediator in this study removed NH4+-N, PO4
3--P, Cu and Fe pollutants at various times under static conditions at laboratory condition.
AI based Birds Sound Classification Using Convolutional Neural Networks
Authors: Anand R , Shanthi T , Dinesh C , Karthikeyan S , Gowtham M , Veni S 
Published: June 2021

Abstract
To classify and recognize the sounds which are produced by the birds which are used for the identification of species of the bird. The identification of bird species in captured audio files will be a transformational method for scholars, wildlife biologists and birders. In latest years, artificial neural networks have dramatically increased the detection efficiency of bird species recognition using machine learning systems. There is a lot of study in audio recognition using machine learning. This work may help for the easy identification of birds living in a locality and studying of birds’ migration.
Bianchi - III inflationary universe for perfect fluid distribution using Cosmological constant in general relativity
Authors: Poonia Laxmi , Kumawat Sunil , Sharma Sanjay 
Published: June 2021

Abstract
In this study Bianchi-III universe for perfect fluid under effect of the cosmological constant is investigated. The complicated system of field’s equations are resolved in the existence of conservation condition of energy-momentum and a relativistic relation among metric potential is assumed i.e. b = c k
. here k ` 1 is a constant. The dynamical features of the constructed model are also pointed
Seismic soil structure interaction of reinforced concrete frame building supported on foundations
Authors: Bhuvana Rekha I , Lingeshwaran N , Agarwal Sunny , Madavarapu Sateesh 
Published: June 2021

Abstract
Soil Structure Interaction (SSI) determines the response of structures during seismic activity. An engineering review committee deals only with the study of soil structure interaction as compared to free motion, gives an appreciable impact on the basement motion. This article investigates the influence of soil structure interaction on RC frame building with seismic excitations. By taking different cases like 5, 10, 15, 20 storey of varying soil types are type I, type II and type III, different foundation types are isolated, combined, mat, pile. The entire foundation-soil-structure system is modelled and analyzed in a finite element based SAP2000 Software, to study the stress on soil and framed structure in the presence of SSI. Finally, a comparative study between with and without SSI to reinforced concrete framed structure is done. The study shows that SSI effects are higher than regular approach if we include the SSI effects in our analysis and design of structure to get a safety design.
A review on multi nozzle electrohydrodynamic inkjet printing system for MEMS applications
Authors: Biswas Adrija , Roy Shibendu Shekhar 
Published: June 2021

Abstract
New microproducts require to utilize the variety of materials. Their complex three-dimensional microstructures have big aspect ratios. This ability to fabricate geometrically complicated 3D microstructures provides some additional profits to the additive manufacturing systems over traditional methods. Among the enormous variety of micro-products, depending on the mixtures of usefulness of the product and fundamentals of operation, the foremost types are micro-opto-electro-mechanical systems, micro electromechanical systems, micro-optical electronics systems and microelectronic products. Electrohydrodynamic inkjet printing is an innovative high-resolution technology of inkjet printing which has the benefits of being a non-contact, maskless, additive and direct-write methods. The resolution of printing of EHD surpasses by approx. two orders of magnitude compared to the general inkjet printing methods. It has been used mostly in cases of nano or micro manufacturing of very small objects for modelling of a big range of constituents on different substrates having the alternatives of either Drop-On-Demand mode or continuous mode. It is considered to be a capable substitute to thermal and piezoelectric based inkjet printing methods since it has a unique quality of producing small jet or droplets in comparison to the nozzle orifice. Several advantages in fine patterning are presented by EHD inkjet printing processes, but the little manufacturing speed of EHD inkjet printing is an unadorned disadvantage that has been hindering its probable extensive uses in the industry of electronics. To overcome this restriction, the direct printing of colloidal solutions with the help of multiple nozzle EHD inkjet printing method is used. This review offers a short account of multiple-nozzle electrohydrodynamic inkjet printing of colloidal solutions for its application in MEMS.
Prediction of passenger flow for north central railway region through ANN
Authors: Singh Anoop Pratap , Tripathi Ajay , Dwivedi Ravi Kumar , Garg Anurag , Kumar Rajan 
Published: June 2021

Abstract
A new method of prediction method is described in this paper. The passenger rate for the north central railway (NCR) region is estimated by using artificial neural networks (ANN). An ANN model is developed here that can logically estimate passenger flow rates. Which helps the decision makers to make the strategies according to the falling population. In this analysis data from the North Central Railway region from January 2009 to December 2015 have been taken, data such as passenger revenue, months and years, festival seasons and passenger numbers. When predicting passenger flows for the months of January and February 2016, an error of less than 2.9% is found. Therefore, it’s concluded that an ANN prediction method is applied in passenger flow prediction in railways.
Three-dimensional finite element analysis on the flexural behavior of composite beams under linear displacement
Authors: Kumar T Hemanth , Harsha G Sri 
Published: June 2021

Abstract
This paper presents a three-dimensional finite element model for reinforced concrete beams to study their flexural behavior under linear displacement with different mesh sizes. The model was assessed in terms of failure modes and ultimate strength of composite beams with three different mesh sizes. This was found to be accurate in taking the linear displacement of the specimens. The analysis was further carried out to study various parameters like the percentage of horizontal and vertical web reinforcement, bending moment, shear strength, compression damage, and tension damage. Based on the results of this study optimum mesh size was proposed for further analysis.
Computational fluid dynamics and thermal analysis of a lithium-ion battery with different cooling system for electric vehicles
Authors: Turaka Seshaiah , Obulu P. , Vijaya Kumar Reddy K. 
Published: June 2021

AbstractLithium-ion batteries are the main bases available for electric vehicles and hybrid electric vehicles, because of clean energy transportation as compared to other power sources developed by traditional I.C Engines. In order to get high discharging Lithium-ion batteries battery condition, there is a significant temperature difference should be maintained in between battery temperature and appropriate local temperature. In this paper presents the model designed with different type of heat pipe shapes modeling in CREO parametric software and analyzes the heat pipe with different mass flow inlets (30& 50L/min) thermal thermal analysis done in ANSYS to determine the temperature distribution and heat flux for two types of phase change materials (RT50 & Li Fe PO4). Also, Computational Fluid Dynamics analysis (CFD) is to calculate pressure (pa), velocity (m/s), heat transfer coefficient (w/m2k), mass flow rate (kg/sec) and heat transfer rate (w) for the different designs of heat pipe and different mass flow inlets. It has been observed that in thermal analysis the heat flux value is more for lithium ion phosphate phase change material (Li Fe PO4) than RT50 phase change material at U-bend heat pipes. Similarly in CFD analysis observed that mass flow rate (kg/sec), heat transfer rate (w), heat transfer coefficient (w/m2k) values are increases by increasing the mass flow inlets and heat transfer rate more at straight type heat pipes as compared to bend type.