bluuebunny/crossref_metadata_2025 huggingface dataset:
A Simplified Rainfall-Streamflow Network Model on Multivariate Regression Analysis for Water Level Forecasting in Klong Luang (KGT.19 Station) Sub-watershed, Chon Buri Province, Thailand
Authors: Panant Charoen , Boonyawat Samakkee
Published: August 2019

A simplifiedrainfall-streamflownetwork model based on multivariate linear regression (MLR) analysishas been proposed. To determine significant coefficients of streamflow network, eleven MLR models were examined. The study’s three objectives were 1) to develop a novel a mathematical model based on MLR analysis for forecasting optimal water levels;2) to determine the most significant coefficient of rainfall-streamflow network among in the area of interest in the vicinity of Klong Luang sub-watershedKGT.19 station; and3) to apply the optimal MLR model forwater level andflood forecasting mapsin Klong Luang Sub-watershed. We used Geographic Information System (GIS) and Remotely Sensed Data (RS) data recorded from Klong Luang (KGT.19 Station) sub-watershed, and Phanat Nikhom, Chonburi, Ban Bueng and Phan Thong districts, in Chonburi Province, Thailand.The findings indicated that the MLR based Model No. 8 is the most applicable and effective. The proposed model also could be applied in water level forecasting, water resource management, flood hazard planning, and flood early warning.
Teak Log Coffins in Northwest Thailand: Dated by Dendrochronology and 14Cwiggle Matching
Authors: Pumijumnong Nathsuda , Wannasri Sineenart
Published: August 2019

Log coffins have been discovered in caves and rockshelters in the Pang Ma Pha district, Mae Hong Son province, Northwestern Thailand. Most are made of teak wood. Many researchers have used the 14C method to determine their age. However, 14C cannot provide as precise a ca-lendar age as dendrochronology. In this paper, we therefore applied dendrochronology analysis to a number of teak log coffins at the Ban Rai Rockshelter to establish a floating chronology and to cross-date the coffins relative to each other. Then, wiggle matching was used for one log cof-fin to derive an approximate but absolute calendar age. The findings indicated that cutting of this teak tree occurred around AD 265. The analyses also revealed a close association between coffins of the same head style.
Visualization and Interpretation of PM10 Monitoring Data Related to Causes of Haze Episodes in Northern Thailand
Authors: Sooktawee Sirapong , Humphries Usa , Patpai Aduldech , Kongsong Rungrawee , Boonyapitak Suteera , Piemyai Nirun
Published: August 2019

Monitoring of ambient air quality yields data typically presented as time series plots, tables of summarized statistical values, or other representations. This paper presents an alternative way to visualizing air quality monitoring data by presenting concentrations in the form of a calendar, offering a familiar way for reader to identify air quality trends on various time scales(daily, weekly, or monthly). One of the major air pollution problems in the northern part of Thailand is haze, which is related tothe concentration of airborne particulates less than 10 microns in size (PM10). This paper presents calendars of PM10 concentrations monitored by the Pollution Control Department across northern Thailand. Hourly mean PM10 concen-trationsmonitored at 13 stations were used to construct PM10 concentration calendars for each station. Haze episodes are clearly identifiable in the visualization; the calendar also allows easy comparison of PM10 levels between years. We also observed the absenceof any haze episodes in 2011, and propose possible related factors.
Potential of Producing Refuse Derived Fuel (RDF) from Municipal Solid Waste at Rajamangala University of Technology Isan Surin Campus
Authors: Weerasak Tiammanee , Sanongraj Sompop
Published: August 2019

The objective of this study is to explore the potential of producing energy from open-dump solidwaste from Rajamangala University of Technology Isan Surin Campus. Heating value as well as thephysical and chemical compositions were analyzed. The composition and heating value were comparedto refuse-derived fuel quality standard. All waste samples were separated into combustible and non-com-bustible matter. Paper, plastic, food residue, textiles, rubber and leather were classified as combustible. In excess of ninety-nine (99%) of open dump waste consisted of combustible matteras follows: mixed plastic (45%), textile (19%), food residue (18%), paper (14%), and leather and rubber (3%). Non-combustible composted inert material consisted of only 1% of the open-dump solid waste. Moisture and total solid contents of open-dump solid waste were 51.6% and 48.4% (wet basis) respectively. Volatile matterand ash contents of those were 95.14% and 4.37% (dry basis) respectively. The heating value of the open-dump solid waste was 29 MJ kg-1, which is higher than the refusederived fuel quality standard and re-sults reported in earlier studies [8,10,14]. This indicated the potential of open-dump solid waste to produce refuse-derived fuel (RDF). Therefore, it is possible that energyrecovery through RDF production can be an effective waste management option for Rajamangala University of Technology Isan,Surin Campus. Further study should focus on production of RDF in terms of moisture content removal and compositions of RDF. Furthermore, characteristics of RDF should be determined to explore alter-native sources of renewable energy.
Air Quality Monitoring around the Developed Area of Chulalongkorn University in Kaeng Khoi District, Saraburi Province
Authors: Intarasunti Surawit , Sampanpanish Pantawat
Published: August 2019

The construction project for the developed area in Kaeng Khoi District, Saraburi Province, Thailand, drafted by Chulalongkorn University has raised various concerns over environmental impacts, particularly relating to public health and air quality. In order to investigate impacts of this project, air quality sampling was conducted in Tan Diew Sub-district, Huai Haeng Sub-district, Cham Pak Paew Sub-district and some surrounding sites of Chulalongkorn developed area by gravimetric method using a high volume air sampling machine. Two types of particulate matter including total suspended particulate matter (TSP) and particulate matter < 10 μm (PM10) were continuously monitored during all 3 seasons for a study period of 3 years in order to compare the effect of seasonal variation on the amount of particulate matter generated in each study area, to study the correlation between TSP and PM10, and finally to identify other causal factors related to particulate levels. Results from this study indicated that TSP and PM10 both reached the highest in winter followed by summer and appeared to be at the lowest level during the rainy season. In addition, causal factors such as wind direction and human activities also influenced particulate levels in each study area.
Carbamate and Organophosphate Contamination in Soil, Rice, and Water Samples from Rice Paddy Fields in Nakhon Nayok Province
Authors: Thummajitsakul Sirikul , Praditpol Hathaichanok , Poolaoi Julaluck , Silprasit Kun
Published: August 2019

This study purposes to determine pesticides of carbamate and organophosphate group foundin soil, rice, and water samples from rice paddy fields in Village number (Moo) 4, Banpraw Sub-district, Banna District in Nakhon Nayok Province. The sampling sites were selected in 27 agri- cultural areas using Global Positioning System (GPS). It was found that 42.3 % of all surveyed farmers had used pesticides in their rice paddy fields between June 2014 to January 2015. Moreover, the soil ( =27), water (n=10) and rice (n=27) samples were tested using a GT test kit. This study reports that 77.78 %, 85.18 % and 70 % of soil, rice and water samples respectively were contaminated with carbamate and organophosphate pesticides. It demonstrated that more than 60 % of the collected samples were contaminated with the pesticides, at the significance level of (p = 0.001). Herbicides were most frequently used (62.20 %), followed by insecticides (26.83 %) and chemical control of plant diseases (10.98 %). Organophosphate group was an in-secticide that mostly used up to 50 % of the total used. Therefore, the obtained data may be further applied to improve the natural environment and to programs for health promotion of farmers.
The Analysis of Garbage Management Tools Based on the Levels of Transactional Collaboration between Shipping Company and Seaport
Authors: Senarak Chalermpong , Suthiwartnarueput Kamonchanok , Pornchaiwiseskul Pongsa
Published: August 2019

Marine garbage reception facilities can effectively prevent marine pollution when adequately implemented together with other management tools. This paper analyzes the garbage manage-mentpolicy based on transactions between shipping companies and the seaport. Multivariate analysis of variance (MANOVA) was used to scrutinize the influence of transactional colla-boration (independent variable) on the different reasons for using GRF of the shipping firms (dependent variable). The study indicates that the motivations of ship operators (identified as laws and regulations, navigation limitations, partnerships, competitiveness and environmentalconsciousness), varies depending on frequency of transaction during the year. Management po-licies varied by ship operator. In addition, an over-optimistic perception of the state of the marineenvironment appears to prevail among shipping companies. Nevertheless, the majority of respon-dents reported concerns over the dangers of ship-generated garbage to the environment as well as marine wildlife. This study highlights the need for technical cooperation and greater exchange of knowledge among port authorities, shipping firms and other environmental related institutes.
Loss of Value in House Properties due to Air Pollution in Map Ta Phut Industrial Area of Thailand
Authors: Boonyanam Nararuk
Published: August 2019

Air pollution in the Map Ta Phut Industrial Estate in Thailand, has caused increasing risk of death, injury and health problems for local residents. Existing control measures are inef-fective due to weak law enforcement. Although the problem has drawn a lot of attention, the monetary value of the impacts of air pollution in Map Ta Phut is not known. The objective of this paper was to estimate the economic cost of air pollution damage in Map Ta Phut using theHedonic Pricing Method, with 192 house samples. The results showed that the marginal willing-ness to pay (MWTP) for a one unit reduction of AQI level was THB 2,815 or around USD 80, or each unit increase in air pollution would result in an estimated loss of THB 2,815 or around USD 80 in house price. The total value of losses to housing from one unit of air pollution in MapTa Phut which is comprise of 38 communities was THB 119.3 million (about USD 3.4 million).Detection of the loss of value has implications for local residents, housing development in-vestors, factories, and government and environmental institutions to manage air pollution as their top priority as well as to evaluate the efficiencyof existing measures and budget to deal with the problem more appropriately.
Isotope Evidence of Rainfall and Groundwater for Tracing Recharge Areas in Kaeng Khoi District, Saraburi Province, Thailand
Authors: Wisittammasri Wanlapa , Chotpantarat Srilert
Published: August 2019

This study was conducted in the districts of Kaeng Khoi and Muang, located in the center of Saraburiprovince, Central Thailand. The purpose was to use a stable isotope technique to iden-tify recharge areas where rainfall infiltrates. Analysis of stable isotopes in groundwater, surface water and rainwater were conducted in September 2014. Isotope compositions of groundwater were found to have δD values that ranged from -37.55‰ to -48.04‰ while δ18O values ranged from -5.30‰ to -7.34‰. The Local Meteoric Water Line (LMWL) in the study area was indis-tinguishablefrom the Bangkok Local Meteoric Water Line (BKK LMWL), and the stable iso-tope values of rainwater in area were more depleted than BKK LMWL. The isotope compo-sitions of surface water revealed that the effect of evaporation could divide the groundwater into two groups, with the first group locally receiving rainfall and the second group interacting directly with surface water. Therefore, care must be taken to prevent groundwater contamination in the latter group due to polluted surface water caused by human activities.
Biosand Filter (BSF): Types and Mechanisms behind Its Efficiency
Authors: Janjaroen Dao
Published: August 2019

More than 760 million people around the world lack access to clean drinking water. A biosand filter was developed through the collaboration of research groups in developing and developed countries. This type of filter is considered a point-of-use filtration system that can be easily in-stalled at home, and has shown promising results. Thousands of these filters have been distributed and are currently in use in developing countries around the world, helping to alleviate poor water quality conditions. Although these filters have been proven to improve water quality in terms of biological contaminants, there are still concerns over their ability to remove heavy metal conta-minants. This review will outline basic and current research that may pave the way for BSF improvement in terms of heavy metal removal from groundwater.
Assessment of Water Usage and Water Management in Mae Fah Luang University
Authors: Suma Yanasinee , Pasukphun Nittaya , Hongthong Anuttara , Keawdounglek Vivat
Published: August 2019

A university may be compared by its size of population and activities to a small city, with high water consumption and in need of effective water conservation strategies. This study presents the results of a study of water consumption on the Mae Fah Luang University campus in Chiang Rai, Thailand. Consumption was classified by activity type, water usage and water saving behavior of students and staff. The results suggest strategies for water conservation on campus. With a water conservation plan focusing on residential areas (halls and homes), which accounted for the highest levels of consumption on the campus. The study also identified activities where water-use behavior was wasteful; hence, we propose practical strategies to reduce the university’s water use by a) raising awareness of the costs of wasting water; b) education to improve knowledge, attitude, and behavior in regard to water conservation, with examples of good practice.
Land–Water–Population Model: Developing an Agricultural Resources Management in the Upper Part of Pranburi Watershed
Authors: Thungngern Jirattinart , Sriburi Thavivongse , Wijitkosum Saowanee
Published: August 2019

This research proposes the application of the Land-Water-Population (LWPM) concept in the upper part of the Pranburi Watershed. The objective of the study is to develop a model for agricultural resources management under the Sufficiency Economy Philosophy (SEP). The methodology is divided into three parts; 1) evaluate the soil quality in agricultural areas, 2) analyze water quality in agricultural land; and 3) assess farmer practice in agricultural resources management using a questionnaire. The study findings point to problems in soil and water conservation, suggesting that in the area should prioritize agricultural management, as advocated under the SEP, which provides guidelines for practicing agriculture under the New Theory on land and water management. Adoption of this model under the SEP will facilitate integrated natural resource management and sustainable agriculture by stakeholder participation at community level.
Mineralogical and Chemical Characteristics of Gossan Waste Rocks from a Gold Mine in Northeastern Thailand
Authors: Assawincharoenkij Thitiphan , Hauzenberger Christoph , Sutthirat Chakkaphan
Published: August 2019

The mineralogical and chemical compositions of various ocher gossans from a gold mine in northeastern Thailand were investigated, including some heavy metals and other toxic elements. Mineralogical characteristics were carried out using X-Ray Diffractometer (XRD) and Scanning Electron Microscope (SEM) whereas chemical compositions were analyzed using Electron Probe Micro-Analyzer (EPMA). These ocher gossans can be classified, initially based on Munsell color, into five types: type-I (pale-yellow color), type-II (brownish-yellow color), type-III (yellowish-brown color), type-IV (dusky-red color) and type-V (red color). The primary silicate minerals (i.e., quartz, garnet epidote and amphibole) are found in type -I, -II, -III and -IV. They appear to be composed of skarn rock. On the other hand, the secondary minerals (i.e., goethite, jarosite, ankerite, montmorillonite, magnetite, gypsum and secondary quartz) are observed in types-II, -III, -IV and -V. As and Cu are found crucially in types-III, -IV and -V in which both elements can be adsorbed by goethite and/or jarosite. As the result, the gossan rocks in this area are natural adsorbents with high potential to reduce As and Cu contamination into the ecosystem. Therefore, the gossan, a natural attenuation material, is recommended for site remediation because of its low cost and local abundance. Feasibility studies should be conducted to further investigate the potential.
Bioaccumulation of Heavy Metals using Selected Organisms Isolated from Electronic Waste Dumpsite of two South-Western States in Nigeria
Authors: Aderonke Akintokun K. , Oladimeji Onatunde O. , Shittu Olufunke B. , Okeyode Itunu C. , Taiwo Michael O.
Published: August 2019

Heavy metals from electronic wastes can accumulate to alarming concentrations in soils, causing significant detrimental impacts on human life and the environment. Bioaccumulation of heavy metals by bacteria and fungi has been a major focus of most bioremediation studies owing to the excellent metal-binding properties. The current study was conducted to isolate the most promising Zn, Cu and Pb tolerant microorganisms from contaminated soils, and to assess their metal accumulating abilities. Bacillus licheniformis, B. polymyxa, Pseudomonas aeruginosa, Micrococcus roseus, Aspergillus niger and A. flavus were selected for the bioaccumulation study, based on their known tolerance to heavy metals. Bacillus licheniformis was most efficient in the removal of Cu (71.3 %) and Pb (70.1 %). Pb accumulation for Aspergillus flavus was 65.76 %. Zn accumulation for Pseudomonas aeruginosa and Aspergillus niger were 74.1 % and 78.3 %, respectively. This study concluded that all these microorganisms have potential for bioremediating soil environments contaminated with heavy metals.
A GIS Model for PM10 Exposure from Biomass Burning in the North of Thailand
Authors: Mitmark Borworn , Jinsart Wanida
Published: August 2019

Human exposure to particulate matter with an aerodynamic diameter below 10 μm (PM10) is found to be associated with biomass burning in Thailand. Recent investigations confirm that primary sources of PM10 are natural forest fires and agricultural waste burning. Incidence of atmospheric haze increases significantly during the dry season from January to April. PM10 exposure in eight provinces in Northern Thailand were determined using GIS through spatial interpolation. Daily average ambient PM10 concentrations from 10 monitoring stations were used as the input data for the GIS model. Three interpolation techniques: Inverse Distance Weighted (IDW), Kriging and Spline, were compared. The predicted PM10concentrations were verified with field measurements. GIS-based maps illustrated the variability of PM10 distribution and high-risk locations, which were found to be associated with wind direction and forest fire frequencies. Mae Hong Son, Chiang Rai and Phrae were found to be at highest risk of PM10 exposure during the dry season.
Impact of Propolis Extract as Foliar Spray On Growth, Yield and Some Chemical Composition of Spinach (Spinacia Oleracea L.) Plants Grown Under Calcareous Saline Soil
Authors: Seif El-Yazal Mohamed A.
Published: August 2019

This experiment was suggested to study the beneficial effects of foliar application with propolis extract at the rates 0, 6000, 7000, 8000 and 9000 mg/L solution used as foliar application to spinach seedlings on growth, yield and some chemical constituents of spinach plants (Spinacia oleracea L.) grown under calcareous saline soil conditions. All experiments were achieved during the two successive seasons of 2016 and 2017. Results showed that increasing the rates of propolis extract as foliar application increased the growth parameters of the treated plants. The best result was obtained by the rate (8000 mg/L) as a foliar application in both seasons of the study. The same trend was also observed regarding all studied chemical constituents, i.e. chlorophyll a, b and total carotenoids concentration, anthocyanine, total carbohydrates, total and reducing sugars, total free amino acid, free proline, crude protein, total indoles, total phenols, N, P and K in leaves. Thus, the coincident application of propolis extract at (8000 mg/L) as foliar application ingredient is recommended for improving growth, yield and chemical composition of spinach plants and for overcoming the adverse effect of saline conditions.
The Significance of Teaching and Values of Education
Authors: Horvatincic Oliver
Published: August 2019

Belief is an abstract concept of the human mind. Trust gives birth to faith. Belief is the origin of the person's mental organization. Faith plays a special role in managing the person's life and attitude. The structure of values developed on the basis of faith. People manage life on the basis of their faith. Every aspect of life will reflect the belief that the values apply.
The Overall Goal of Education and General Purpose
Authors: Vuckovic Tomislav
Published: August 2019

His physical mental moral and social development through creative development of the person's innate ability and qualities. To give the student the opportunity to develop according to his own talent and tendency and to nurture his creativity. Making skilled, productive and manpower necessary for the socioeconomic development and progress of the country by applying education. To help the student acquire the necessary qualifications and skills in order to earn a living according to his talents and trends. To inspire the student in the open expression of basic thought and to develop liberal thinking and life-oriented, objective and positive outlook in the society.
Trafficking of Women and Children through the Abandonment of Human Rights in Bangladesh
Authors: Hasan Redwan
Published: August 2019

The study explores that Govt. and NGOs are directly involved in prevention activities. They do conduct prevention activities like mass-awareness raising, capacity building and income generating activities and so on. These activities definitely have impact on the society which is reflected in people’s growing concern about trafficking and in number of trafficking which if not reduced has not increased noticeably; though the impact is very low in comparison to urgency. Besides, it cannot be said that whatever achieved is possible only because of Govt. NGO and International Organization activities. They have to be appreciated for their pioneer role in anti-trafficking issue but the study reveals that effectiveness of their prevention activities is hampered by acute presence of push factors of trafficking, lack of collaboration, weak policy and legal framework and their own inefficiency. If comprehensive work plan and policy is taken Women and Children may get rid of the nightmare of trafficking.
Rohingya Refugees Crisis between Bangladesh and Myanmar: Search for Permanent Solutions
Authors: Asiquzzaman Md.
Published: August 2019

Bangladesh is an occupied population of South Asia. India and Myanmar share the border with the neighboring states of Bangladesh. After independence in 1971, Muslims started experiencing continuous refugee flights of Muslim Rohingyas in Myanmar for fear of religious and ethnic violence. Bangladesh mostly welcomed them and provided protection under their free will, although refugees do not have any statutory legislation. No solution was found till 2013, and the number of refugee flights increased steadily. Rohingya refugees are destroying Bangladesh's reputation in international drafting and committing various offenses against fake Bangladeshi passports. Bangladesh is a contender on refugee issues: Firstly, the issue of human rights and secondly the national security problem. I have a positive and reactionary opinion that it is the right time to make Bangladesh a rigid domestic law for infiltrating Rohingyas from Myanmar.
Mechanical Properties of Fabricated CFRP with Filler
Authors:   Ph.D in Mechanical Engineering, Jadavpur University, Kolkata, India, Jena Dr. Pankaj Charan
Published: August 2019

In this paper fabrication of carbon fiber-based hybrid composite was carried using graphene and industrial waste (Fly-ash) as filler material in different percentages. Fly-ash was chosen as it is a major industrial waste. The graphene possesses various functional properties that made good interfaces with epoxy and carbon fibers. Fillers (graphene and fly ash) are considered to improve the reinforced strength, surfacing characteristics, toughness of the reinforced composite plate like structure. Properties like compressive strength, tensile strength, hardness and impact strength of carbon fiber reinforced polymer (CFRP) with fillers are tested. The change in the properties of CFRP composites attributable to mechanical interlocking of graphene and fly-ash with epoxy and fiber was observed.
Modeling & Simulation of AC Electric Drive System to Cruise the Vehicle to the Prescribed Speed
Authors:   Research Scholar, Dept. of Electrical and Electronics Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, India., Shreasth  , Singh Dr. Bhupal ,   H.O.D , Dept of Electrical and Electronics Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, India.
Published: August 2019

Now a days about 90% of the loads are dynamic in nature, where loads are to be operate at different speed for different uses. In this paper, we are analyzing the design and structures of the control system for electric drive equipped with the permanent magnet synchronous motor (PMSM) in the automotive application. In this study, a simulation model of full electric vehicle on the MATLAB-SIMULINK platform is simulated, and components of electric vehicles were discussed. The drive train system components consist of a motor, battery, motor controller, inverter and vehicle interface are modeled according to their mathematical equations.
Job Satisfaction and Employee Engagement Contemporary Tools to Eliminate Stress Among work Force in an Organization
Authors:   Research Scholar (Part-Time), Rayalaseema University, Kurnool-518007, Andhra Pradesh., Shehanaz* Shazia , Mazeed Shaik Abdul ,   Research Scholar (Part-Time), Yogi Vemana University, YSR Kadapa-516005, Andhra Pradesh., Rachapudy Ravi ,   Associate Professor, Dr. K. V. Subba Reddy School of Business Management, Kurnool-518218, Andhra Pradesh., Kalyan A. Suman ,   Research Scholar (Part-Time), Sri Krishna Devaraya University, Ananthapuramu-515003. Andhra Pradesh Associate Professor, Dr. K. V. Subba Reddy Institute of Management, Kurnool-518218, Andhra Pradesh, Sreedhar J. ,   Associate Professor, Dr. K. V. Subba Reddy Institute of Management, Kurnool-518218, Andhra Pradesh
Published: August 2019

Stress is a not a new word to the organizations. It is been a boiling subject from years ago as it is spread across the globe. To evade this, organizations tries to improve their employee’s satisfaction levels at job, so that a positive attitude can be inculcated among workforce. The other tool to abstain from mocking execution and deriding performance of an organization is employee’s engagement. It is a key which prompts hierarchical achievement and furthermore a fundamental factor to be considered while assessing stress. Stress cannot be eliminated from any organization but can be handled with utmost care to get good results. If stress is not managed well, it generates a negative behavior in workforce which destroys the end results or an organization fails to achieve its goals. If it continues for a long period of time, the result could be closure of an organization because over stress will reduce the employee performance. This research paper is expected to comprehend the reasons which lead to employee stress inside an organization, to discuss the variables which robustly correlate with stress level of employees and also to suggest the mechanism to overcome stress.
Identification and Diagnosis of Fault in Consistent Mixed Tank Reactor using Neural System
Authors:   Department of EIE, M.Kumarasamy College of Engineering, Karur, India., Gowthami* R. , Aravindaguru  ,   Department of EIE, M.Kumarasamy College of Engineering, Karur, India., Hari V.M. ,   Test Analyst, IBM, Bangalore, India.
Published: August 2019

The Consistent Mixed Tank Reactor is widely used in chemical processing plants, food processing industries and in pharmaceutical industries. The Consistent Mixed Tank Reactor is a nonlinear process. If any of inputs to the process or any parameters in the process gets changed means the entire working of the plant gets changed. And also it leads to decrease the accuracy of the final or end product. So, to get required end result the accuracy developed in the Consistent Mixed Tank Reactor process where the tank is in running condition need to be identified and necessary steps should be taken to avoid those fault. There are several fault diagnosis methods available. Among those techniques, the Neural System Prescient Controller can be utilized to identify and diagnose the error present inside Consistent Mixed Tank Reactor tank. From the Neural System Prescient Controller, the servo response is obtained to understand clearly about the behavior of the Consistent Mixed Tank Reactor tank process. Thus, by selecting suitable controlling techniques the accuracy of the desired product can be obtained in Consistent Mixed Tank Reactor tank.
Assessment And Feasibility Analysis Of Off-Grid Solar PV- Pico Hydro Hybrid System
Authors:   Asst. Professor in EE Department, GIET University, Gunupur, India., Singh Tapas Chhual , Prasad G R K D Satya ,   Department of EEE, GIET University, Gunupur , India., Babu Sai ,   Ch. Professor in EEE Department, JNTUK, Kakinada, India, Rath Kali Charan ,   Professor , Department of Mechanical Engineering, GIET University, Gunupur, India.
Published: August 2019

As hydropower is one of the commonly available renewable energy sources, so it is experiencing a development in the large part of the world. Pico hydropower is used as a distributed system based renewable energy system meant for rural or remote area load . It is, hence, of most significant to propose an effective methodology to assure the better making reimbursement of a combined Pico hydro system with solar pv system. The proposed method mainly estimates the feasible of installing Pico hydropower in a run-of river. The Methodologies to assess the feasibility and sustainability of such mechanism were depicted. The orderly designing of plant is defined by considering some optimal technological method that considers the dimension of components plus the estimation of the gross energy generation. Economical plus Technical data studies performed to examine the profitability and practicability of the system. This planned method can be examined as a study and the feasibility of developing a PHP in a run of river system is possible. The environmental impact on fixing this plant measured and possibly reduced. This results obtained are demonstrated for already existing infrastructure and analyzed that the cost can be reduced by using an optimized model. A simulation result has obtained the financial expand is more by the technique used for the combine hydro-PV hybrid system. In Addition to the environmental impact and effect an analysis has exposed that yearly more than 200 tons of carbon emission is reduced by producing clean and green liveliness by means of the environmental and ecological solution.
Experimental and Artificial Neural Network (Ann) Simulation of a Solar Cavity Collector
Authors:   Professor, working in Department of Mechanical Engineering, Annamalai University., B* Lakshmipathy. , B Sivaraman. ,   Prof. & Head, Department of Mechanical Engineering, working in Annamalai University, M Senthilkumar. ,   Assistant Professor, Department of Mechanical Engineering working in Annamalai University., A Kajavalli. ,   Associate Professor, working in Department of Mechanical Engineering, Annamalai University, S Krishnan. ,   Assistant Professor in the Mechanical Engineering Department of Annamalai University
Published: August 2019

Solar cavity collector (SCC) is an improvised version of flat plate solar collector (FPC). A SCC of outer radius 16mm positioned concentrically and placed in a 50 mm metal box. Five numbers of such cavities with a provision of inlet and outlet water pipes has been fabricated and experimented for its optimal performance. This experimental gadget is used to heat the water. As the physical dimensions of solar cavity collector influence the performances of the cavity collector, it includes the comparison of 5 numbers of cavities and 7 numbers of cavities, effect of aperture entry have been taken as investigation parameters in the present study. Inclination angle of the collector, water mass flow rates and mode of flow are the other parameters taken for the present study. Experimental data are trained and tested using Artificial Neural Network (ANN) tool of MATLAB software and ANN simulation results have been validated and verified with the available experimental data. Simulations for other set of variables have been predicted with the developed ANN model.
Sentiment Analysis of Movies on Social Media using R Studio
Authors:   Department of CSE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), Rajiv Gandhi Salai, Old Mamallapuram Road, Paiyanoor 603104, Kanchipuram (DT), Tamil Nadu,, R* Jaichandran , Basha C. Bagath ,   Department of Computer Science and Engineering, Vinayaka Mission’s Research Foundation, Salem, Tamil Nadu, India., K.L Shunmuganathan ,   principal, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), Rajiv Gandhi Salai, Old Mamallapuram Road, Paiyanoor 603104, Kanchipuram (DT), Tamil Nadu, India,, Rajaprakash  ,   Department of CSE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), Rajiv Gandhi Salai, Old Mamallapuram Road, Paiyanoor 603104, Kanchipuram (DT), Tamil Nadu, India,, Raja S Kanagasuba ,   Department of IT, SRM Eswari Engineering College, Chenaai, Tamil Nadu, India.
Published: August 2019

This paper presents sentiment analysis of twitter data on movies using R-studio. Twitter is one of the largest social media that shares user opinion about a thing or event that happens all around the world. Recently social media analysis gained importance in digital marketing. User tweets about a product or event, person, movie, etc., are analyzed to know market trends and customer feedback. In this paper, first we have performed literature study on various methods used in twitter data analysis. Second, we have discussed about the steps involved in accessing twitter data. Finally, we have performed sentiment analysis on tweeter data for the movies titled kabali, Bharath Ane Nenu Mersal, and Dangal. User data for the movies are classified into positive, neutral and negative based on DBM and SVM. Sentiment scores are used as evaluation metrics. Results shows DBM is effective in classifying sentiments and produced better sentiment scores compared to SVM. Results are helpful in identifying popularity of the movies and audience feedback about the movies.
Detection and Classification of Fetal Abnormalities by Anfis in First Trimester
Authors:   M.E (Applied Electronics), Sathyabama University, Chennai (Tamil Nadu), India., Rajalakshmi S.K. , Sivagamasundari Dr. S. ,   Department of Electronics & Instrumentation, Annamalai University, Chidambaram, (Tamil Nadu), India.
Published: August 2019

Detection studies of fetal abnormalities are essential particularly in the first trimester. These are important for physicious and patients as abnormality can be corrected in the early stage of growth of fetus. Ultrasound techniques give us good opportunity to known about abnormal his such as Anencephaly, Renal anomalies, Cystic Lymphangioma, Cystic Hygroma, Gastroschisis and Fetal megacystis. Firstly the fetal data has to be processed by proper methods such as those used in digital image processing to generate classification of abnormalities.Secondly comparisons with equivalent methods are to be made. After preprocessing using median filter to remove noise, segmentation is done to give qualitative and quantization analysis. This is followed by feature extraction and feature selection using Particle Swarm optimization .Ultimately classification is done by Adaptive Neural Fuzzy Inference System .Comparison of this method with others is carried out to vindicate the efficacy of the proposed technique. The results show that the classification done by the proposed method scores over that of Naive-byes Supports Vector Machine, Linear Discernment Analysis and K-nearest neighbor methods. The proposed method has advantages in detection and classification of the seven abnormalities taken up.
Parametric Optimization in SI Engine Fuelled With Gasoline-Ethanol Blends Using Response Surface Methodology
Authors:   Department Of Mechanical Engineering, Sir MVIT, Bengaluru, India,, Kumar.M Kiran , Math M.C. ,   Associate Professor In The Department Of Thermal Power Engineering Of Visvesvaraya Technological University Center For PG Studies, Mysure. India,
Published: August 2019

Alcohols are a unit gaining attention everywhere in the world has an alternate to gasolene. Among alcoholic alternative combustible fuels such as Biogas, Hydrogen, Methanol, Biodiesel and Ethanol, Ethanol is the best-listed alternative renewable and neat fuel for Spark Ignition (SI) engines as blends in various fractions boosts the oxygen content, leads to promising minimum emissions as compared to non-blended fossil fuels. Non-oxygenated gasoline-ethanol blends were prepared, with 5% to 35 % ethanol to boost the Octane rating. Iso-octane is also added in to the blends as an additive (3% to 5%). The results from the engine test for the prepared blends at constant loading conditions are analyzed and optimized by RSM and DoE. It was found that at E30 blend with 5% Iso-octane additive found minimum BSFC and higher BTE. The emission characteristics like CO, CO2, HC, and NO2 are quite low for the given maximum constant loading conditions (9kg) with setted Compression Ratio (9) and at rated speed. The perceptions produced using the test that E30 blends and 5% of additive Iso-Octane have come about better engine performance' and least 'emitants' when contrasted with other tested blends.
Prediction of By-Diseases in Diabetic Patients Using Associative Classification with Improved Classifier Accuracy for Decision Support System
Authors:   Research Scholar at Shri Jagdish Prasad Jhabarmal Tibrewala University of Jhunjhunu., Khan* Shahebaz Ahmed , Jabbar M A ,   Professor and Centre Head at the Computer Science and Engineering Department, Vardhaman College of Engineering, Hyderabad, Telangana, India.
Published: August 2019

Associative Classification in data mining technique formulates more and more simple methods and processes to find and predict the health problems like diabetes, tumors, heart problems, thyroid, cancer, malaria etc. The methods of classification combined with association rule mining gradually helps to predict large amount of data and also builds the accurate classification models for the future analysis. The data in medical area is sometimes vast and containss the information that relates to different diseases. It becomes difficult to estimate and analyze the disease problems that change from period to period based on severity. In this research paper, the use and need of associative classification for the medical data sets and the application of associative classification on the data in order to predict the by-diseases has been put front. The association rules in this context developed in training phase of data have predicted the chance of occurrence of other diseases in persons suffering with diabetes mellitus using Predictive Apriori. The associative classification algorithms like CAR is deployed in the context of accuracy measures.
Numerical Modeling and Simulation on Fuel Cell Thermal Cooling with Water Based TiO2, AlN and CuO Nanofluids
Authors:   Department of Production Engineering, Veer Surendra Sai University of Technology, Burla (Sambalpur), Odisha, India., Kund* N. K.
Published: August 2019

Computer codes are developed and applied on water based TiO2, AlN and CuO nanofluids. The situation visualizes on fuel cell heat management. It evaluates thermal field/contour besides fuel cell temperature. Ultimately, for all the quoted nanofluids, the fuel cells temperatures remain quite below the critical breakdown value of 356 K. Furthermore, for all the quoted nanofluids, the thermal fields/contours range between fuel cells edges and ambient values. Despite the resemblances in thermal fields/contours, the dissimilarities are in consequence of the deviances in thermophysical properties of enumerated nanomaterials. Besides, fuel cell temperatures of 353 K, 320 K and 340 K are observed with water based TiO2, AlN and CuO nanofluids, respectively. In addition, the water based AlN nanofluid extracts optimum fuel cell heat management. Because, the water based AlN nanofluid also corresponds to the lowest stimulating fuel cell temperature of 320 K.
Development and Analysis of Heat Exchanger for Efficient Heat Transfer for L-Shape Wind Tunnel
Authors:   Ph. D. Research Scholar, Shri Jagdishprasad Jhabarmal Tibrewala University, Jhunjhunu,Rajasthan India., Mahale Pradnya , Gadhave Dr.Subhash ,   Associate Professor Dr.D.Y.Patil Institute of Technology Pimpri, Pune , India
Published: August 2019

As automation and mechanical industry growing towards next era, it becoming crucial to design each element of plant with more productive material. Out of many parameters, heat transfer is very important area of study to lower the rate of failure of numerous machines. For heat transfer control there is a need of design of efficient heat exchanger. A heat exchanger can be designed for minimization of heat energy from the wind tunnel. Impact on HE performance is important due to the thermal resistance of wind tunnel. Thermal resistance is the heat property of the tunnel material and dimensions of tunnel. Looking at application level performance, the thermal resistance is crucial element in case of aerodynamic study. The similar study is done for Apolo11 spacecraft which was important in case of landing back to earth as traveling to earth with high speed generated heat which can damage spacecraft body. Such study further leads to various domains like material research, human impact study etc. The most recently, asteroid is passed nearby of earth orbit, where aerodynamic study of NASA evaluated the pre-collision effects where thermal properties are analyzed considering the atmospheric nearby orbit as a tunnel of wind/pressure. Hence, the scenarios must be considered for heat transfer / heat exchanger design specific to the each application domain. This paper discusses about the asteroid bypass which generates heat as a major heat transfer to earth and the automobile specific modeling of heat exchanger for wind tunnel. The focus is kept on heat exchanger design which can be suggested for automobile testing procedure.
Design and Analysis of Multi - Heuristic Based Solution for Task Graph Scheduling Problem
Authors:   Department of Computer Science & Engineering, UIET, Panjab University, Chandigarh, India., Kaur* Ravreet , Singh Gurvinder ,   Department of Computer Science, Guru Nanak Dev University, Amritsar, India.
Published: August 2019

Heuristic based strategies have always been of interest for researchers to achieve sub-optimal solutions for various NP-Complete problems. Human evolution based methods have been an inspiration for research since ages. One of the many evolutionary strategies based on the principle of genetic algorithm have been able to provide much sought after sub-optimal solutions for various NP-Complete problems. One of the most sought after NP-Complete problem is Task graph scheduling i.e. optimally execute the schedule of tasks on available parallel and distributed environment so as to achieve efficient utilization of available resources. Task scheduling is a multi-objective combinatorial optimization problem, with key parameters being reduced completion time and effective load balance on the available resources. Various algorithms have been proposed by various authors to achieve the above mentioned goal with the help of various heuristics like list scheduling, task duplication and critical path based. The algorithms proposed by various authors like Highest Level First Execution Time (HLFET), Modified Critical Path (MCP), Duplication Scheduling Heuristic (DSH), Linear Clustering (LC) and Dynamic Critical Path (DCP), belonging to each heuristic mentioned before will be taken under study. Previously these algorithms have been individually reported to be efficient in some certain restricted environment parameters with certain limitations; offering very preliminary improvement on the state of art of one single type of environment. Designers face difficulty in choosing the optimal algorithm for the generalized environment. This paper will identify the gaps in existing literature that forms the base of every research focusing in the direction of improvement of task graph scheduling algorithms. Further, this paper will propose a hybrid meta-heuristic i.e. Genetic Algorithm based task graph scheduling solution and perform a comparative study of aforementioned algorithms.
Performance Evaluation of Coexistence of WiFi and LTE Licensed-Assisted Access to Unlicensed Spectrum using Markov chain Analytical Model
Authors:   ECE Department, V.R.Siddhartha Engineering College Vijayawada, India., Padarti* Vijaya Kumar , Rao Dr.N.Venkateswara ,   ECE department, Bapatla Engineering College, Bapatla, India.
Published: August 2019

LTE with the inclusion MIMO renders high data rate, we introduce a model for system performance evaluation considering typical coexistence of LAA LTE and WiFi. Currently, as the need for high bandwidth to satisfy high data rate demanding services increased significantly over the years, the operators are thinking about various answers for incrementing system limit. As the authorized range has been costly, utilizing LTE in the unlicensed spectrum will be a hopeful strategy to oblige trade requirement for versatile information. Expecting that LAA eNBs perform CCA as a similar way to WiFi CSMA, we utilize Markov chain to help assess the influenced execution of WiFi as well as the connection between the joint framework execution and LAA most extreme transmission time. Nonetheless, LTE needs to exist together with different heterogeneous system, particularly WiFi, prior in the unlicensed medium.