bluuebunny/crossref_metadata_2025 huggingface dataset:
Simultaneous Determination and Quantification of Triterpene Saponins from Camellia sinensis Seeds Using UPLC-PDA-QTOF-MS/MS
Authors: Wu Xuejin , Jia Lingyan , Wu Jiafan , Liu Yawen , Kang Hyunuk , Liu Xiaobo , Li Pan , He Puming , Tu Youying , Li Bo
Published: October 2019

Saponins in the Camellia sinensis seeds have a broad spectrum of biological properties and application potentials. However, up to now, no chromatographic methods have been developed to provide full fingerprinting and quality assurance for these saponins. This research aimed to develop a novel method to tentatively identify and quantify saponins in C. sinensis seeds by ultra-high-performance liquid chromatography coupled with photo-diode array detector and quadrupole time-of-flight mass spectrometry (UPLC-PDA-QTOF-MS/MS), and compare it with the classic vanillin-sulfuric acid assay. Fifty-one triterpene saponins, including six potentially new compounds, were simultaneously detected by UPLC-PDA-MS/MS, and their chemical structures were speculated according to the retention behavior and fragmentation pattern. The total saponin content in the crude extract and the purified saponin fraction of C. sinensis seeds were quantified to be 19.57 ± 0.05% (wt %) and 41.68 ± 0.09% (wt %) respectively by UPLC-PDA at 210 nm, while the corresponding values were determined to be 43.11 ± 3.17% (wt %) and 56.60 ± 5.79% (wt %) respectively by the vanillin-sulfuric acid assay. The developed UPLC-PDA -MS/MS method could determine specified saponins, and is more reliable for quantifying the C. sinensis seed saponins than the classic spectrophotometric method. It is of great significance for the future investigations and applications of these saponins.
Effects of Organic Acids, Amino Acids and Phenolic Compounds on Antioxidant Characteristic of Zhenjiang Aromatic Vinegar
Authors: Zhang Bo , Xia Ting , Duan Wenhui , Zhang Zhujun , Li Yu , Fang Bin , Xia Menglei , Wang Min
Published: October 2019

Zhenjiang aromatic vinegar (ZAV) is one of the famous Chinese vinegars, which contains various physicochemical and bioactive compositions. In the present study, physicochemical properties and total antioxidant activity were detected in ZAV samples. The correlation between of organic acids, amino acids, phenolic compounds, and the antioxidant activity of ZAV were explored. The results showed that contents of total acids, soluble solids, reducing sugar and total antioxidant activity in ZAV were increased with aging time, and those in ZAV-5 were the highest. Organic acids and amino acids exhibited weak antioxidant activity, while phenolic compounds had higher antioxidant ability. In addition, amino acids had synergistic effect on the antioxidant activity of phenolic compounds, whereas organic acids inhibited the antioxidant activity of phenolic compounds. Moreover, it was found that phenolic compounds including catechin, vanillic acid and syringic acid showed higher contribution rates to antioxidant activities of mixed phenolic compounds. In conclusion, these findings would provide references to control the antioxidant characteristic of vinegar through regulating the main compositions, and further improve the quality of vinegar production.
Synthesis and Cyclooxygenase Inhibition of Sulfonamide-Substituted (Dihydro)Pyrrolo[3,2,1-hi]indoles and Their Potential Prodrugs
Authors: Laube Markus , Gassner Cemena , Kniess Torsten , Pietzsch Jens
Published: October 2019

Non-invasive imaging of cyclooxygenase-2 (COX-2) by radiolabeled ligands is attractive for the diagnosis of cancer, and novel highly affine leads with optimized pharmacokinetic profile are of great interest for future developments. Recent findings have shown that methylsulfonyl-substituted (dihydro)pyrrolo[3,2,1-hi]indoles represent highly potent and selective COX-2 inhibitors but possess unsuitable pharmacokinetic properties for radiotracer applications. Based on these results, we herein present the development and evaluation of a second series of sulfonamide-substituted (dihydro)pyrrolo[3,2,1-hi]indoles and their conversion into the respective more hydrophilic N-propionamide-substituted analogs. In comparison to the methylsulfonyl-substituted leads, COX inhibition potency and selectivity was retained in the sulfonamide-substituted compounds; however, the high lipophilicity might hinder their future use. The N-propionamide-substituted analogs showed a significantly decreased lipophilicity and, as expected, lower or no COX-inhibition potency. Hence, the N-(sulfonyl)propionamides can be regarded as potential prodrugs, which represents a potential approach for more sophisticated radiotracer developments.
Synthesis of Novel Nicotinic Ligands with Multimodal Action: Targeting Acetylcholine α4β2, Dopamine and Serotonin Transporters
Authors: González-Gutiérrez Juan Pablo , Pessoa-Mahana Hernán Armando , Iturriaga-Vásquez Patricio Ernesto , Reyes-Parada Miguel Iván , Guerra-Díaz Nicolas Esteban , Hodar-Salazar Martin , Viscarra Franco , Paillali Pablo , Núñez-Vivanco Gabriel , Lorca-Carvajal Marcos Antonio , Mella-Raipán Jaime , Zúñiga María Carolina
Published: October 2019

Nicotinic acetylcholine receptors (nAChRs), serotonin transporters (SERT) and dopamine transporters (DAT) represent targets for the development of novel nicotinic derivatives acting as multiligands associated with different health conditions, such as depressive, anxiety and addiction disorders. In the present work, a series of functionalized esters structurally related to acetylcholine and nicotine were synthesized and pharmacologically assayed with respect to these targets. The synthesized compounds were studied in radioligand binding assays at α4β2 nAChR, h-SERT and h-DAT. SERT experiments showed not radioligand [3H]-paroxetine displacement, but rather an increase in the radioligand binding percentage at the central binding site was observed. Compound 20 showed Ki values of 1.008 ± 0.230 μM for h-DAT and 0.031 ± 0.006 μM for α4β2 nAChR, and [3H]-paroxetine binding of 191.50% in h-SERT displacement studies, being the only compound displaying triple affinity. Compound 21 displayed Ki values of 0.113 ± 0.037 μM for α4β2 nAChR and 0.075 ± 0.009 μM for h-DAT acting as a dual ligand. Molecular docking studies on homology models of α4β2 nAChR, h-DAT and h-SERT suggested potential interactions among the compounds and agonist binding site at the α4/β2 subunit interfaces of α4β2 nAChR, central binding site of h-DAT and allosteric modulator effect in h-SERT.
On the Use of Popular Basis Sets: Impact of the Intramolecular Basis Set Superposition Error
Authors: Vidal Vidal Ángel , de Vicente Poutás Luis Carlos , Nieto Faza Olalla , Silva López Carlos
Published: October 2019

The magnitude of intramolecular basis set superposition error (BSSE) is revealed via computing systematic trends in molecular properties. This type of error is largely neglected in the study of the chemical properties of small molecules and it has historically been analyzed just in the study of large molecules and processes dominated by non-covalent interactions (typically dimerization or molecular complexation and recognition events). In this work we try to provide proof of the broader prevalence of this error, which permeates all types of electronic structure calculations, particularly when employing insufficiently large basis sets.
The Rise of the Image Banks – a Threat for the Advertising Photography?
Authors: Kotsev Angel
Published: October 2019

The study presented in this article is part of the topic The Impact of Image Banks on the Advertising Photography in Bulgaria, which in turn is part of the doctoral thesis Trends in the Development of Bulgarian Advertising Photography in the Period 2000 – 2017. The purpose of the research is to explore the trends in the selection of an advertising image, i.e. when the preferred images are from image banks and when they are custom-made. The survey will present the number of photographs in Bulgarian advertisements taken from an image bank and the amount of custom made ones. Another issue considered is at what stages of the working advertising process stock images appear. What is also discussed is whether the stock image generating industry is detrimental to customized advertising photography and if it provides additional business opportunity for advertising photographic studios. Through analysis and in-depth interviews with art directors, custom commercial photographers and stock image photographers, the research will attempt to present and systemize specific trends in the working process of advertising agencies on the Bulgarian market and how this affects the advertising photography in Bulgaria. The term advertising photography will be used in the sense of custom photography created for a particular advertising project, while the term stock photography will be used to define a photograph created without a specific assignment and of general commercial nature.
On the Renewable Polymers from Agro-industrial Biomass: A Mini Review
Authors: Wahab Roswanira Abdul , Gowon Jacob Adikwu , Elias Nursyafiqah
Published: October 2019

Plant biomass is the most abundant natural resources on earth. However, current strategies for the utilization of agricultural biomass is far from efficient, thus environmental issues related to incompetent management of biomass prevail. Innovative handling of surplus biomass can yield several rewards, which includes renewability and sustainability of the commodity as feedstock for industrial and energy purposes. In fact, an array of different parts of a plant or agro-industrial biomass, for instance, shell, husks, wood, and leaves were successfully converted into advanced carbon materials, for use as absorbent, catalyst enzyme support, electrode, etc. In this review, an extensive literature survey related to areas of renewable sources of biopolymer in both the agricultural and industrial sectors were performed. Information on their industrial value and uses, the fundamentals of their extraction alongside the benefits and major drawbacks of their utilization, are also highlighted. We aim to show that the smart utilization of unwanted agro-industrial biomass encompasses a portion of a bigger scheme that intelligently uses biomass to complement current agricultural advancements that create smart crops and growing them using cleverly designed technology. The best part of this “Waste to Wealth” concept is that every part of the crop is fully utilized. However, a set of clear criteria must be in place to ensure a sustained momentum, so that the green approach of responsible biomass utilization will be fully embraced by nations worldwide.
Application of Lecithin-templated Mesoporous Silica Microparticles for the Specific and Selective Removal of Phospholipids
Authors: Lim Lee Wah , Marikah David , Takeuchi Toyohide
Published: October 2019

Phospholipids are among the many components of algae bio oil, and they harbor the trans-esterification process by poisoning the catalyst, hence the need for they removal prior to this process is crucial. Mesoporous silica materials are feasible and viable candidates for the selective removal of phospholipids by tailoring their surface morphology using different surfactants (templates) for specific and selective adsorption. In this study, the adsorption of phospholipids using lecithin template mesoporous silica microparticles (Leci-MSM) was investigated. Comparative studies using cetyltriammoniumbromide mesoporous microparticles (CTAB-MSM) were also carried out. Both Leci-MSM and CTAB-MSM were synthesized via sol-gel process, packed into mini columns and used for column breakthrough adsorption studies. Scanning electron micrographs revealed a particle size of 5.0 µm for Leci-MSM and 2.95 µm for CTAB-MSM. Textural analysis by BET and BJH exhibited a surface area of 425 and 1210 m2/g for Leci-MSM and CTAB-MSM, respectively. A pore volume of 1.59 and 2.77 cc/g for Leci-MSM and CTAB-MSM, respectively, were also obtained. In addition, Leci-MSM revealed a column breakthrough volume of 28 mL at 41 min, while for the CTAB-MSM was 46 mL at 53 min. The actual adsorption capacity recorded by Leci-MSM was 11.34 mg/g and 8.71 mg/g for CTAB-MSM.
Microfluidics Era in Chemistry Field: A Review
Authors: Kurniawan Yehezkiel Steven , Imawan Arif Cahyo , Rao Sathuluri Ramachandra , Ohto Keisuke , Iwasaki Wataru , Miyazaki Masaya , Jumina
Published: October 2019

By miniaturizing the reactor dimension, microfluidic devices are attracting world attention and starting the microfluidic era, especially in the chemistry field because they offer great advantages such as rapid processes, small amount of the required reagents, low risk, ease and accurate control, portable and possibility of online monitoring. Because of that, microfluidic devices have been massively investigated and applied for the real application of human life. This review summarizes the up-to-date microfluidic research works including continuous-flow, droplet-based, open-system, paper-based and digital microfluidic devices. The brief fabrication technique of those microfluidic devices, as well as their potential application for particles separation, solvent extraction, nanoparticle fabrication, qualitative and quantitative analysis, environmental monitoring, drug delivery, biochemical assay and so on, are discussed. Recent perspectives of the microfluidics as a lab-on-chip or micro total analysis system device and organ-on-chip are also introduced.
System problems in neuropsychiatric boarding schools activities detected by inspections of Roszdravnadzor
Authors: Серегина Ирина , Seregina Irina , Колоколов Антон , Kolokolov Anton
Published: October 2019

The article presents the results of inspections of psycho-neurological boarding schools, during which they were revealed following the results of inspections of Roszdravnadzor. The authors focus on systemic problems that impede the realization of the rights of persons with disabilities in stationary conditions of boarding schools. Measures are proposed to improve the activities of psycho-neurological boarding schools in order to improve the quality of life of people with disabilities living in stationary conditions.
METHODOLOGICAL PRINCIPLES OF FINANCIAL MANAGEMENT OF SUBJECTS OF ENTREPRENEURSHIP IN CONDITIONS OF UNCERTAINTY
Authors: Vodolazska Oksana
Published: October 2019

Introduction. The financial manager has to take into account a large number of factors in the process of adoption of managerial decisions. The effect of these factors can be caused by the uncertainty of the market environment. The emergence of a risk that destabilizes the financial and business activities of business entities and leads to financial losses can become a negative manifestation of uncertainty. Under such conditions, there is a need to clarify the methodological principles for reducing the level of uncertainty in the process of business risk management.
Purpose. The article aims to analyze and generalize theoretical and methodological approaches as for consideration the factors of uncertainty when making decisions in the framework of financial management of business entities.
Method (methodology). To generalize the methodological principles of consideration the uncertainty of the conditions of the functioning of business entities, when adopting financial decisions, the techniques of the abstract and logical method of research have been used. They are method of analysis, method of synthesis, method of analogy, method of comparison, method of abstraction and induction.
Results. The modern concepts of uncertainty and risk in the theory and practice of financial management of subjects of entrepreneurship have been analysed. Risk is considered as a result of uncertainty of market trends. The approaches to enterprise risk management have been defined. It has been substantiated that in conditions of unstable market environment the emphasis in financial decision-making procedures shifts from the optimal choice of alternatives of risk-taking activities to methods of studying and neutralizing factors of uncertainty and risk.
NATURE AND ORIGIN OF OBJECTIVE NECESSITY OF EXPERTISE
Authors: Kulyk Roman
Published: October 2019

In the article has analyzed the preconditions of the development of expertise. In result of the generalization and critical analysis of the definitions of the concept of "expertise", has formulated the author's interpretation and defined common characteristics.
The effect of frying frequency on acid value and peroxides in various types of oil
Authors: Laelia Rahma , Kurnia Pramudya
Published: October 2019

Background: People often store frying oil that will be reused or used repeatedly for several times, especially in salted fish frying. Cooking oil that has been used repeatedly with high temperatures or contact with water and oxygen will produce acid and peroxide values. This is due to the oxidation and hydrolysis processes causing oil damage. Objective: To identify the effect of frying frequency on the acid and peroxides value in various types of oil. Methods: This research was an experiment with salted fish frying based on a completely randomized design using three treatments (first, second, and the third frying processed) with three different types of oil, that were coconut oil, palm oil, and corn oil. Acids and peroxides values were analyzed using One Way Anova test continued with Duncan Multiple Range Test (DMRT) test. Results: Acid value in the three types of oil was still within the limits of the standards value 0.6 mg KOH/g based on SNI 3741: 2013 and free fatty acid 0.3% based on SNI 7709:2012. After first until third frying, peroxide value of coconut oil was still within the standard limit, whereas in palm oil and corn oil, after second frying were exceeded of the standard limit based on SNI which have maximal value 10 mek O2/kg. Conclusion: Frying frequency were affected by acid and peroxides values of coconut oil, palm oil, as well as corn oil.
Antifungal activity of onion (Allium cepa L.) essential oil on Candida albicans
Authors: Rahmi Miftahur , Agustia Felicia Aileen
Published: October 2019

Background:Onions (Allium cepa L.) contain essential oil that have sulfur compounds called thiosulfinates  or isothiocyanates which are known to have antibacterial and antifungal effects. Minimum Inhibition Concentration (MIC) test is needed to determine the minimum concentration of onion essential oil which can inhibit or kill  fungus test. Objectives: To determine the antifungal activity of essential oil in onion (Allium cepa L.) and to find out the Minimum Inhibitory Concentration (MIC) on Candida albicans. Methods:This research was an experimental study with disc diffusion method (Kirby Bauer) using Sabourond Dextrose Agar (SDA) media. Results: The results were obtained at concentrations of 20% (C1); 10% (C2); 5% (C3); 2.5% (C4); 1.25% (C5); 0.625% (C6); and 0.312% (C7) provided inhibition with an average diameter of 13.14 mm; 9.33 mm; 8.49 mm; 6.90 mm; 0 mm; 0 mm; and 0 mm respectively. Conclusion: Essential oil of onion (Allium cepa L.) could inhibit fungal growth of Candida albicans and Minimum Inhibitory Concentration (MIC) of essential oil onions (Allium cepa L.) indicated on concentration of 2.5% with a flat diameter average of 6.90 mm.
CHARACTERISTICS OF THE PROPERTIES OF CHICKPEA NODULE BACTERIA EXTENDED IN THE FOREST-STEPPE AND STEPPE ZONES UKRAINE
Authors: Lohosha O. V. , Vorobey Yu. O. , Usmanova T. O. , Strekalov V. M.
Published: October 2019

Objective. To compare morphological, cultural, physiological, biochemical, and symbiotic properties of strains of nodule chickpea bacteria isolated from different soil and climatic zones of Ukraine. Methods. Microbiological, microscopic, gas-chromatographic, statistical. Results. From the nodules of chickpea plant of varieties Skarb, Admiral, Odissei, Budzhak, Triumf and Pamiat, grown in the steppe zone of Ukraine (Region of Odessa), where an active rhizobia population was formed due to the continuous cultivation of this crop, 58 isolates of bacteria were isolated; 11 iso-lates were isolated from the nodules of plants of Triumf and Pamiat varieties selected in the forest-steppe zone (Region of Lviv), in the fields where chickpea was grown for the first time. It has been established that the strains of Mesorhizobium sp. 1 and Mesorhizobium sp. 2, which were isolated from the nodules of chickpea plants grown in the fields with an active rhizobia population of this culture, form colonies of 2–4 mm in size at day 3–4 on the mannitol yeast agar and, according to cultural and morphological properties correspond to the characteristics of the species Mesorhizo-bium ciceri. Their use for pre-sowing chickpea inoculation increases the mass of nodules (2– 3 times) and nitrogenase activity (1.4–2 times) compared with the results obtained using the pro-duction strain of Mesorhizobium ciceri H-12. Inoculation with Mesorhizobium sp. 11, isolated from the forest-steppe zone, which on a mannitol yeast agar forms a colony of 1–2 mm in size at day 5–6, contributed to a significant increase in the number of nodules on the roots of plants (by 40.5 %), their mass (by 31 %), but the increase in nitrogenase activity was negligible. Conclusion. Strains of Mesorhizobium sp. isolated from chickpea nodules grown in different soil-climatic zones of Ukraine, have similar cell morphology, but differ in growth rate, cultural, physiological, biochemi-cal, and symbiotic properties.
Lightweight Security Algorithm on PMIPV6 Protocol for IOT Based Wireless Sensor Networks
Authors:   Assistant Professor, Department of Computer Science, Cauverycollege for Women, Trichy,Tamilnadu, Anandhavalli* Ms.A. , Bhuvaneswari Dr A. ,   Cauvery College for Women (under the affiliation of Bharathidasan University), Trichy, Tamil Nadu, India.
Published: October 2019

Nowadays Wireless Sensor Networks are using Internet-of-Thing (IoT) technology-based nodes because of the wide usance and cost effectiveness. Many of the Wireless sensor nodes are battery powered devices with limited computational and communication resources. The algorithm of the conventional wireless sensor networks are designed for small closed group network communications with better power management and reasonable security strategies. When using IoT based Wireless sensor networks, the nodes are used to communicate with the internet, where there is a need for more secured algorithm. The internet protocols are having powerful security authentication systems those require more computational resources, thus they can drain a battery operated little wireless sensor node. This work is indented to introduce a legacy power-security balanced algorithm to use in the IoT based Wireless Sensor Network environments. Proxy Mobile Internet Protocol version 6 (PMIPv6) is selected as the base protocol in which the proposed security authentication mechanism is used instead of inbuilt Diffie-Hellman authentication scheme. A customized Media Access Control (MAC) address-based session key initialization procedure along with seed based random number session key update mechanism is proposed and verified in this work.
High Capacity Image Steganography using Pixel Value Differencing Method with Data Compression using Neural Network
Authors:   Department of Computer Science & Engineering, Haldia Institute of Technology, Haldia, West Bengal, India., Majumder* Jayeeta , Pradhan Chittaranjan ,   Department of Computer Science & Engineering, KIIT University, Bhubaneswar, Odissa, India.
Published: October 2019

The Digital Market Is Rapidly Growing Day By Day. So, Data Hiding Is Going To Increase Its Importance. Information Can Be Hidden In Different Embedding Mediums, Known As Carriers By Using Steganography Techniques. The Carriers Are Different Multimedia Medium Such As Images, Audio Files, Video Files, And Text Files .There Are Several Techniques Present To Achieve Data Hiding Like Least Significant Bit Insertion Method And Transform Domain Technique. The Data Hidden Capacity Inside The Cover Image Totally Depends On The Properties Of The Image Like Number Of Noisy Pixels. Data Compression Provides To Hide Large Amount Of Secret Data To Increase The Capacity And The Image Steganography Based On Any Neural Network Provides That The Size And Quality Of The Stego-Image Remains Unaltered After Data Embedding. In This Paper We Propose A New Method Combined With Data Compression Along With Data Embedding Technique And After Embedding To Maintain The Quality The Communication Channel Use The Neural Network. The Compression Technique Increase The Data Hiding Capacity And The Use Of Neural Network Maintain The Flow Of Data Processing Signal
Performance Evaluation of Digital Pre-Distortion Technique using Low-Complexity and Low-Precision ADC
Authors:   Electronics and Communication Department, Punjabi University, Patiala, India., Kaur* Impreet , Kaur Dr. Rajbir ,   Electronics and Communication Department, Punjabi University, Patiala, India., Singh Dr. Charanjit ,   Electronics and Communication Department, Punjabi University, Patiala, India.
Published: October 2019

This paper analyzes the Digital Pre-Distortion linearization technique using a low-precision Analog-to-Digital Converter (ADC). The output of a power amplifier exhibits various spurious emissions, spectral regrowth and intermodulation distortion (IMD) products due to its non-linear behavior. So, to preserve the performance of power amplifier, linearization becomes mandatory. Digital Pre-Distortion does the training on the output of the power amplifier (distorted signal) and generates exactly the inverse characteristics to that of power amplifier. Their cascading results into a linear response. In practical systems, the output of power amplifier has to go through an analog-to-digital converter for digital processing and a low-resolution ADC results in the degradation of the signal and affects the DPD performance. But a low-resolution ADC not only reduces the computational complexity in the digital processing but it also provides lower power consumption and costs less because less hardware would be required. In this work, the aim is to find the precision up to which ADC resolution can be reduced without affecting the DPD performance in a significant manner. This paper evaluates the performance of two DPD systems - Full-band DPD and Sub-band DPD and from simulations, it is observed that for a full-band DPD, 1-bit ADC can be reliably used and for a sub-band DPD, single bit to 4-bits ADC can be used.
Segmentation Techniques for Overlapped Latent Fingerprint Matching
Authors:   Assistant Professor, Department of CSE M.Kumarasamy college of Engineering, Deepak* K. , Thilagamani Dr.S. ,   Professor, Department of CSE M.Kumarasamy college of Engineering
Published: October 2019

Image processing is the technique used for analyzing the images by converting them into a digital form so that analysis on the images can be done for some purpose. Forensic department uses the images for identifying the suspects based on their biometric information. The biometric information can be anything such as, fingerprints, iris or may be heart beat. Fingerprint is one of the largely and widely used biometric in major areas. The fingerprint information collected at the crime scene is useful for identifying the victim who have been committed the crime. In case of the rolled or plain fingerprint, it is easy for the analyst to find out the one who is found guilty. But it is not the case in latent. The latent fingerprints are noisy, blurred and smudgy. For which the technique known as Descriptor Based Hough Transform is used. By using the minutiae information the fingerprint can be matched with the rolled or plain fingerprints and identified after fingerprints are segmented from the background.
Application of Water Quality Index (WQI) For Ground Water Quality Interpretation
Authors:   Department of Biochemistry, Government Arts College (Autonomous), Kumbakonam – 612 002, Tamilnadu, India., Suresh Kumar Mrs. Jeyalakshmi* , Manoharan Dr. Natesan ,   Department of Marine Science, Bharathidasan University, Tiruchirappalli – 620 024, Tamilnadu, India., Udayakumar Dr. Rajangam ,   Department of Biochemistry, Government Arts College (Autonomous), Kumbakonam – 612 002, Tamilnadu, India.
Published: October 2019

Water Quality Index (WQI) is a widely used technique in defining the quality of groundwater and finding whether it is advisable for human use. It is utmost necessary steps to understand the physical and chemical parameters defining the water quality for particular period and location using WQI calculation as it gives information in a single value. WQI has been calculated in twenty ground water samples collected from selected sampling stations at Madurai in the pre-monsoon, monsoon and post monsoon seasons. The water quality index values suggested that almost all the ground water samples were above 150, which indicated that they were unfit for drinking and one sample from Vilangudi had WQI less than 100 which indicated the water as poor category for drinking but could be used for irrigation purposes. The groundwater quality is also defined to be little better during post monsoon season in all the samples than during pre-monsoon and monsoon season.
APP for Optimizing Number of Trucks for Dispatching Operation of Concrete Plant
Authors:   Research Scholar, DYPIoT, Pimpri, Pune, Gaikwad* Mr. A. K. , Thakare Dr. S. B. ,   Professor and Guide,DYPIoT, Pimpri, Pune
Published: October 2019

Ready Mix Concrete (RMC) batch plant manager dispatches RMC trucks to different construction sites as per the demands and availability of RMC trucks at plant. To have maximum production and profit of the plant, generally more and more number of trucks are send to the sites with the thumb rules or logic of the batch plant manager, through his experience and depending on the capacity of the plant (CP). To avoid discontinuous (interrupted) RMC casting he requires sufficient number of RMC trucks at plant as well as at sites. This logic may be inefficient and might present the loss of profits. Also this may demands more number of trucks. In this research attempt is made to minimize the number of trucks along with reduction in waiting time of trucks by applying Genetic Algorithm (GA) optimization and simulation of operations through App. The flexibility has been given to the dispatching manager to make changes in the data parameters if required. A user-friendly App is developed in MATLAB environment to help the plant manager to decide dispatching schedule with less number of RMC trucks, compared with present industry logic.
Measuring Banking Service Quality among Public Sector Banks in Tiruchirrappli District
Authors:   Assistant Professor Department Of Business Administration Government Arts College Tiruchy, Jeyaraman* Mrs. Sujatha , Narsis Dr.I. ,   M.Com, M.Phil, Mba, M.A, M.Ed, Pgdca, Ph.D Assistant Professor & Research Advisor Pg & Research Department Of Commerce, Government Arts College, Tiruchy
Published: October 2019

Background: In a competitive environment all commercial banks retail services either Public sector banks or Private sector banks are required to offer almost same services. They want to attract a new customer and retain the old customer by the way of differentiate themselves in providing and performing the well know banking services to its customer. This research study has measuring the effectiveness of banking six service quality constructs among public sector banks. Objective: Based on the above background of the study, the research paper have an objective to measure the effectiveness of six banking service quality constructs among public sector banks. Methodology: This study was purposive to measure the effectiveness of banking service quality among public sector banks in urban area of Tiruchiraappalli district. The researcher has purposively select 292 bank customer as sample respondent of Public sector bank located in the urban area of Tiruchirappalli District. Results and Discussion: In Public sector bank, the tangible indicator namely “Comfortable lobby area and adequate parking space” and the tangible indicator namely “Availability large number of branches with internet banking facility” were influence the customer.
Procedures for Welding Techniques of Shipyard using Metal Inert Gas
Authors:   Architecture Department, Vocational School, Universitas Diponegoro, Semarang, 50275, Indonesia, Sugeng* Sunarso , Sulaiman  ,   Architecture Department, Vocational School, Universitas Diponegoro, Semarang, 50275, Indonesia, Ridwan Mohd ,   Architecture Department, Vocational School, Universitas Diponegoro, Semarang, 50275, Indonesia, U. Naigolan Tumpal Ardyan ,   Architecture Department, Vocational School, Universitas Diponegoro, Semarang, 50275, Indonesia
Published: October 2019

The main objective of this research is to find a combination of large currents and welding speeds, to obtain optimal welding results with metal inert gas (MIG) technique. This research will conduct procedures of experimental observations of welding with variable current and speed on MIG (metal inert gas) welding, using currents ranging from 50 to 200 amperes, 1G welding position, with welding speeds ranging from very slow to very fast, it is expected to be obtained optimal welding results. Metal Inert Gas (MIG), first used in welding aluminum plates. Arc and welding wires use electrode wires that are protected by helium gas, argon gas and for carbon steel materials using CO² gas. MIG is an alternative to using the MMA method, offering high deposition rates and high productivity. MIG is widely used especially for welding high quality steels such as stainless steel, strong steel and non-steel metals which cannot be welded in other ways.
Bond Graph Modelling and Simulation of Buck ZCS Quasiresonant DC-DC Power Converter
Authors:   Research Scholar, Department of Electrical Engineering, Jawaharlal Nehru Technological University, Anantpur, India., Vali* Shaik Hussain , Vulasala Ganesh ,   EEE department, JNTUA College of Engineering, Pulivendula, India.
Published: October 2019

Paper Zero current switching (ZCS) is one of the two resonant topologies in which the switching takes place while the current through the switch is zero. The focus of this work is on modeling a Buck Zero current switching (ZCS) Quasiresonant DC-to-DC converter using a domain independent modeling approach which is bond graph modeling approach. Development of the large signal model, steady state model and small signal AC bond graph models of the converter will be presented. Further the models are simulated in MATLAB/SIMULINK and the obtained results are verified with the results obtained by direct simulation of the converter in PSIM.
Smart Classifiers Based Classification and Condition Monitoring of Induction Motor Faults
Authors:   EEE Department, National Institute of Technology Delhi, Delhi, India., Chikkam* Srinivas , Singh Sachin ,   EEE Department, National Institute of Technology Delhi, Delhi, India., Jigyasu Rajvardhan ,   EEE Department, National Institute of Technology Delhi, Delhi, India., Sharma Amandeep ,   EE Department , National Institute of Technical Teacher Training and Research, Chandigarh, India,
Published: October 2019

With the advancements in the field of automation in the industries the use of machines is very high and if the machine which require some rotatory action for the load, the Induction motor comes in to play because of the advantages such as robustness, low maintenance, low cost etc. But with the increase in the dependency over the motors it becomes highly recommended to have machines with reliability because break in the work can lead to huge amount of loss. In order to increase the reliability of the motors predictive maintenance comes into play which requires fault classification or detection which is easily and accurately possible using the Machine Learning algorithms. With the requirements of the present scenario for predictive maintenance, this paper presents the fault classification of induction motor using Support Vector Machine SVM) and K- Nearest Neighbour (KNN) technique of classification. Here in this paper the bearing fault (BF) and broken rotor bar (BRB) fault is considered. The results collected are on the basis of validation and Principle Component Analysis (PCA) technique. And it is found that the SVM technique is better than the KNN for fault classification of Induction motor.
A Technology on Credit Score System - Assessing Public Perception in Bengaluru City
Authors:   Assistant Professor, Department of Commerce and Management, St. Joseph’s College (Autonomous), Langford Road, Bengaluru, Karnataka, India., Kumar* Dr. A. Senthil , Ramesh Dr. S. ,   Associate Professor, Department of Commerce, Jain (Deemed-to-be) University, Jayanagar 9th Block, Bengaluru, Karnataka, India., S. Mr. Rahul ,   student studying in the Department of Commerce and Management (UG), St. Joseph’s College (Autonomous), Bengaluru, Karnataka, India.
Published: October 2019

A credit score numerical expression based on a level analysis of a person's credit files, to represent the solvency position of an individual. It is primarily based on a credit report, information usually sourced from credit bureaus. The present study was conducted with the aim of studying the system of credit score, assessing the level of awareness and knowledge of public on credit scoring system. Further it also examined the effect of demographic variables on awareness and knowledge level of public on credit score system. Data was collected through a well-defined questionnaire from 237 respondents in Bengaluru city of Karnataka state. The data was collected during June-July 2019 by employing convenience sampling and snowball sampling methods. Bengaluru city was chosen as the study area because there are lot of different types of individuals been setup over there like businessmen, industrialists, IT employees, salaried individuals etc. In order to achieve the objectives of the study, the statistical tools chi-square analysis and correspondence analysis were used. The statistical software SPSS version 22 was used for data analysis. The study found that that the demographic variables such as gender and number of dependents were significantly associated with level of knowledge on credit scoring system.
A Fast-Efficient Multi Class Pattern Recognition Method
Authors:   Department of Electronic Engineer, Bharat Sanchar Nigam Limited, Government of India., M M.Sc.* Rasiq S. , Krishnakumar S. ,   School of Technology and Applied Sciences (STAS), MG University Research Centre, Kochi-24, India.
Published: October 2019

This work presents a novel method for multi class pattern recognition. The feature space is classified with minimum hardware complexity and maximum speed using straight lines, circles, parabolas etc. RK algorithm-based devices (RKD) and mathematical functional blocks classify the feature space very rapidly after learning pattern classification with a fewer numbers of training sets compared to other statistical and artificial neural network (ANN) methods. RKDs are self-learning and fast responding devices and which manipulate a single variable at a time. The RK algorithm is used for learning the range of a variable. A set of sample variable and their corresponding responds are given for learning. The mathematical functional blocks manipulate one or more variables or attributes to perform mathematical functions and the outputs of these blocks are fed to RKDs. Finally, the RKDs perform the classification functions. The classification using straight lines or curves depends upon the mathematical functional block.
The Effect of Best First Search Optimization on Credit Card Fraudulent Transaction Detection
Authors:   department of computer science, university of institute of technology Rajiv Gandhi proudyogiki vishwavidyalaya , Bhopal, India., Sahu* Sapna , agarawal Dr shikha ,   department of computer science, university of institute of technology Rajiv Gandhi proudyogiki vishwavidyalaya , Bhopal, India., Baraskar Dr. Raju ,   department of computer science, university of institute of technology Rajiv Gandhi proudyogiki vishwavidyalaya , Bhopal, India.
Published: October 2019

In the digital world, Recently growth of online shopping site for purchasing clothes, electronic items, glossary etc and online transaction for transfer money is increasing day by day . At the same time, criminals have become able to doing fault and earning money through wrong ways .that’s why fraud grows. With the development of Machine Learning in the field of Computer Science and Engineering, its application in the different domain also in fields like Medical, Marketing, Telecommunication, finance, etc. The reason for the popularity of Machine Learning in these domains is due to its high accuracy prediction. That’s why over many years, machine learning has been used in fraud detection. With the advancement of technology in online transactions, fraud is the greatest issue for businesses and has become difficult to recognize than the traditional form of this crime. Historically, the area of Fraud Detection is interrelated to Data Mining & Text Mining. Due to the sudden growth of fraud whose outcome is loss of trillions of rupees worldwide every year, various modern techniques in detecting fraud were proposed that are progressed without interruption and applied to many business fields. Bank frauds worth ₹2.05 trillion happened in the last 11 years, among which there were overall 53,334 fraud issues in the usage of RBI data. The principle purpose behind this write up is to review different methods in identifying frauds corresponding to the unusualness in the transactions. The supervised and unsupervised machine learning algorithms will be used to identify fraud and the best first search optimization will be analyzed to compare both results, i.e., before and after optimization.
Robo Car for Military Application
Authors:   Dept. of Electronics and Communication CMR Institute of Technology Bangalore,, Suresh* Gitanjali , Poddar Nidhi ,   Dept. of Electronics and Communication CMR Institute of Technology Bangalore, India, M Lavanya ,   Dept. of Electronics and CommunicationCMR Institute of Technology Bangalore, India, S Suganya ,   Dept. of Electronics and Communication CMR Institute of Technology Bangalore, India, K Venkateswaran ,   Dept. of Electronics and Communication CMR Institute of Technology Bangalore,
Published: October 2019

Military and battlefield applications are in an accelerated pace due to its demand fueled by government investment. In this paper a modern approach is presented for surveillance at border and remote areas using multifunctional robot based on Bluetooth technology and ARM Cortex M4. It will control both an autonomous and manually controlled robots using wireless technologies. The applications of this multisensory robot is used to detect human, bombs and metallic weapons at remote and war field areas and share the live feed and the location to the operator. Instead of having people get close to hazards such as unattended objects robots are used. An autonomous operation is performed to control using ultrasonic sensor acting as an obstacle detector. In this paper the robotic vehicle is designed for reconnaissance as well as surveillance under certain circumstances. The use of ARM Cortex M4 as the main controller helps in tight integration of system peripherals thereby reducing area and development costs in comparison with existing conventional wireless security robots.
Government Open Data Portals: A Measurement of Data Veracity Coverage
Authors:   Sabri, Computational Intelligence Technologies (CIT), Center of Advanced Computing Technologies (CACT), Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia (UTeM), 76100 Durian Tunggal, Melaka, Malaysia, M.* Nor A. , Emran Nurul A. ,   Computational Intelligence Technologies (CIT), Center of Advanced Computing Technologies (CACT), Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia (UTeM), 76100 Durian Tunggal, Melaka, Malaysia, Harum Norharyati ,   Information Security Forensics and Computer Networking (INFORSNET), Center of Advanced Computing Technologies (CACT), Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia (UTeM), 76100 Durian Tunggal, Melaka, Malaysia.
Published: October 2019

Open data initiative has been adopted by many countries worldwide due to the need for establishing agile open government and knowledge-based economy. As a result, we can witness an increasing amount of government open data shared on public government's portals that become sources of rich big data. While this scenario provides data transparency and eases accessibility for public data consumers, the quality aspect, or the veracity property (as commonly coined to big data) of open data is the topic of concerned. Not only poor quality data causes misleading results, the reputation of the government as an open data provider can also be negatively affected. Thus, to understand how the government's portals deal with the veracity aspect of their data, in this paper, we present the results of examining quality criteria imposed by selected government's data portals for their data contributors. In particular, we extract quality criteria from the open data policy of the government's data portals under study. The result shows that out of 108 portals, only 27% of the portals explicitly state their quality criteria in the policy, with varying coverage of quality criteria. The frequency of the identified 15 quality criteria shows the types of quality criteria that receive more (and less) attention by the open data portals based on their relative importance. We conclude with suggestions on the areas of further research and development in the government's open data.
Experimental Exploration on Influences of Nozzle to Plate Spacing on Cooling Performances using Impinging Water Jets
Authors:   Department of Production Engineering, Veer Surendra Sai University of Technology, Burla., Kund* N. K.
Published: October 2019

Arduous experimentations remain accomplished for exploring effects of nozzle to plate spacing on heat dispersal over flat plate concerning constant thermal value 6 W/cm2. This paper presents the experimental studies on cooling behavior with water jet impingement. Several influencing parameters pertaining to cooling behaviors of striking jets got recognized for investigating impacts over heat transfer characteristics. The parameters taken into account are nozzle diameter (3, 4, 5 and 6 mm), Reynolds number (800, 1600, 2400 and 3200), nozzle to plate spacing (20, 25, 30 and 35 mm) and jet inclination (30⁰, 45⁰, 60⁰, 75⁰ and 90⁰). Additionally, the studies are limited to a constant heat flux situation. The chary interpretations of results tell that performance remains boosted with regard to these key parameters. However, for current experimental settings, nozzle to plate spacing of 25 mm delivers enough thermal credentials and is the exceptionally supreme.
Experimental Examination on Impacts of Jet Inclination on Cooling Performances using Striking Water Jets
Authors:   Department of Production Engineering, Veer Surendra Sai University of Technology, Burla., Kund* N. K.
Published: October 2019

Onerous experimentations stay continued for examining influences of jet inclination on heat dispersal over flat plate concerning constant thermal value 6 W/cm2. This paper presents the experimental studies on cooling behavior with water jet impingement. Several influencing parameters pertaining to cooling behaviors of striking jets got recognized for investigating impacts over heat transfer characteristics. The parameters taken into account are nozzle diameter (3, 4, 5 and 6 mm), Reynolds number (800, 1600, 2400 and 3200), nozzle to plate spacing (20, 25, 30 and 35 mm) and jet inclination (30⁰, 45⁰, 60⁰, 75⁰ and 90⁰). Additionally, the studies are limited to a constant heat flux situation. The chary interpretations of results tell that performance remains boosted with regard to these key parameters. However, for present experimental settings, jet inclination of 60⁰ brings plenty cooling badges and is remarkably ultimate.