bluuebunny/crossref_metadata_2025 huggingface dataset:
“Beautiful and New”: The Logic of Complementarity in Hedwig and the Angry Inch
Authors: Beyt Adam
Published: November 2019

This article suggests that reading John Cameron Mitchell’s musical Hedwig and the Angry Inch as a religious classic undermines the logic of complementarity within Catholic theological anthropology, particularly the Theology of the Body of John Paul II. A religious classic, a term coined by theologian David Tracy, describes a work with an “excess of meaning” that offers hope and resistance against a normative social structure. Hedwig resists the hegemonic structure of sexual dimorphism, as represented by the logic of complementarity operative within the Theology of the Body. This theological anthropology proposes a normative framework for human beings as gendered and sexual agents who “complete” each other through heterosexual and monogamous marital acts, reinforcing heterosexist and transphobic bodily norms. The work of Judith Butler helps illuminate the embodied performance of gender that the musical so brilliantly subverts. Hedwig, while toying with gender norms, also undermines the idea of the logic of complementarity—namely, that each person has another “half” that will cause completion, bringing human flourishing. In the title character not finding a version of “completeness” by the end of the show, the musical, thus, offers hope for those who cannot fit into gendered bodily norms.
An Energy Balance Clustering Routing Protocol for Intra-Body Wireless Nanosensor Networks
Authors: Xu Juan , Zhang Yan , Jiang Jiaolong , Kan Jiali
Published: November 2019

Wireless NanoSensor Networks (WNSNs) are a new type of network that combines nanotechnology and sensor networks. Because WNSNs have great application prospects in intra-body health monitoring, biomedicine and damage detection, intra-body Wireless NanoSensor Networks (iWNSNs) have become a new research hotspot. An energy balance clustering routing protocol (EBCR) is proposed for the intra-body nanosensor nodes with low computing and processing capabilities, short communication range and limited energy storage. The protocol reduces the communication load of nano-nodes by adopting a new hierarchical clustering method. The nano-nodes in the cluster can transmit data directly to the cluster head nodes by one-hop, and the cluster head nodes can transmit data to the nano control node by multi-hop routing among themselves. Furthermore, there is a tradeoff between distance and channel capacity when choosing the next hop node in order to reduce energy consumption while ensuring successful data packet transmission. The simulation results show that the protocol has great advantages in balancing energy consumption, prolonging network lifetime and ensuring data packet transmission success rate. It can be seen that EBCR protocol can be used as an effective routing scheme for iWNSNs.
Novel PDMS-Based Sensor System for MPWM Measurements of Picoliter Volumes in Microfluidic Devices
Authors: Ardeleanu Mihăiţă Nicolae , Popescu Ileana Nicoleta , Udroiu Iulian Nicolae , Diaconu Emil Mihai , Mihai Simona , Lungu Emil , Alhalaili Badriyah , Vidu Ruxandra
Published: November 2019

In order for automatic microinjection to serve biomedical and genetic research, we have designed and manufactured a PDMS-based sensor with a circular section channel using the microwire molding technique. For the very precise control of microfluidic transport, we developed a microfluidic pulse width modulation system (MPWM) for automatic microinjections at a picoliter level. By adding a computer-aided detection and tracking of fluid-specific elements in the microfluidic circuit, the PDMS microchannel sensor became the basic element in the automatic control of the microinjection sensor. With the PDMS microinjection sensor, we precise measured microfluidic volumes under visual detection, assisted by very precise computer equipment (with precision below 1 μm) based on image processing. The calibration of the MPWM system was performed to increase the reproducibility of the results and to detect and measure microfluidic volumes. The novel PDMS-based sensor system for MPWM measurements of microfluidic volumes contributes to the advancement of intelligent control methods and techniques, which could lead to new developments in the design, control, and in applications of real-time intelligent sensor system control.
Étude expérimentale du fractionnement des éléments Rb, Cs, Sr et Ba entre feldspaths alcalins, solutions hydrothermales et liquides silicatés dans le système Q.Ab.Or.H2O à 2 kbar entre 700 et 800 °C
Authors: Carron Jean-Paul , Lagache Martine
Published: November 2019

The fractionation of the trace elements Rb, Cs, Sr, Ba was measured by the radiotracers technique, between hydrothermal solution, Ab . Or feldspars and silicate melts ranging from Q₄₀Ab₆₀ to Q₄₀Or₆₀. The partition coefficient D between melts and solutions are close to the unit, and they are nearly independent from the composition. The values of D between crystals and solution are quite different from the unit, and are strongly dependent on the feldspar composition : alkali earth elements enter preferably the minerals, while alkali elements remain in the solutions. Some simplifications make it possible to calculate the fractionation coefficient between solids and melt, in the range of temperatures 700-800 °C, and for normative quartz values between 30 % and 40 %. The extreme values of D may reach 250 (D[Cs]melt/Ab) and 0.01 (D[Sr]melt/Or). For two liquids close to the Q.Ab and Q.Or sides of the Q.Ab.Or triangle, we discuss the variation of the bulk partition coefficient during a fractional crystallisation process, and the evolution of the trace elements contents in the residual melts.
Présence d'eskolaïte dans les alluvions stannifères de la Chapada Diamantina (Bahia˗Brésil)
Authors: Cassedanne Jacques , Cassedanne Jeannine O.
Published: November 2019

The Chapada Diamantina (Bahia Central, Brazil) is a large quartzitic mountain group with a basal sequence of mineralized acid lavas (cassiterite and bahianite) intruted by basic and ultrabasic rocks. Eskolaïte is a rare component of the alluvium originated from the erosion of these different rocks. A short description of the eskolaïte is given as the heavy mineral association.
CRIBELLOPSIS MOULLADEI (SAINT-MARC, 1974) NOV. COMB. (FORAMINIFERIDA, ORBITOLINIDAE): AN ALBIAN MARKER TAXON OF THE SOUTHERN NEOTETHYSIAN MARGIN
Authors: Schlagintweit Felix
Published: November 2019

The species Simplorbitolina moulladei described by Saint-Marc, 1974 from the middle Albian of Lebanon is taxonomically revised and assigned to the genus Cribellopsis Arnaud-Vanneau, 1980. Both, Paracoskinolina prestati Delmas & Peybernès, 1981 (middle-upper Albian of Somalia) and Cribellopsis arnaudae Chiocchini, 1989 (Albian of Italy) are considered as subjective junior synonyms. Cribellopsis moulladei is regarded a taxon restricted to the southern (here: "African") Neotethysian margin. All other representatives of the genus Cribellopsis were reported from the northern Neotethysian margin.
Pengaruh Rasio Keuangan Terhadap Harga Saham Industri Otomotif dan Komponen di Bursa Efek Indonesia
Authors: Permatasari Sheila Silvia , Mukaram Mukaram
Published: November 2019

This study aims to asses influence the financial ratios of stock prices on issuers of automotive sector companies and components listed on the Indonesia Stock Exchange period 2011-2016. This study is a documentation study, where the data used is a secondary data obtained from company reports that have been available. The population in this research is all companies of automotive sector and components listed in IDX and reporting company's finance in period 2011-2016. From a total of 13 companies, 12 companies were taken as samples because one company did not meet the requirements of the financial statements for the period in this study. Data analysis was done by multiple linear regression analysis and hypothesis test by using t test and F test.
Pengaruh Konflik Pekerjaan-Keluarga Terhadap Kepuasan Kerja di Industri Perbankan
Authors: Yasyifa Afina Azka , Raharso Sri
Published: November 2019

The current business organization is important to review the conflict between work and family. It can impact on the survival of employees in business organizations. Work-family conflicts can be one reason employee dissatisfaction with work. The relationship between work-family conflict and job satisfaction. Based on research conducted on 118 respondents employees a bank in Bandung, obtained results that show there is a relationship between work family conflict with job satisfaction. This is evidenced by the results of correlation analysis between work family conflict variables with job satisfaction included in the negative and significant relationship. Furthermore, work family conflict also has a negative effect on job satisfaction in the regression analysis done.
Analisis Algoritma Shannon-Fano dalam Kompresi Data Pengajuan Proposal Skripsi Mahasiswa STMIK CIC Cirebon
Authors: Nas Chairun , Ilham Wanda , Syafrinal Ilwan
Published: November 2019

Skripsi merupakan tantangan terakhir bagi seorang mahasiswa dalam mencapai gelar sarjana. Dalam proses nya, mahasiswa perlu mengajukan proposal tentang skripsi yang akan dikerjakan. Sebelumnya pengajuan proposal skripsi masih dilakukan secara manual, sehingga perlu dikembangkan sebuah sistem agar pengajuan proposal skripsi dapat dilakukan secara online. Namun permasalahan yang terjadi, proposal yang diajukan diberi batasan panjang karakter karena keterbatasan ruang penyimpanan. Hal ini mengakibatkan proposal yang di ajukan mengalami pemotongan karakter sehingga isi dari proposal yang diajukan tidak jelas. Untuk mengatasi masalah tersebut, maka perlu dilakukan analisis agar dapat melakukan kompresi terhadap data proposal. Analisis yang dilakukan dalam kompresi data proposal tersebut adalah dengan menggunakan algoritma Shannon-Fano. Algoritma Shannon-fano melakukan pemampatan data terhadap karakter sehingga dapat menekan kapasitas data. Pada pengujian, data dengan ukuran 69 byte, dilakukan kompresi dengan algoritma Shannon-Fano sehingga ukuran data menjadi 35 byte dengan rasio kompresi sebear 48,98%. Maka dengan algoritma Shannon-Fano tersebut, telah dapat melakukan kompresi terhadap data proposal pengajuan skripsi.
Peningkatkan Hasil Belajar Matematika Siswa Kelas XI TPH SMK Negeri 1 Tanah Miring Melalui Metode Pemberian Tugas
Authors: Heryati Heryati , Dadi Oswaldus
Published: November 2019

Penelitian ini bertujuan untuk mengetahui hasil belajar matematika melalui metode pemberian tugas pada siswa kelas XI TPH SMK negeri 1 Tanah Miring. Penelitian ini merupakan penelitian tindakan kelas dan penelitian ini  dilakukan sebanyak dua siklus dengan setiap siklus terdapat 4  kali pertemuan. Subyek dalam penelitian ini terdiri dari 10 siswa dimana 4 siswa dan 6 siswi di kelas XI TPH SMK Negeri 1 Tanah Miring. Teknik pengumpulan data yang digunakan adalah tes hasil belajar siswa dan nontes yaitu observasi keterlaksanaan pembelajaran  dan observasi keaktifan belajar. Hasil penelitian yang diperoleh  yaitu tes hasil belajar  siswa pada siklus I adalah 60 % ketuntasan belajar klasikal dan siklus 2  menjadi 70 % ketuntasan belajar klasikan,  pada siklus I keaktifan  belajar siswa adalah 65 % berada pada kategori aktif, sedangkan pada siklus II meningkat menjadi 84% berada pada kategori aktif dan sangat aktif. Berdasarkan hasil tersebut dapat dikatakan bahwa metode pemberian tugas  dapat meningkatkan hasil belajar matematika siswa kelas XI TPH SMK Negeri 1 Tanah Miring.
Formation of the Green Segment of the National Financial Market: Experience of Countries with a Significant Share of the Commodity Economy
Authors: Yakovlev I. A.
Published: November 2019

The presented study examines the experience of integration of sustainable development principles into the national strategies of countries with a significant share of the commodity economy.Aim. The study aims to generalize the experience of countries in terms of measures aimed at the formation of conditions for the development of the green segment of the national financial market.Tasks. The authors compare initiatives in the field of sustainable development and green investment implemented by different countries and their approaches to the formation and development of the green segment of the national financial market.Methods. This study uses general scientific methods of cognition to examine the specific features of the approach to the funding of sustainable development and green economic growth implemented by the countries.Results. The authors examine the issues of the integration of sustainable development principles into national strategies and policies through the example of five countries. The following aspects are analyzed: comparison of the key indicators of socio-economic development; actions taken to reorientate the commodity economy; implemented strategies for the formation of the green segment of the economy; the achieved results. The analysis generalizes the countries’ approaches to the reorientation of economic entities toward sustainable activities; describes the selected directions for the formation of funding sources for sustainable activities and national solutions in financial market regulation; systematizes market tools for the funding of green investment and determines the configuration of the green segment of the national financial market in the examined countries.Conclusions. The examined experience of several countries shows that the government plays an important role in the formation of the green segment of the national financial market, and there is a variety of approaches to sustainable development and the model of green economic growth based on it. The countries have different priorities, including social and environmental factors on the national agenda. A wide range of tools are used to reorientate toward sustainable activities, but the key problem for all countries lies in the formation of funding sources for sustainable activities. The countries are essentially reformatting the financial landscape, attempting to transfer the burden of funding of economic development from the government to the market.
Neuron Connectivity and Thickness Analysis of Brain for Autism Spectrum Disorder to Improve Speed and Accuracy.
Authors:   ResearchScholar, Bharathiar University, Coimbatore, Tamil Nadu, India, Lalitha R. , Tamilselvi Dr. J. Jebamalar ,   Research Guide & Professor,Department of CSE,Jaya Engineering College,Chennai, Tamil Nadu, India
Published: November 2019

Neuronal Connectivity is learning from the intelligence to enhance the knowledge of our computing devices, certain, namely recognition, locomotion, or objective recognition. Such synthetic neural networks have at last being used after understood patterns on talent recreation between Amygdala imaging Scientists studied the talent for 150 years, trying to link the intelligence along behavior. Such studies have old strategies beyond microscopes according to inserting genes within existing cells. This paper interface device, such so cochlear implants then implanted electrodes according to allow Amygdala Images according to pace devices outside perform repair lost applications to individuals. Neurons firing round 5 in imitation of 50 instances a second speed Signals in a tent about a second regular neuron makes 10000 connections including 5000 trillion synapses. The reliability propriety over susen algorithms that new method 3D pose estimation in Drosophila the usage on accuracy with speed ratio then statistics dividing in accordance with permit counterpart throughout analysis NIAK for UCI Dataset Autism Screening Adult(ASA) better rate of accuracy 95.41% and speed 91.72%.
Assessment of Affecting Factors for Higher Education Admission Process
Authors:   Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, Charotar University of Science and Technology, Changa, Gujarat. India., Patel Hardik I. , Patel Chirag ,   Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, Charotar University of Science and Technology, Changa, Gujarat. India., Trivedi Arpit ,   Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, Charotar University of Science and Technology, Changa, Gujarat. India.
Published: November 2019

Education is the most important aspect of human life. Today, many streams are available to study. It has created a huge opportunity for a student to enroll in any course by fulfilling definite criteria. The courses are managed by various institutes, which are affiliated with particular University. In some courses, students have the choice to enroll without fulfilling any academic criteria. Some students are choosy in joining particular institute or course. Their choice for University or Institute depends upon specific parameters they might have predefined. In this paper, we have studied various parameters, which can influence the decision of a student to take admission in a particular course or institute. To extract essential parameters, we have conducted a survey among students who are studying in different courses and institutes. It is observed from the survey that Job Placement and Good Teaching are very effective parameters in influencing student admission decision-making process. It also reveals that sometimes, the institute is not important when a student is interested in a particular course. This research also guides the institutes or Universities to work upon such parameters to increase the enrollment of students in different courses. To validate this research, the survey from 208 students representing different institutes of India, is collected and analyzed. After analyzing the data collected from the survey, the influential parameters are decided. A graph-based approach is applied to identify the relationship between the varieties of parameters. The results obtained from the graph justify that individual parameters do not affect at large scale in student admission decision-making process while the association of multiple parameters may influence their admission decision-making process.
Rutting and Moisture Damage Evaluation of Warm Mix Asphalt Incorporating POFA Modified Bitumen
Authors:   School of Civil Engineering, Universiti Teknologi Malaysia, Abdulrahman Suleiman , Hainin Mohd Rosli ,   School of Civil Engineering, Universiti Teknologi Malaysia., Satar Mohd Khairul Idham Mohd ,   School of Civil Engineering, Universiti Teknologi Malaysia., Hassan Norhidayah Abdul ,   School of Civil Engineering, Universiti Teknologi Malaysia, Usman Aliyu ,   Department of Civil and Environmental Engineering, Universiti Teknologi Petronas. Seri Iskandar, Perak
Published: November 2019

The unwanted disposal Palm Oil Fuel Ash (POFA) can be minimised through its application in road construction. Available literatures have shown that POFA improves the performance of hot mix asphalt (HMA), however, its application in warm mix asphalt (WMA) remains unexplored. This study was carried out to investigate the performance of WMA with POFA modified bitumen. In this study, Five percent POFA and 0.75% Evotherm is blended with 60/70 PEN grade bitumen to produce warm POFA modified bitumen (B3). The B3 binder is subjected Fourier Transform Infrared spectroscopy (FTIR), Atomic Force Microscopy (AFM), and Contact angle measurements to understand the effect of this modification at microstructural level. Also, the binder is used in preparing dense graded asphalt concrete (AC14) at 140/130 ℃ mixing/compaction temperatures rspectively. Mixture performance tests such as Marshall flow and stability, dynamic creep, Asphalt Pavement Analyser (APA), tensile strength ratio, and boiling water tests were used to examine the resistance of B3 binder to rutting and moisture damage. Results from dynamic creep and APA test shows that the WMA mixtures possess 30% improved rutting resistance than the conventional HMA. On the contrary, the WMA sample parade lower resistance to moisture damage by 10% as revealed by the tensile strength ratio test. All the tested samples satisfied the specification limits for AC14 mixture, thus alleviating any concern regarding the moisture damage vulnerability of WMA mixtures.
Temperature Effect and Battery Charging Characteristics Analysis Based on Charging C-Rate
Authors:   Department of Mechatronics Engineering, International Islamic University Malaysia., Mollik* Md. Sazib , Rashid M M ,   Department of Mechatronics Engineering, International Islamic University Malaysia., Rahman A ,   Department of Mechanical Engineering, International Islamic University Malaysia., Hasan A ,   Department of Mechanical Engineering, International Islamic University Malaysia.
Published: November 2019

Developing fast charging proprieties for LiFePo4 battery is a key issue for a wider deployment of EV. The main drawback of LiFePo4 battery charging is overcharge, overcurrent and high temperature which affects longevity, efficiency, and battery life cycle. In this research, lithium iron phosphate (LiFePo4) battery is investigated for fast, and rapid charging with CC-CV principle. MATLAB/Simulink based custom-designed tool was developed. A dynamic model of lithium-ion phosphate battery is proposed in this research by considering the significant temperature and capacity fading effects. Results have shown that the LiFePo4 battery can be used for fast charging up to 100% and rapid charging up to 85% by maintaining the condition for lifespan of the battery and to shorten the charging time. The simulation results have been showed that, the constructed model can really represent the dynamic performance feature of the lithium-ion battery. The modified model can assess the efficiency of battery execution based on charging C-rate conditions.
Automatically Prospecting Feature for Queries from Their Search Impact
Authors:   Professor, B V C Engineering College, Odalarevu, East Godavari, (A.P.), India., Nallam Dr. Krishnaiah , Bhavani B. Ganga ,   Assistant Professor, B V C Engineering College, Odalarevu, East Godavari, AP, India., Murthy B S N ,   Assistant Professor, B V C Engineering College, Odalarevu, East Godavari, AP, India., Kumar G.L.N.V.S ,   Assistant Professor, BVC Institute of Technology and Science, East Godavari, AP, India.
Published: November 2019

We recommend that you compile the duplicate lists in the top search engine results to track the aspects of the query and implement a method known as QDMiner. More specifically, QDMiner extracts free text lists, HTML tags and re-regions the top search engine results, combining them with groups according to the products they contain, then line up the blocks and products, depending on how the conversation and products are included in the best results. The recommended approach is generic and does not depend on understanding any area. The main purpose of the extraction side differs from the query recommendations. We recommend a structured solution, described as QDMiner, to trace query aspects immediately by removing and grouping repetitive lists in free text results and HTML tags and repeating search engines. We continue to evaluate the support of the list and discover better search queries by looking for exact similarities between menus and penalizing duplicate lists. Experimental results reveal that there are many listings available and QDMiner can find useful queries. The proposed approach is general and does not depend on understanding a particular area. As a result, it can handle open-domain queries. The query supports. Instead of a static system for your problems, we extract the sides of the uploaded document above each query.
Nonlinear Behavior of Building with Varying Percentages of Slab Opening
Authors:   Master of technology in Structural engineering, Department of civil engineering, Anurag group of institutions, Venkatapur, Ghatkesar, Medchal, India., Ali Syed Haneef , Vimala Dr. A. ,   Professor, Department of civil engineering, Anurag group of institutions, Venkatapur, Ghatkesar, Medcha, India.
Published: November 2019

The work describes about irregular plan geometric forms that are more in metro cities. Irregularities are not avoidable in construction of buildings. In present scenario many buildings have irregular configurations both in elevation and plan. Now a day’s openings in the floors are common for many reasons like stair cases, lighting architectural etc. The present study focuses on the behavior of 10 storey reinforced concrete buildings under seismic zone-v, the plan dimensions is taken as 28 m x 28 m. The plan irregularities such as openings in slab with varying percentages is taken in this study. Study is done on various plan configuration buildings and the action of structural diaphragm on its performance during earthquake is studied. Pushover analysis is performed by using ETABS software, for present work five models are studied 1) building without opening in slab 2) plan irregular building with 10% opening in slab 3) plan irregular building with 20% opening in slab 4) plan irregular building with 30% opening in slab 5) plan irregular building with 40% opening in slab. Output from software consisting of Pushover curve and hinge formation results of all five models which are presented. Plan irregularity find better structural system solution such as in 20% opening shows better base shear.
Quality Optimization by Evaluating Physico-Mechanical Properties of Industrial Acid Wash, Cool Dyeing and Dip Dyeing Processes on Knitted Garment
Authors:   Department of Textile Engineering, Khulna University of Engineering & Technology, Khulna-9203, Bangladesh, Parvez* Md. Shohan , Rahman Md. Ishtiaque ,   Department of Textile Engineering, Khulna University of Engineering & Technology, Khulna-9203, Bangladesh, Islam Tarikul ,   Department of Textile Engineering, Jashore University of Science and Technology, Jashore-7408, Bangladesh., Ahmed S.M. Razwan ,   Square Denims Limited (Washing Unit), Masterbari, Valuka, Mymensing, Bangladesh.
Published: November 2019

Industrial garment washing and garment dyeing are currently taking over fashion trends. At present, these processes are not only confined to woven garments but also applied over knitted garments. Nevertheless, prolonged washing time, use of different chemicals during the washing and dyeing procedure affects the physical and mechanical performance of the garment. This is ultimately affecting the quality of the finished garments and resulting in more fabric wastage during these treatments. In this study, industrial garment finishing processes like Acid wash, Cool Dyeing, Dip Dyeing process were applied on 100% Cotton Slub Single Jersey (160 GSM) knitted T-Shirt. The aim of this study is to determine the effects of industrial Acid washing and cool-dip dyeing on physico-mechanical properties of knitted garments. To evaluate the washing and dyeing effects, changes in fabric weight, changes in dimension, bursting strength, dry and wet rubbing fastness, color fastness to perspiration, pilling and washing tests were performed. Experimental data showed that GSM increased for Acid washed garment but dimension change, color fastness to washing, rubbing, bursting strength and perspiration decreases significantly in comparison with Cool and Dip dyeing.
UMN E-Complaint Application with Automatic Classification Feature
Authors:   Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia., Ferdina Vannia , Hansun Seng ,   Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia., Kristanda Marcel Bonar ,   Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia.
Published: November 2019

In university, students’ complaints about the services provided are essential things to note because it could lead to higher student transfer if not appropriately handled. In Universitas Multimedia Nusantara (UMN), students can express their complaints through Dewan Keluarga Besar Mahasiswa (DKBM) UMN. By technology development, an online complaint submission system can be applied at UMN. A method that can be used in supporting efficient complaints processing is by using automated classification system since it can save both time and human resources. UMN e-complaints application with automated complaints classification feature was built using the CodeIgniter framework. The evaluation of the e-complaint application was conducted by using the USE Questionnaire. The results show that both DKBM UMN and students agree that the application is useful, easy to use, easy to learn, and satisfying.
Optimization of Age Hardening Behaviour of AA2024 Hybrid Composite Reinforced with Red Mud and Fly Ash through RSM
Authors:   Department of Mechanical Engineering, Visakha Institute of Engineering and Technology, Visakhapatnam, India., karuna* G. Siva , Babu P. Suresh ,   Department of Mechanical Engineering, Maha Veer Institute of Science and Technology, Hyderabad, India
Published: November 2019

Hybrid AA2024 Metal Matrix composite find explicit application, so important factors like Hardness, lightweight is considered and hybrid composite was synthesized by stir casting route. In this investigation, the effects of age hardening on Hardness of AA2024 reinforced with industrial wastes is measured by using a Vickers hardness test and the influence of different process parameters are studied using Design Expert. A Response Surface Methodology is an effective technique used to observe the impact of age hardening parameters and their interconnection on surface hardness of the prepared hybrid AA2024 composite. A mathematical model was created to optimize the weight percentage of reinforcement and artificial ageing process parameters for maximum Hardness. Adequacy and lack of fit of the developed model were checked using the Analysis of variance Technique. Hardness is taken as the response and optimum parameters are obtained by using the quadratic model. Based on the results, it can be perceived that the weight percentage of Red mud, ageing temperature and ageing time has shown a notable effect on the response. For a specifically optimized parameter, the hardness is improved and it was observed that ageing temperature is the most influencing factor based on the RSM. The optimized parameters for the desired response are Ageing Temperature is 198.87ᵒC, Ageing time is 6.82884 hours, and Red mud wt % is 4.2865 respectively. A confirmation test is carried out with the optimized parameters experimentally and its error is less than the 5 % which shows good results with RSM. Surface morphological studies are carried for the optimized Age Hardened hybrid composite and it showed the uniform distribution of reinforcements in the matrix. Because of the increased hardness, these hybrid composite would perceive real time applications like Orthopaedic braces, aircraft structures and manufacturing crew machine products.
Classification of Chronic Obstructive Pulmonary Disease (COPD) using Gabor Filter With SVM Classifier
Authors:   Research Scholar, Department of Computer Science and Engineering, Shri Venkateshwara University, Gajraula, Amroha, Uttar Pradesh, India., Porkodi* V. , Karuppusamy Dr. S. Anbu ,   Professor, Department of Electronics and Communication Engineering, Excel Engineering College, Namakkal, Tamilnadu, India.
Published: November 2019

In the field of medical diagnosis, early detection of COPD symptoms is difficult. The use of predictive tests leads to the treatment of COPD and also helps to identify signs of COPD early. Therefore, we present in this paper a feature extraction method for the structural representation of COPD images using the Gabor Filter. In addition, we train and evaluate COPD extracted function or category with SVM classification. The results show that the proposed method can be more accurate, more flexible, and more reliable. This approach is well adapted for early diagnosis of COPD.
Time Series Data Prediction using Elman Recurrent Neural Network on Tourist Visits in Tanah Lot Tourism Object
Authors:   Informatics Program, STMIK STIKOM Indonesia, Bali, Indonesia., Sugiartawan Putu , Hartati* Sri ,   Department of Computer Science and Electronics Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Published: November 2019

The prediction of time series data is a forecast using the analysis of a relationship pattern between what will be predicted (prediction) and the time variable. The prediction process using the recurrent neural network (RNN) model could recognize and learn the data pattern of time series, but the presence of fluctuations in data makes the introduction of data patterns difficult to be learned. The data used for forecasting are tourist visits to Tanah Lot Bali tourist attraction for 10 years (2008-2017). The training process uses the RNN method on high fluctuating data, which requires a relatively long time in recognizing and studying the data patterns. Modification of the RNN method on learning rate and momentum by using dynamic values, can shorten learning time. The results showed the learning time using the RNN dynamic value, smaller than the variants of the RNN method such as the RNN Elman, Jordan RNN, Fully RNN, LSTM and the feedforward method (Backpropagation). The resulting error value is 0,05105 MSE. This value is smaller than the Fully RNN, Jordan RNN, LSTM and Feedforward methods. The elman method has the shortest training time among other models. The purpose of this research is to make a prediction design consisting of sliding windows techniques, training with neural network models and validation of results with k-fold cross-validation.
Online Health Information Seeking and Information Quality: A Preliminary Contemplation
Authors:   Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Kampus Besut, 22200 Besut Terengganu., Alwi Sharifah Sumayyah Engku , Murad Masrah Azrifah Azmi ,   Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor., Abdullah Salfarina ,   Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor., Kamaruddin Azrina ,   Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor.
Published: November 2019

The healthcare industry has undergone a rapid change as the internet shows latent abilities to assist in information seeking and decision making regarding self-care and health-related issues. Therefore, it is essential to discern issues concerning the quality of the information and the system. Thus, this paper aims to explore the current issues in information quality, system quality and health risks within the context of online health information seeking. First, a literature review is conducted to gather information about the issues in detail. Second, a preliminary study is implemented to clarify the existence of the research problem in the real world. Relying on online survey method, the data were collected from doctors, health professionals, nurses, and consumers. The resultsfound that the main issue in information quality is the consumers' lack of ability to distinguish quality health information, whereas, the lack of system integration is the major problem associated with system quality. 88.6% of the respondents had underlined that health information could be misleading as a vital health risk. This study is a significant addition to the literature, in that it confirms the impacts of information quality, system quality and health risks on consumers’ behavior in health information seeking while using e-health websites.
Land Readjustment as A Technique of Urban Land Management: -A Case of Aya Nagar, New Delhi
Authors:   Assistant Professor at the Department of Architecture, NIT Patna., Kumari Ar. Supriya , Kumar Ajay ,   Assistant Professor in Department of Architecture, NIT Patna, Kumar Ravish ,   PhD, National Institute of Technology Patna, Bihar India
Published: November 2019

Land management reflect the meaning of the nation's assets and this executes the appropriate land policy by means of land organization. Moreover, it in like manner includes not just the standard organization of resources and land, yet in addition a chance to show a long haul system for the future. As respects to this point, land management is an essential action focusing on sustainable land use. Under these conditions, as for appropriate land policy of state, nearby specialists must build up some effective land acquisition methodologies for new developed zones as quickly as time permits in light of the fact that there is a dire requirement for urban land for public purposes, for example, streets, lodging, schools, clinics, parks, markets, and other public facilities as well as their amenities. Land reallocation extremely old which drawing interest in worldwide as a method for accomplishing arranged, impartial and proficient development. Different degrees of progress and degrees of usage have been accounted for just as traps and snags, a portion of the last being basic in as well as experienced by more than one nation alone. This training has been embraced and adjusted by different nations so as to oblige contrasts in both lawful structures and open private connections. This paper will share how to land esteem evaluation joined with property size was utilized as an appropriation driver, together with an all-inclusive and free property valuation device. And reason for selecting the study area because it is an unauthorized colony and the area is needed for readjustment it the locality which is placed with the brownfield as well as a green field. And these fields resolve the problem of an unauthorized colony with the help of Land readjustment.
Optimizing Interaction Parameters Of Various Thermodynamics Models using MATLAB To Estimate Activity Coefficients Of Azeotropic Mixtures
Authors:   Assistant Professor in Chemical Engineering Department at Thapar Institute of Engineering & Technology, Patiala, India, Singh Parminder , Sharma Puja ,   Ph. D. in Chemical Engineering at Energy Research Centre, Panjab University, Chandigarh
Published: November 2019

The calculation of the liquid-vapor phase equilibrium conditions in multicomponent mixtures is a subject of general interest for engineering. So in this article, interaction parameters of various thermodynamics models are optimized using MATLAB and the vapor-liquid equilibrium conditions are estimated through the application of the modified Raoult’s equation. Activity coefficients of azeotropic mixtures are also estimated. The application of conventional models is restricted for those systems that exhibit irregular behavior, that is, they form azeotropic. In these cases, the validity of these models is limited since the experimental data is not satisfactorily explained. The UNIFAC model completely explains the experimental data of non-ideal systems quite well.
Design and Implementation of Message Communication to Control Traffic Flow in Vehicular Networks
Authors:   Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India., Mathi* Senthilkumar , Joseph Eric ,   Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India., S Dharini ,   Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India., V Mohan Karthik ,   Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India., S Harishkiran ,   Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India.
Published: November 2019

Nowadays on the road, the number of vehicles has been increasing rapidly. The road traffic congestions are posturing severe hitches owing to the inadequate ability of road networks and irregular on-route procedures in most of the towns and ensuing in a substantial number of losses. To address these problems, advanced traffic monitoring methods are being commonly used in major towns. Nevertheless, owing to increasing traffic on roads, additional methods remain desired to avoid traffic bottlenecks. The emergent of vehicle communication technologies, and particularly vehicle to vehicle and vehicle to infrastructure would be of great support. These technologies help in improving the ride duration of the traveller and alleviating the congestion problems in road traffic. The vehicles could communicate with each other and thus the traveller can be alerted about the vehicles around him. Therefore, this paper explores the message passing mechanisms between vehicles that collaboratively determine the optimal speed of the approaching vehicles and other suitable actions to take on to crossroad junctures with least delays but eventually evading stoppings. This exploration helps in achieving a substantial improvement in terms of the reduction in the travellers’ average trip time.
Prediction of Type 1 Diabetes Mellitus using Datamining Techniques
Authors:   Assistant Professor, Department of Computer Science, A.V.V.M Sri Pushpam College, Poondi., Saminathan* Dr. K.
Published: November 2019

Type1 diabetes is a sickness occurs when your immune system fighting against infection, affects and erode the insulin generating beta cells of the pancreas. In general, when the blood sugar stage increases, the pancreas makes more insulin. Insulin helps to go sugar out of the blood so it can be used for liveliness. Type 1 diabetes occurs due to the immune system which affects cells in the pancreas that make insulin. The pancreas cannot make adequate insulin, so the blood sugar level continues to increase. According to the children history of type 1 diabetes may enhance risk of their life. Type 1 diabetes cannot be cured, but it can be controlled and managed. In this study we use Naive Bayes, linear regression and k-means algorithm for data analysis and prediction. It predicts the diabetes affected children with maximum level of accuracy 96% by using of data mining algorithms.
A Fuzzy Mathematical Model for the Parathyroid Hormone Measurements using Frechet Distribution
Authors:   Assistant Professor, Department of Mathematics, A. V. V. M. Sri Pushpam College, Poondi, Thanjavur (Dt), Tamilnadu, India., Venkatesh Dr. A. , Prakasam Prof. S. ,   Assistant Professor, Department of Mathematics, A. V. V. M. Sri Pushpam College, Poondi, Thanjavur (Dt), Tamilnadu, India.
Published: November 2019

In this paper, a fuzzy mathematical model using Frechet distribution was developed and its survival rate function and hazard rate function are used to find the usefulness of a rapid immunometric assay for intraoperative parathyroid hormone measurements.
Nonlinear Reduced Order Model for Aeroelastic Static Deformations of Cantilevered Rectangular High Aspect Ratio Wing Model
Authors:   Department of Aerospace, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia, Chandrasegaran Thinesh , Harmin* Dr.Mohammad Yazdi ,   Department of Aerospace, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia, Rosly Nor Asyikin binti ,   Department of Aerospace, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia
Published: November 2019

The paper is motivated by the increasing interest in the use of high aspect ratio (HAR) wings to utilize its aerodynamic properties to gain better endurance. Nevertheless, the drawback of the issue is that with increment in the aspect ratio of the wing, the geometric nonlinearity gains more significance hence the linear solution is no longer acceptable. Even though, a number of nonlinear solution package are available in the market, but the solution is a very time consuming process. Hence, to help reduce the complexity of the nonlinear aeroelastic analysis, a Combined Model/Finite Element (CMFE) technique is employed to develop a Nonlinear Reduced Order Model (NROM) which describe the nonlinearity of the HAR wing from a solution of nonlinear static analysis for a range of prescribed loading cases. Three loading types were considered for the production of the NROM of which the force subjected to the wing model was normalized to follow the normal mode of the wing model. The three loading types are of the first bending mode, the first torsional mode and a combination of the first bending and torsional modes. The NROM equations are then developed utilizing the backward regression method. In order to verify the NROM equation accuracy with respect to the results obtained from the finite element analysis (FEA) software, the comparisons are made in terms of mean error and standard deviation of the error. The results indicate the NROM developed using a combination of the first bending mode and first torsional mode of the wing model has better accuracy than the NROM developed with the modes individually. The NROM also portrays greater accuracy when developed using the data due to the load from the first bending and the first torsional mode.
Identifying the Perceptual Qualities of a Heritage Precinct - Entrance Gateway (Rajagopuram)
Authors:   Research Scholar, Department of Architecture, Periyar Maniammai Institute of Science and Technology, Thanjavur, Yogaprita* G. , Kumar Dr. Senthamil ,   Professor, Department of Civil Engineering, Periyar Maniammai Institute of Science and Technology, Thanjavur
Published: November 2019

Existence of a heritage / historical structure is the one that adds meaning to urban or rural space. The perceptual quality of the structure enhances the aesthetic sense to the settings or place. The aesthetic sense makes the place, a visual appealing entity with augment of identity. It develops a sign and symbol to the place. Without that, the meaning is lost, identity is destroyed and placelessness is formed. Urbanization and globalization always concentrate more on development, without understanding the basic meaning and cultural heritage of any built environment with its tangible and intangible aspects. This paper explores the ideas and thought process of the architects, urban design theorists, and psychologist in considering perceptual qualities of a structure and it turns in relation with the feature of a Dravidian style Rajagopuram that acts as an entrance gate way to a heritage precinct .
Blended Learning: An Effective Tool to Teach Presentation Skills
Authors:   Department of Languages, Hindustan Institute of Technology and Science, Chennai, India, Joseph Sonu , Joy Sherine ,   Department of Languages, Hindustan Institute of Technology and Science, Chennai, India
Published: November 2019

Higher education in the past decade in India has been trying to evolve into a world of actual real time learning wherein institutions have been encouraged to delve into practicing new teaching paradigms and methodologies. This transformation comes in the wake of the end consumer of technical institutions: the industry, wanting a more creative, innovative, thinking, strongly communicative workforce. Therefore, looking for a more individualistic, change-oriented and opinionated individual. The age old method of lecture or face to face interaction does not become irrelevant but needs to be in semblance with the present environment of learning and teaching. In today’s world technology has a definitive part in the lives of students be it in the classroom or outside therefore the teaching plans need to have technology and learners need to be adept in them for technology based skill is a valid and mandatory industry skill (Pearson & Thomas, 2002). In coming years as learners and the faculty are going to use and create a semblance of technology it is bound to grow more in the classroom as learning tools. (Dahlstrom, Walker, & Dziuban, 2013). The paper is a study on engineering students following the strict timeline of the academic calendar, to deduce if it is an achievable target to develop student interest and level up their performance in a sustained and consistent way.