bluuebunny/crossref_metadata_2025 huggingface dataset:
Machine Learning for Agribusiness Using GIS
Authors:   Department of Information Science, Adichunchanagiri University-BGSIT,BG Nagar Mandya ,India., Gowda Sahana D , N M Niveditha ,   Department of Computer Science, Adichunchanagiri University-BGSIT,BG Nagar Mandya ,India., M P Amulya ,   Department of Information Science, Adichunchanagiri University-BGSIT,BG Nagar Mandya ,India., A R Namitha ,   Department of Computer Science, Adichunchanagiri University-BGSIT,BG Nagar Mandya ,India.
Published: August 2019

In present days we have discussed about the emerging concept of smart agriculture that makes agriculture more efficient, effective and farmers save money and time with the help of high precision algorithms and Geographic Information System (GIS).The component that drives it is GIS with Machine Learning the logical field that enables machines to learn without being carefully customized. It has developed together with huge information advances and elite registering to make new chances to disentangle, measures, and comprehends information concentrated procedures in farming operational conditions. For instance, ranchers use accuracy GPS on the field spare manure. Ranchers use precision agribusiness since they can lessen the proportion of manure fertilizer. Moreover, satellites and robots assemble vegetation, topography and atmosphere information from the sky. This information can go into developing maps for better fundamental activity.
ABS using Fuzzy Logic in MATLAB and Its Hardware Implementation
Authors:   B.E Student*, Dept. of ECE, CMR Institute of Technology, Bangalore, Karnataka, Ayush  , Kumar Abhishek ,   B.E Student, Dept. of ECE, CMR Institute of Technology, Bangalore, Karnataka, Kumar Amitosh ,   B.E Student, Dept. of ECE, CMR Institute of Technology, Bangalore, Karnataka, Sridevi S. ,   Associate Professor, Dept of ECE, CMR Institute of Technology, Bangalore, Karnataka, Venkateswaran Dr. K. ,   Associate Professor, Dept. of ECE, CMR Institute of Technology, Bangalore, Karnataka
Published: August 2019

This paper proposes a cheap and effective method to interface the concept of FUZZY LOGIC and (Antilock Braking System) ABS system used in cars and bikes for preventing the condition of wheel locking and wheel slipping and if wheel slipping occurs then how much of intensity of brake should be applied to keep the vehicle in control of the user. This decision is taken by Fuzzy System which makes decision based on user inputs namely Obstacle, Brake force and Slip ratio. The Fuzzy system gives an Pulse Width Modulation output based on three intensity levels of brake will be applied such as High Brake , Medium Brake and No Brake. Hardware Implementation consists of an MCU which is interfaced with an LCD and DC Series motor which displays intensity of brake applied and motor represents the motion of the actual wheel of a vehicle respectively.
Determination of Deoxygenation Rate Coefficient as Component in Water Quality Modeling of Middle Segment of Citarum River, Indonesia
Authors:   Department of Environmental Engineering, Universitas Pasundan, Bandung, Indonesia., Yustiani Yonik Meilawati , Wahyuni Sri ,   Department of Environmental Engineering, Universitas Pasundan, Bandung, Indonesia., Ayudina Anna ,   Department of Environmental Engineering, Universitas Pasundan, Bandung, Indonesia., Nurkanti Mia ,   Department of Biological Education, Universitas Pasundan, Bandung, Indonesia., Suliasih Neneng ,   Department of Food Technology, Universitas Pasundan, Bandung, Indonesia.
Published: August 2019

Citarum River is a river that passes in the Purwakarta City at its middle segment. The riverbank is overflowing with people's houses with its wastewater outlet leading directly to the river. Various efforts can be implemented in order to improve the environmental conditions of the Citarum River. One of the activities that can be conducted is the prediction of water quality through the modeling of river quality. This domestic waste polluted river model generally uses BOD and DO equations which require the coefficient of deoxygenation rate in its calculations. This study aims to determine the value of the coefficient of deoxygenation rate using the method of laboratory experiment and using the empirical formula. The coefficient will gives more accurate result of urban river quality modeling. Samplings were carried out at two locations that are considered to represent river condition. The laboratory analysis method used in the calculation of deoxygenation rate is using Winkler Method and Slope Method, while Empirical Formula is used in calculating deoxygenation rate using Hydroscience Equation. The results of the analysis and calculations show that the value of the deoxygenation rate range (K1) in the middle segment of Citarum River ranges from 0.10 to 0.17 per day and the BOD Ultimate (La) concentration ranges from 18.46 to 24.43 mg/L. As for the value of deoxygenation rate range (K1) on Citarum River using empirical formula ranged from 0.270 to 0.278 per day. The difference in value can be attributed to the actual deoxygenation rate in the Citarum River is hampered by the factors that disrupt the process of decomposition of organic matter and its capability on self purification process.
Architectural Design Model for office interior to suit Personality types and to enhance Productivity
Authors:   Assistant Professor, Islamic Azad University of Fouman & Shaft, Guilan, Iran., Poursafar Dr. Zara , Rodrigues Dr. Lewlyn L. R. ,   Professor, Department of Humanities and Management, Manipal Institute of Technology, Manipal Academy of Higher Education, India, K.V Dr. Sriram ,   Associate Professor, Department of Humanities and Management, Manipal Institute of Technology, Manipal Academy of Higher Education, India
Published: August 2019

Preferred colour choices and pleasant lighting conditions makes the makes the office ambience conducive to work. Reaction of individuals to their ambience differ based on their personality types. Awareness about employee’s personality types will help the designer develop appropriate strategies for the office interior environment. These strategies and plans must meet the employee’s preferences of colour and lighting, particularly in their workstation. This study is based on the theoretical and empirical works. The study revealed the employee’s preferences about architectural elements – especially colour and lighting- to improve the Productivity in office atmosphere. The findings from this part were categorized based on four Personality groups as defined by Myers Briggs Types Indicators (MBTI). The conclusions of the study signified that there are preferences for each personality group in case of colour and lighting. Every employee in all personality groups identified a combination of architectural elements in his/her individual work station and mentioned that their productivity and quality of life in this desired work environment will significantly improve.
Performance of Different Retrofitting Techniques on Existing RCC structures
Authors:   Civil Engineering Department, Prof. Ram Meghe Institute of Technology & Research, Badnera, Amravati, Maharashtra, India., Mohod Dr M. V.
Published: August 2019

Most of earthquake in India shows that engineered as well as non-engineered structures are heavily doubted during moderate earthquake. India has a great population due to urbanization and that creates a challenge on structural designers to make use of acute space effectively. Constructing new structures is not always a choice especially in compact areas of city. Hence, utilizing reserved strength of existing structure will help to achieve economy as well as heritage. Most of the old structures need a retrofitting (up gradation of strength) due to many reasons like changing environmental condition, revision of codal provisions, revision of zones of India and improper supervision of structures. To depict the potential of retrofitting technique over existing structures, an attempt is made to upgrade the existing structure in the vicinity of Amravati region (M.S.). Existing structure was constructed with open ground storey without consideration of infill wall during analysis (Prior to this study). This paper presents consequences of providing open ground storey and remedial measures of retrofitting among different methods of retrofitting techniques.
Chronic Disease Prediction using Effective Feature Selection
Authors:   Department of Information Science and Engineering, NMAMIT, Nitte, Karkala, India., Saurabh Nikitha , Nargis Tanzila ,   Department of Information Science and Engineering, NMAMIT, Nitte, Karkala, India.
Published: August 2019

Healthcare is a major sector where there is demand for predictive analytics using machine learning. Healthcare will be largely benefited when useful knowledge can be transferred into timely action to manage hazardous situations in medical sector. Chronic kidney disease is a life threatening disease which can be prevented with timely right predictions and appropriate precautionary measures. In this paper, various machine learning classifiers are applied on the medical dataset to develop a prediction model to tell if a person's present medical condition can lead to the chronic stage of the disease in future. The higher prediction accuracy and decreased build time is obtained with reduced feature set attributes by applying Best First and Greedy stepwise algorithm combined with different classification techniques like Naive Bayes ,Support vector machine (SVM), J48, Random Forest, and K Nearest Neighbor(KNN).
Determining the Strength Properties of Concrete Using Plastic Waste (Synthetic Polymers & Thermoplastic Polymer Resigns)
Authors:   Asst Professor, Department of Civil Engineering, GIET College of Engineering, Rajahmundry, A.P, India., Rambabu G. , Gangaraju P. Mohan ,   Asst Professor, Department of Civil Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, A.P, India., Ram J. Eeshwar ,   Asst Professor, Department of Civil Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, A.P, India.
Published: August 2019

The outline of this research paper is the usage of waste plastic materials in concrete mixes. Due to modernization with rapidly growing industries, urbanization all over the world has produces large amount of plastic waste. This produces enormous measure of plastic waste because of convey sacks which are utilized for pressing, conveying vegetables and pet jugs which are utilized for drinking reason, those makes a noteworthy ecological issues in light of the fact that, the plastic material will take billions of years to decay totally. The huge amount of plastic transfer waste may cause land contamination and water body gets defiled. The plastic waste is non degradable which is used in concrete to study the behavior of concrete with various percentages (0.0%, 0.2%, 0.4%, 0.6%, 0.8%, 1.0%) of synthetic polymers (carry bags) and thermoplastic polymer resign (pet bottles). The concrete strengths are Compressive strength & Split tensile strengths of various concrete specimens were tested.
Applicability of the Analytical Hierarchy Process (AHP) in Decision Making for Integrated Urban water System in a city
Authors:   Research scholar, Department of Civil Engineering, National Institute of Technology Raipur, Chhattisgarh., India, Shrivastava Pooja , Verma Dr.M.K. ,   Professor, Department of Civil Engineering, National Institute of Technology, Raipur, Chhattisgarh., India and Vice-chancellor in Chhattisgarh swami Vivekananda Technical University, Bhilai, Chhattisgarh, India, Murmu Dr.Meena ,   Assistant professor, Department of Civil Engineering, National Institute of Technology, Raipur, Chhattisgarh, India, Ahmad Dr. Ishtiyaq ,   Assistant Professor , Department of Civil Engineering , National Institute of Technology Raipur , G.E. Road, Raipur, Chhattisgarh, India
Published: August 2019

The urban water system is a complex and dynamic for planning of an integrated framework. This paper illustrates Analytical Hierarchy Process (AHP) technique as a decision-making tool for the municipality’s urban water based on four different criteria i.e. economic, environmental, social, and sustainability to support stakeholders and water utility experts. Due to insufficient funds for the urban water planning, prioritization problems arise and for this hierarchical network represents with prioritization criterion to implement an alternative solution. Saaty’s analytical hierarchy process (AHP) hypothesis is explaining in the study with Multi-Criteria Decision Analysis (MCDA) and adoptable the alternatives through highest priority value. According to the AHP theory, all required criteria are ranking and preparing the list of alternatives to select the most prioritized solution to carry out in the plan of the urban water policy. Along with a consistency, a check of the final judgment is still carrying out by sensitivity evaluation of the synthesis model even if there are changes in decisions. The study find out the best workable solutions for existing issues in the urban water structure by promoting an interface between water users and stakeholders to reach a sustainable strategy in the city. AHP technique not only finds the important of each criterion but still comparing the criteria weights regarding objectives and alternatives. This application of AHP will ease the policymakers and stakeholders in the governing process for next-generation urban water system planning and designing by providing a framework and support to prepare a city master plan.
An Audit of Municipal Solid Waste Management in a Mega-City (East Delhi): Challenges and Opportunities
Authors:   Fellow, Department of Environment and Waste Management Division, The Energy and Resources Institute, India Habitat Center, Lodhi Road, New Delhi, Manuja Sourabh , Pandey Suneel ,   Sr. Fellow and Director, Department of Environment and Waste Management Division, The Energy and Resources Institute, India Habitat Center, Lodhi Road, New Delhi, Gulati Pallavi ,   Ex-Research Associate, Department of Environment and Waste Management Division, The Energy and Resources Institute, India Habitat Center, Lodhi Road, New Delhi-110003 and Presently Project Manager at Quality Council of India, Ministry of Commerce and Industry, Institution of Engineers Building, New Delhi
Published: August 2019

Municipal Solid waste management in developing countries is a gigantic task and its improper management can lead to severe environmental concerns and immense economic loss. However, many urban local bodies are not fully aware of the existing gaps in infrastructure and MSW management services that should be provided to make the system run efficiently and ensuring compliance to the national rules for waste management.The scale of the problem is huge as the reported annual MSW generation in India is about 58.87 Million tonnes (2016-2018) with an estimated annual increase of about 5%.We all know thatinadequate collection of municipal solid waste results in local and global environmental problems, including air pollution (local health and global climate change) and water pollution (local water bodies and marine litter). The Solid Waste Management Rules of 2016 issued by the Government of India requires source segregation and collection; and identifies specific roles and responsibilities for stakeholders, including waste generators, collectors, and local government. The main objectives of the study were to conduct a gap analysis of the existing municipal waste management system in East Delhi Municipal Corporation (EDMC) area and to assist in ensuring proper implementation of Solid Waste Management Rules 2016.This paper presents the relevant national rules and the current collection practices in East Delhi based on the results of a recent survey of waste management practices. The survey revealed that much of the waste was not segregated, and found that lack of awareness, infrastructure, monitoring, incentives and penalties were the primary reasons for inadequate collection practices in the city. Door-to-door campaigns, television advertisements, and penalties for noncompliance were identified as some of the key measures to improve segregation and collection.The methodology used for the study was a mix of primary and secondary research tools like, transect walks, personal interviews with stakeholders, focus group discussions and literature review; in sample wards of the city to ensure a 90% confidence level. Such a study shall beuseful for other developing countries to help identify priority areas of action and achieve sustainable MSW management.
Ultrasonic Velocity & Other Related Parameters
Authors:   Associate Professor, Department of Basic Science & Humanities , KKR&KSR Institute of Technology & Sciences,Guntur,AP,India ., Rao Dr Ankam Raghavendra , Raghuram Dr D.V. ,   Associate Professor,Department of Physics . Hindu College ,Guntur.AP,India, Rao Mr Y.Mohan ,   Department of Basic Science & Humanities , KKR&KSR Institute of Technology & Sciences , Guntur ,AP, India
Published: August 2019

Ultrasonic velocity is an important parameter, characterizing the state of the system. It can be determined experimentally by using Ultrasonic Interferometer. A brief discussion of ultrasonic interferometer and mode of determining ultrasonic velocities is given. The present paper deals with the experimental determination of ultrasonic velocities and adiabatic compressibility’s of ethylene glycols and higher homologous. From the ultrasonic velocity, closely related parameters like molar sound velocity, molar compressibility, and Vander Waal’s constant ….etc. are evaluated. The variations in ultrasonic velocity and related parameters with degree of polymerization and a phenomenal reasoning for the same are also permuted.
Learning Strategies in Distance Education
Authors:   Togliatti State University, Russia., Peteraitis Sergey Kh. , Shepelyuk Olga L. ,   Tyumen Industrial University, Russia., Fardeeva Irina N. ,   Kazan Federal Univrsity, Russia.
Published: August 2019

This article highlights the important issues of distance learning. A brief history of the development of distance learning and individual approaches to the applicability of this type of training in modern conditions are given. An individual approach to distance learning allows you to expand the scope of various educational distance learning courses by involving the creative forces and interests of each participant of a particular distance learning resource. Each student of a distance course can ask questions based on their own interests and previously acquired knowledge, which will significantly expand the discussion and therefore the coverage of one or another course being studied.
Applying of a Company’s Stock Price Prediction using Data Mining
Authors:   PG Scholar, Computer Science and Engineering, Vel Tech Multi Tech Dr.RangarajanDr.Sakunthala Engineering College, Chennai, India., Muthuselvi S. , Rengarajan A. ,   Professor, Computer Science and Engineering, Vel Tech Multi Tech Dr.RangarajanDr.Sakunthala Engineering College, Chennai, India., Scintiaclarinda S, ,   PG Scholar, Computer Science and Engineering, Vel Tech Multi Tech Dr.RangarajanDr.Sakunthala Engineering College, Chennai, India., Nithya K. ,   Assistant Professor, Computer Science and Engineering, Vel Tech Multi Tech Dr.RangarajanDr.Sakunthala Engineering College, Chennai, India.
Published: August 2019

Stock market analysis is a common economic activity that has been an attractive topic to research and used in different forms of day-to-day life in order to predict the stock prices. Techniques like major analysis, Statistical investigation, Time arrangement analysis and so on are reliably worthy forecast device. In this paper, Data mining, Machine learning (ML) and Sentiment analysis are techniques used for analyzing public emotions in order predict the future stock prices. The goal of a project is to review totally different techniques to predict stock worth movement victimization the sentiment analysis from social media, data processing. Sentiment classifiers are designed for social media text like product reviews, blog posts, and email corpus messages. In the company’s communication network, information mining calculation is utilized as to mine email correspondence records and verifiable stock costs. Implementing various Machine learning and Classification models such as Deep Neural network, Random forests, Support Vector Machine, the company can successfully implemented a company-specific model capable of predicting stock price movement with efficient accuracy.
The Influence of Straw and Plastic Fibers on Behavior and Strength of Concrete Mix
Authors:   Assistant Professor , Civil Engineering Department– Jerash University -Jordan, Ghannam Shehdeh
Published: August 2019

The straw and plastic fibers are used in concrete mix, to minimize crackswidthafter shrinkage and creep .Various types of mentioned admixturesare needed in concrete to eliminate cracks, and to increase strength of concrete and to make it more ductile. This research presents a discussion of two types of fibers used to reinforce concrete , such as straw and plastic fibers, separately and together, and this application is necessary to improve the concrete performance in its strength and ductility .Furthermore , this application is very important to achieve a limitation of the cracks, that may appear in concrete after its hardening.Plastic fiber can be produced from the plastic threads and waste propylene ,that are considered as waste materials after uses. Straw fiberis produced after harvesting thewheat , the straw waste is costly and noisy to eliminate by burning.A huge amount of plastic disposal as well as straw waste materials , cause a climate pollution. Using these both disposal materials in concrete mix (as an admixture) of different portions such as : 0.5% , 1.5% and 2.5% by weight of sand, will improve the ductility , and will inhibit the crack propagation.Thepaper is focused on testing different specimens of concrete mixes (cubes and cylinders)in order to investigate crack propagation, as well as to calculate both the concrete compression and tension.
Healing Effects of Fresh Earthworms (Pheretima Javanica K.) for Typhoid Fever Induced in Male White Rat (Rattus Norvegicus L.)
Authors:   Biologi Education Departemen, University of Jember, Jember, Indonesia, Waluyo Joko , Wahyuni Dwi ,   Biologi Education Departemen, University of Jember, Jember, Indonesia, Utami Wiwien S. ,   Medical Departemen, University of Jember, Jember, Indonesia
Published: August 2019

Typhoid fever is systemic infectious disease caused by Salmonella typhi bacteria which is still considered as a health problem for the world people. This reasearch aims to know the healing efffects of fresh earthworm species Pheretima javanica to reduction typhoid fever replace the treatment using cloramphenicol. This research using male white rats (Rattus norvegicus L.) with negative control and positive control by using cloramphenicol. and 4 treatments group of each 5 rats. The test consists of Widal test, feces test and body weight measurement were analyzed descriptively, while body temperature measurement was analyzed by using ANOVA test and continued with Duncan test with confidence rate at 95%. The analyzed result got probably result p = 0,0001 (p < 0,05) means that fresh earthworm has a significant effect on the reduction of typhoid fever on male white rats with optimal dosage is 3 gram / 0.2 kg BB.
System for Rogue VoIP Phone Detection and Managing VoIP Phone Mobility
Authors:   Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Dubi Ilyas Khudhair , Waheeb Ghiath Mageb ,   Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Jabbar Saif Ahmed ,   Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Sallehuddin Hasimi ,   Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Satar Nurhizam Safie Mohd ,   Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia, Yahya Farashazillah ,   Faculty of Computing & Informatics, Universiti Malaysia Sabah, Malaysia, Bakar Nur Azaliah Abu ,   Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia
Published: August 2019

The quickly propelling Voice over Internet Protocol (VoIP) innovation, is picking up customer fascination in the business today. Its uses, including IP communication frameworks, includes the transmission of voice as information bundles which after achieving the getting side, reassembles and deciphers according to necessity. This encourages open just as private IP frameworks. The real drawback, keeping numerous organizations off from utilizing VoIP advances is related to the security of this framework. This paper examines a strategy and the following framework that get to arrange data for approved system gadgets. The entrance insights and data empower to follow gadget development all through the system. In addition, it offers to recognize unapproved gadgets making false endeavors to get to the system, presenting to be an approved access gadget.
Safety of Bioinsecticide Ekstract Sugar Apple Seed’s Granule (Annona squamosa L.) on Histology of White Rat (Rattus norvegicus B.)
Authors:   Biologi Education Departemen, University of Jember, Jember, Indonesia, Wahyuni Dwi , Lathifa Rifqi Fuadatul ,   Biologi Education Departemen, University of Jember, Jember, Indonesia, Susilo Vendi Eko ,   Medical Departemen, University of Jember, Jember, Indonesia.
Published: August 2019

The granules of sugar apple seeds extract (Annona squamosa L.) have been taken as the natural larvacide an economical in eradicating mosquito flicks of Aedes aegypti L. because of its the content of toxic compounds such as acetogenin, alkaloids, and flavonoids. In its use it is feared to cause toxic in the environment, especially the class of mammals as non-target animals, especially kidney organ. The kidney is an organ that is susceptible to toxic effects, since it receives 25-30% of the blood circulation to be cleaned, so that as a filtration organ there is a possibility of pathological changes. This study aims to determine the effect granules of sugar apple seeds extract (Annona squamosa L.) on the histology of white rat (Rattus norvegicus B.). Kidney histology observed as fat degeneration, hydrophic degeneration, and necrosis of tubular cells occurred in one field of view. The concentration given was 1 mg, 2 mg, 4 mg, and 8 mg while the negative control induced 2 ml aquades and positive control using abate 100 mg for 14 days with sonde method. The analysis used in this research is descriptive analysis with scoring. The results showed that granules of sugar apple seeds extract did not give effect to histology of white rat (Rattus norvegicus B.).
Soil Interaction of Building frame Resting on Clayey Soil: Effect of Change of Aspect ratio
Authors:   PG Student, Civil Engg, KHIT-Chowdavaram, Guntur, A.P, INDIA, Raju Koppula Merin Salman , Reddy C Ravi Kumar ,   Professor, HOD, Civil Engg, KHIT-Chowdavaram, Guntur, A.P, INDIA.
Published: August 2019

In General the framed structures are analyzed by considering that their bases are totally rigid (or) hinged. However, depending on relative rigidities of soil foundation and super structure the foundation undergoes deformation. In structural design the designers ignore the settlement response of the framed structure. The distribution of load on column and moment in framed structure transmitted to the foundation in the substructure has a crucial role in structural stiffness. Hence the analysis of the single bay single storied building frame resting on soil (CLAYEY SOIL) is taken for present study. The numerical analysis is carried out using ANSYS R16.0 by assuming that the base of the frame is resting on Soil (CLAYEY SOIL). The constant column height of 3M, while beam length varies of 6M,12M, &18M and their respective aspect ratio’s of 2,4&6. And for each aspect ratio the modulus of sub-grade reaction for clayey soil varies from 0.01 to 0.050N/mm3. The conventional analysis which assumes that the frame is resting on rigid support is carried out using ANSYS R16.0 by assuming the fixed base for the columns in the building frame when modulus of sub grade reaction varies from 0.01 to 0.050 N/mm3. The following conclusions have been drawn from the study, The percentage difference of shear force and bending moment in the beam, The axial load, shear force and, bending moment values in the column, and The bending moment values (Mx)&(Mz) in the shell and footing settlements in the shell for various aspect ratios of the frame obtained from both conventional and finite element analysis are not having considerable difference. Comparing numerical analysis which considers soil interaction with the conventional method, the conventional analysis is shown higher values SF and B.M in the beam, footing and columns. In conventional analysis it is assumed that the footings are resting on a rigid medium so footing settlements are zero. While observing the footing settlements in reality they undergo with some settlement therefore these settlement values are observed for numerical analysis which are used for the design to satisfy codal requirements.
Enhancing Focus Topic Findings of Discussion Forum through Corpus Classifier Algorithm
Authors:   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia., Setiawan Reina , Budiharto Widodo ,   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia., Kartowisastro Iman Herwidiana ,   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Computer Engineering Department, Faculty of Engineering, Bina Nusantara University, Jakarta, Indonesia., Prabowo Harjanto ,   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Management Department, BINUS Business School - Undergraduate, Bina Nusantara University, Jakarta, Indonesia.
Published: August 2019

In learning management system, a discussion forum, in which the students and lecturers are involved actively as part of the learning method, enriches the context of communication, thereby enhancing the students’ learning and performance. The aim of this paper was to determine the appropriate topics for a discussion forum for learning management systems through enhanced probabilistic latent semantic analysis (PLSA) with the corpus classifier algorithm. In preparing the paper, the methods used were PLSA and the classifying process, which classifies the documents to become a corpus based on the similarity word approach. The similarity word is influenced by the term-frequency of the word in the document. The novel concept in this paper is the corpus classifier algorithm. The experiment was conducted using three approaches to discover the topic, and it used 4,868 distinct words from 234 documents. The documents were contained in three threads subject. The post of the discussion forum is the text document. The performance of the result was measured by the f-measure, which was calculated for each thread subject. The corpus classifier algorithm was used in the second approach, and third approach increased the average f-measure values for the second and third thread subjects by approximately 24 and 17%, respectively.
Quality Characteristics of Soils for Irrigation Practices at Guntur District Andhra Pradesh, India
Authors:   Research Scholar, Department of Environmental Sciences, College of Science and Technology, Andhra University, Visakhapatnam, A.P., India. & Assistant Professor, Department of Civil Engineering, Vignan’s Foundation for Science Technology and Research, Deemed to be University, Andhra Pradesh, Guntur, A.P., India, Raju M.V. , Rao P,V.V.Prasada ,   Professor and Head of the Department, Department of Environmental Sciences, College of Science and Technology, Andhra University, Visakhapatnam, Andhra Pradesh, India
Published: August 2019

On Earth, among all Natural resources, soils are playing very important vital role for survival of many of living organisms. But insufficiency of the fertile soils are growing day by day to satisfy the requirements of the food, because of pollution, soil erosion, run-off and etc. at one side, Increasing per capita demand because of rapid growing population, increasing living standards conditions and many of such causes poses pressure on natural resources depletion, another side dumping of industrial effluents or wastes, use of various chemicals, agricultural runoffs, sewage wastes, etc. without any prior treatment are decreasing the quality of soil fertility, thereby reducing and getting poor quality food grains. In this quality characteristics of soil at Guntur district, Andhra Pradesh, entitled by collecting surface samples at various locations and horizon of Guntur area. From each horizon of the different profiles soil samples were collected. From the sites of interest surface samples numbering fifty nine were collected randomly in 24 mandals, which covers total region of area. To assess the potentiality of soils (SQI) for irrigation practices various parameters were estimated, parameter named as pH (negative logarithm of hydrogen ion concentration), Electrical Conductivity – EC (dsm-1), Potassium – K ((kgk2oha-1), Phosphorus – P ((KgP2O5ha-1) and also various essential parameters CEC, ESP, etc., were analyzed.
Effect of Soil Non-Uniformity on Scour for Circular Compound Bridge Piers
Authors:   Dept. of Civil Engineering, Student of Bharati Vidyapeeth Deemed to be University College of Engineering, Pune, India., Pandey Abhishek , Nimbalkar P.T. ,   Professor, Dept. of Civil Engineering, Faculty of Bharati Vidyapeeth Deemed to be University College of Engineering, Pune, India.
Published: August 2019

Bridge piers having a varying foundation diameter are known as compound bridge piers. In India for the construction of road and railway bridges circular compound bridge piers are mostly adopted. In past studies it has been concluded that 60-70% of bridge failure occurs because of scour around bridge pier across a river due to flowing water. Most of the past studies were done on the uniform bridge pier and a very few studies has been carried out so far on scour around compound bridge piers. For economical design of bridge pier foundation there is a need to determine the scour depth. In the present study, an experimental investigation has been carried out for computation of time variant change of scour depth for two different models of circular compound bridge piers over non-uniform soil for all possible cases of position of footing with respect to level of the bed, i.e., I. Footing at the level of bed, and II. Footing below the level of bed (1cm, 2cm, 3cm and 4cm) for non-uniform sediments
The Structure Development of Yogurt with Vegetable Ingredients
Authors:   Bashkir State Agrarian University, Ufa, Russia, Kanareikina Svetlana , Kanareikin Vladimir ,   Ufa State Petroleum Technological University, Ufa, Russia, Ganieva Ekaterina ,   Bashkir State Agrarian University, Ufa, Russia; Ufa State Petroleum Technological University, Ufa, Russia, Burakovskaya Nina ,   Omsk State Technical University, Omsk, Russia, Shadrin Maxim ,   Omsk State Technical University, Omsk, Russia, Khalepo Olga ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia; Ural State Agrarian University, Yekaterinburg, Russia, Babaeva Maria ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia; Ural State Agrarian University, Yekaterinburg, Russia, Nikolaeva Natalia ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia; Ural State Agrarian University, Yekaterinburg, Russia, Voskanyan Olga ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia; Ural State Agrarian University, Yekaterinburg, Russia
Published: August 2019

The development of functional foods with specified beneficial properties is one of the main directions in the problem of maintaining and preserving the health of the population. To solve this problem in the diet include products produced using dietary supplements made from natural ingredients. In addition, the problem of creating food with a certain texture made it possible to isolate thickeners and gelling agents food additives that regulate the consistency and form the structure of the product. The department of technology of meat, dairy products and chemistry of the Bashkir State Agrarian University developed two functional combined products, dairy and vegetable yogurt: 1 using dried horse milk and 2 using dried horse milk and vegetable component, pumpkin seed flour, identified their physicochemical properties and the proposed method for studying structure formation in fermented milk products. The study on the example of yoghurt 1 proved that when lactic acid fermentation proceeds, a decrease in the carbohydrate content of the product leads to an increase in its acidity and this causes a change in the consistency of the product. As a result, a ferment with lactic acid bacteria, producing exopolycarbohydrates, dried mare's milk and a vegetable component from pumpkin flour containing pectins, turned out to be good thickeners and gelling agents. All of the above components of yogurt are natural raw materials, so they can be used as safe food additives in the production technology of fermented milk products. In addition, the introduction of dried mare's milk contributes to the correction of the protein composition of the milk mixture, and the use of pumpkin seed flour in the production of yogurt enhances the beneficial properties of yogurt. This research is very relevant from the point of view of developing useful functional products.
Behavior of P-Delta Effect in High- Rise Buildings With and Without Shear Wall
Authors:   M.Tech,* (Ph.D.) (Geotechnical Engineering), Sr. Gr. Assistant Professor, Department of Civil Engineering, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India., Kumar V Phani , Deepthi M. ,   (M.Tech),(Structural Engineering), Post Graduate Student, Department of Civil Engineering, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India, K Saikiran ,   (Structural Engineering), Assistant professor, Department of Civil Engineering, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India., Santhosh R.B.N. ,   (Structural Engineering), Assistant professor, Department of Civil Engineering, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India.
Published: August 2019

The high rise structures are proposed for residential and commercial purposes. They may easily effect by seismic as well as wind loads, so the buildings get deformed and collapsed easily. To avoid these problems we consider p-delta effect in designing. As the number of stories increases p-delta effect becomes very important. The P-Δ effect is relevant in structural engineering problems, especially in civil engineering, where we’re dealing with large structures with proportionally decreasing small moments of inertia as they continue to be extended in absolute height. When designing structures, we may consider that they’re immune to lateral deformation, and may therefore not account for their behaviour when sudden buckling or beam-column-like behaviour is introduced. In this study p- delta (P-Δ) effect on high-rise building studied for the analysis of G+29 RCC framed building and models were done by ETABS2016. Seismic and wind loads are applied to model as per IS-1893 (2002) and IS-875 (PART-III). The displacements, storey drifts, Bending Moments and Shear Forces are compared to the different models by considering with and without P-delta effect and by providing shearwalls at different locations.
Deep Learning and Fuzzy Rule-Based Hybrid Fusion Model for Data Classification
Authors:   Assistant Professor, Department of Computer Science and Engineering at PVP Siddhartha Institute of Technology (PVPSIT),Kanuru, Vijayawada (Andhra Pradesh), India., Ramani Burra Lakshmi , Padmaja Dr. P. ,   Professor, Department of Information Technology at Anil Neerukonda Institute of Technology and Science (ANITS), Visakhapatnam, (Andhra Pradesh), India., Tumuluru Praveen ,   Assistant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Guntur, (Andhra Pradesh), India, Saibaba CH. M. H. ,   Assistant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Guntur, (Andhra Pradesh,) India., Radha Mothukuri ,   Assistant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Guntur, (Andhra Pradesh), India., Prasuna K. ,   Assistant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Guntur, (Andhra Pradesh), India.
Published: August 2019

Data mining is the promising field that attracted the industries to manage huge volumes of data. The most effective and challenging techniques of data mining is data classification. The main intension of this research is to design and develop a data classification strategy based on hybrid fusion model using the deep learning approach, Adaptive Lion Fuzzy System (ALFS), and Robust Grey wolf based Sine Cosine Algorithm based Fuzzy System (RGSCA-FS). The hybrid model consists of three phases: In the first phase, the data is classified using ALFS and the rule base of the fuzzy system is updated by optimally generating the rules using adaptive lion optimization (ALA) from the training data. The second step is the fuzzification process, which converts the scalar values in the training data into fuzzy values with the help of membership function, which is based on Adaptive Genetic Fuzzy System (AGFS). Finally, the classified score of data instances is determined using defuzzification process, which converts the linguistic variable into fuzzy score. In the second phase, the data is classified using Robust Grey wolf based Sine Cosine Algorithm based Fuzzy System (RGSCA-FS), which is used for selecting the optimal fuzzy rules. In the third phase, the data is classified using deep learning networks. The outputs from three phases are fused together using the hybrid fusion model for which the weighed fusion is employed. The performance of the system is validated using three different datasets that are available in UCI machine learning repository. The proposed hybrid model outperforms the existing methods with sensitivity of 0.99, specificity of 0.9350, and accuracy of 0.9411, respectively.
Modelling of Spectrum Handover Scheme using Particle Swarm Intelligence in Cognitive-radio Networks
Authors:   Research Scholar, IT-Department, UIET-PU, Chandigarh, India., Bansal Meha , Garg Dr. Roopali ,   Associate Professor, IT-Department, UIET-PU, Chandigarh, India.
Published: August 2019

Cognitive-radio is a self-adaptive network technology, which helps in detecting idle channels within a spectrum range. Cognitive radio has four functionalities namely Spectrum sensing, decision, sharing and mobility. This research work is in the domain of spectrum mobility. Spectrum mobility deals with motion of unlicensed users in the network. Unlicensed users are the unauthorized users of cognitive radio networks who have lower priority than licensed ones. Major functionality of spectrum mobility is spectrum handover and connection management. In cognitive-radio, the method of switching channels is termed as spectrum handover. Whenever a high priority user appears to occupy its spectrum band, that is already been utilized by a low priority user, spectrum handover takes place. During this process, a lot of handover delay occurs, which results in increasing the total service time of transmission. Total service time of spectrum handover means amount of time required to perform successful handover during spectrum mobility stage in cognitive-radio-networks. To decrease this total service time of spectrum handover we have utilized the concept of Particle Swarm Intelligence and M/G/1 queuing model. The parameters used for the purpose are swarm size, arrival rate, service rate, acceleration coefficients, processing time and channel switching time. Swarm size indicates the number of particles present in a swarm. In this research work, value of swarm size is varied to see its effect on total service time of spectrum handover process. Numerical results demonstrate that by increasing the value of swarm size, total service time decreases.
Impact of Stemming on Telugu Text Classification
Authors:   Department of CSE, CMR College of Engineering & Technology, Hyderabad, India, Swapna Dr. Narla , Subhashini Dr. Peneti ,   Department of CSE, MLRIT, Hyderabad, India, Rani Dr. B Padmaja ,   Department of CSE, JNTUH, Hyderabad, India
Published: August 2019

In Text categorization, Information retrieval and document clustering stemming is absolutely necessary especially for morphological rich languages like Indian. The process of stemming is, reducing the inflected or resultant terms to their stem word, root or origin form. However, stemming is a tricky task - particularly for extremely inflected natural languages having a lot of words for the same normalized word form. In Text classification, stemming tries to cut off details like either suffix or prefix of a word and produce basic word. In this paper, we apply various stemming methods on Telugu text classification and ensure the performance of the classifier is effect by stemming. Telugu is suffix oriented language, so we have performed number of experiments on erratically selected Telugu text documents and finally we conceive that the performance of the classifier is improved.
CFD Analysis of Magnetorheological Fluid Single Valve with an External Magnetic Field
Authors:   Head of Research and Innovation, System Engineering and Energy Laboratory, Universiti Kuala Lumpur – Malaysian Spanish Institute, Kulim, Kedah, Malaysia., Abu Bakar Muhamad Husaini , Mohd-Kamal Mohamad-Syafiq ,   System Engineering and Energy Laboratory, Universiti Kuala Lumpur – Malaysian Spanish Institute, Kulim, Kedah, Malaysia., Samad Zahurin ,   School of Mechanical Engineering, Universiti Sains Malaysia, Nibong Tebal, Pulau Pinang, Malaysia.
Published: August 2019

Magnetorheological fluid (MRF) actuator emerged in the last decade as a potential system to replace electro-hydraulic servo system in precision applications. MRF actuator was control using a valve which is regulated with magnetic field. Because of valve performance relate with flow characteristic inside the valve, knowledge about the flow behaviour when magnetic field is applied was important. Currently analytical method was used to model the valve but limited into simple geometry. Reflect to the need of complex geometry of valve, CFD approached was used in this research work to model the fluid flow with presence of different magnetic strength magnitude as a result CFD model shows a good agreement with experiment with 3% error and the MRF velocity was reduce up to 85% when magnetic field applied. As conclusion, CFD model successfully develop and proven to be used as a tool in analysing the MRF flow.