bluuebunny/crossref_metadata_2025 huggingface dataset:
Correlação entre Leishmaniose Visceral e Indicadores Socioeconômicos
Authors: Araújo Willian De Souza , De Freitas Neta Maria Stella Batista , Teixeira Victor Jaques Cruz Leite , Silva Neto João Antônio E , Monteiro Marcelo Alves , Alves Jamys Willian Lopes , Cândido Estelita Lima , Firmino Paulo Renato Alves
Published: July 2018

O objetivo do estudo foi descrever a distribuição espacial e evolução da leishmaniose visceral (LV) no período de 1986 a 2017 e sua correlação com indicadores socioeconômicos no estado do Ceará, com base nos boletins emitidos pela Secretaria Estadual de Saúde do Ceará e documentos do Ministério da Saúde e Atlas Brasil. Os dados foram analisados através do programa Bioestat 5.0. Constatou-se que a LV encontra-se distribuída em 95% do território cearense, com taxa de incidência de 1,9 a 9,1/100.000 hab e letalidade média de 5,7%.  Testes de correlação de Pearson indicam correlação positiva da incidência de LV com Índice de Desenvolvimento Humano (IDH) municipal e Renda percapita (p<0,0001; r = 0,44 e 0,63, respectivamente). Conclui-se que a LV no Ceará é uma endemia grave e não controlada. Os dados revelaram que quanto maior a renda e o IDH do município, maior a taxa de incidência de LV.
A interferência negativa da discalculia na motivação para a aprendizagem: como melhorar?
Authors: Moraes Francisco Ronald Feitosa , Rodrigues Francisco De Carvalho , Teixeira Marlene Menezes de Souza , Oliveira Gislene Farias de
Published: July 2018

Dentre as mais variadas causas dificultadoras da aprendizagem da matemática, encontra-se a discalculia. Trata-se de um distúrbio neurológico específico de aprendizagem,  decorrente da carência de recursos biológicos relacionados a  maturação de certas estruturas cerebrais, que acomete as habilidades cognitivas relacionadas a processos ou tarefas que necessitem do manejo de cálculos, ou conceitos de matemática. Este estudo discute sobre o tema, numa perspectiva de trazer elementos que ajudem no seu mais breve reconhecimento, pelos atores escolares. Dessa forma e, trabalhando de maneira mais focada e específica, pode-se utilizar de uma metodologia mais adequada às necessidades do estudante com tais características. O objetivo final é superar ou amenizar os obstáculos de aprendizado causados pela discalculia.
Saúde Mental Infanto-juvenil: a necessidade de Políticas Públicas mais efetivas pelo Estado
Authors: Oliveira Sidney Medeiros de , Silva Messias Santos da , Nogueira Michelle Carolina Alves
Published: July 2018

O estudo das enfermidades mentais infanto-juvenis é de grande valia, tendo em vista que o conhecimento e divulgação das características presentes nas doenças mentais em crianças, permite o reconhecimento das debilidades cerebrais com mais facilidade, com o escopo de tomar as medidas cabíveis a sua remediação o mais breve possível. O objetivo deste estudo é discutir sobre a necessidade de políticas públicas mais efetivas pelo Estado para a Saúde mental infanto-juvenil. Os resultados demonstraram que ainda há carência de políticas de saúde mental específicas, mais direcionadas ao público infantil. Estes acusam uma urgência de ações mais efetivas, além de estudos que possam fundamentar a elaboração de ações políticas adequadas.
La dificultad de ser amado
Authors: Rodríguez Pablo Uriel
Published: July 2018

Actualmente, Las obras del amor es uno de los libros más leídos por los especialistas en Kierkegaard. Desde que Theodor Adorno publicó sus críticas a la teoría kierkegaardiana del amor, la interpretación habitual se ha centrado en el sujeto del amor (amante cristiano) y ha olvidado el objeto del amor (prójimo). Considero que es importante pensar una nueva cuestión: ¿cómo experimenta el prójimo el amor cristiano? Para responder esta pregunta, este artículo retoma conceptos centrales de la teoría del reconocimiento de Honneth. Intentaré demostrar dos hipótesis: i) desde el punto de vista humano, la concepción kierkegaardiana del amor cristiano no es una forma superior de reconocimiento, y ii) el Singular solo necesita a Dios para desarrollar su sí mismo.
A Review on Optimization of Vehicle Frontal Crashworthiness for Passenger Safety
Authors: Ahmed Khatri Naveed , Shaikh Humaiz , Ahmed Maher Zulfikar , Shah Asadullah , Faiz Ahmed Syed
Published: July 2018

In engineering and technology safety of human life has always been a top priority. With the increasing usage of vehicles in everyday life, probability of deaths and injuries has also increased. This paper provides a critical review on the optimization of vehicle frontal crashworthiness studied by researchers using various methods. They investigated the effects of crash at a defined speed using the method of FRB and ODB impact. It further discusses other methods that can be used to save passengers’ life. Also, the designing and manufacturing limitations faced by engineers in actual development processes. Finally, it is concluded that improved structure design and material composition can significantly increase the overall crashworthiness of the vehicle.
Integration Social Media Technology and Ethical Collaborative Learning
Authors: Ataie Fariba , Shah Asadullah , Imtiaz Ali Najma
Published: July 2018

The research aimed to design and evaluate an innovative Web 2.0-based collaborative learning with the Islamic ethical system to support Islamicisation and the practice of Islam as a way of life that is the main goal of Islamic education. This is in response to the lesser amount of focus in Islamic education on the real example of integrating ICT into the collaborative learning process that could support social constructivist learning goals and skills for use of Islamic knowledge in daily life. The most important argument is that the students should be given an appropriate and practical platform where they can practice collaboratively and share their experiences that design science research methodology and Facebook features in this study could support these needs and arguments. Expert review, user testing were conducted and quality, effectiveness and usability of developed Web 2.0-based collaborative learning confirmed.
Characteristics of Startup Company and Its Strategy: Analysis of Indonesia Fashion Startup Companies
Authors: Nurcahyo Rahmat , Ilhamsyah Akbar Mohammad , Sihono Gabriel Djoko
Published: July 2018

Startup companies, as an organization in the early phase, have different characteristics than mature organization. The research method is qualitative because the purpose is trying to understand the startup characteristics. The research object is Indonesia fashion startup companies because it is one of the most promising start ups in Indonesia. Strategy choices are crucial in fashion startups in Indonesia. Objective of this paper is to analyze the strategy that has been used in fashion startups in Indonesia. Most of the startups use intuitive decision making. The result is most fashion startups tend to use intensive strategy because the market is still growing. Intensive market penetration through marketing strategy and related diversification are the two strategies that commonly used in fashion startups in Indonesia.
Estimating ARMA Model Parameters of an Industrial Process Using Meta-Heuristic Search Algorithms
Authors: Sheta Alaa F. , Faris Hossam , Aljarah Ibrahim
Published: July 2018

This paper addresses the parameter estimation problem for a manufacturing process based on the Auto-Regressive Moving Average (ARMA) model. The accurate estimation of the ARMA model’s parameter helps to reduce the production costs, provide better product quality, increase productivity and profit. Meta-heuristic algorithms are among these approximate techniques which have been successfully used to search for an optimal solution in complex search space. Meta-heuristic algorithms can converge to an optimal global solution despite traditional parameter estimation techniques which stuck by local optimal. A comparison between Meta-heuristic algorithms: Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and the Accelerated PSO, Cuckoo Search, Krill Herd and Firefly algorithm is provided to handle the parameter estimation problem for a Winding process in the industry. The developed ARMA-meta-heuristics models for a winding machine are evaluated based on different evaluation metrics. The results reveal that meta-heuristics can provide an outstanding modeling performance.
AN ENHANCED PRIVACY PRESERVING APPROACH WITH ENFORCING POLICIES FOR PROCESSING BIG DATA IN SPARK FRAMEWORK
Authors: Swaminathan Revathy , Thangavelu Arunkumar
Published: July 2018

Ensuring the privacy for the big data stored in a cloud system is one of the demanding and critical process in recent days. Generally, the big data contains a huge amount of data, which requires some security measures and rules for assuring the confidentiality.  For this reason, different techniques have been developed in the traditional works, which intends to guarantee the privacy of the big data by implementing key generation, encryption, and anonymization mechanisms. But, it limits the issues of increased time consumption, computational complexity, and error rate. Thus, the proposed work aims to design an enhanced mechanism for a secure big data storage. Here, the user’s bank dataset is considered as the input, which is protected from the unauthorized users by guaranteeing both the privacy and secrecy of the data. Here, the raw dataset is preprocessed to increase the data quality and correctness. Then, the security policies (i.e. rules) are generated for allowing the restricted access on the data by using an Improved FP-Growth (IFP-G) algorithm. Consequently, the sensitive and non-sensitive data attributes are classified based on the extracted features by using an Enhanced Random Forest (ERF) classification technique. At last, the privacy of user’s personal information and other details are protected with the use of a Modified Incognito Anonymization based Privacy Preservation (MIA-PP) algorithm. These enhanced mechanisms guarantee the security and confidentiality of the big data with reduced time consumption and increased accuracy. During experimental evaluation, the results of the proposed privacy mechanism is analyzed and compared by using different measures. Also, some of the existing anonymization and classification techniques have been considered to prove the betterment of the proposed technique.
Maturing Construction Management Up The Bim Model & Scheduling Using Primavera
Authors: Subramani T , Ammai A
Published: July 2018

Poor hazard management is among significant difficulties confronting the construction business on issues of timely project completion. Although hazard factors are various, the nature of construction projects being inclined to changes amid execution makes it hard to satisfactorily catch chance perspectives identified with scheduling and timely project completion. Conventional 2D PC based devices don't enough use digitized calculable data, along these lines constrained in capturing construction risk. Hence, derive the benefit  of prominent BIM to pass over this gap is presently being noted in growth  venture management. This examination researches the utilization of BIM in managing scheduling risk of construction projects. In our study, to properly minimize the risk of schedule delay in projects; construction sequencing exercises should be satisfactorily digitized and BIM offers the total chance to integrate vital aspects of project management that  management enhance scheduling risk management.
Categorization of Vehicle and Motion Analysis Using Vehicle Features
Authors: S.Vanithamai Ms , S.Purushothaman Dr
Published: July 2018

This research work can identify the vehicle and classify the vehicle using the vehicle features such as shape, color etc., The parameters extracted from the vehicle classification are based on movement of the vehicle are classified as static, movement variation in the successive video frames are used to identify the hazardness of the vehicle. Digital Image processing techniques are used in the object detection.
Hyperchaos for improving the security of medical data
Authors: N. Lagmiri S , Elalami J , Sbiti N , Amghar M
Published: July 2018

Because of the widespread use of medical images and signals in hospitals and healthcare communities, information security and medical data encryption are becoming more important. Cryptography has a specific role, is to protect data against unauthorized access. In this paper, we propose an efficient encryption scheme for medical data using a new hyperchaotic system applied with two algorithms: the first based on random key generation from initial conditions to encrypt a brain MRI and the second algorithm using chaotic masking technique to encrypt the heartbeat signal. The scheme achieves secure encryption and his robustness is measured by various metrics such as histogram analysis, key sensitivity, correlation coefficient and PSNR test. We conclude from the experimental results that the scheme promises stronger resistance against diverse forms of common attacks and high sensitivity to the security keys.
Thermal Chemically Deposited Zno Nanostructures: Influence of Post-Deposition Annealing Temperature on Ph Sensor Performance
Authors: Bazilah Aimi , Awang Zaiki , Sobihana Shariffudin Shafinaz , Hana Herman Sukreen
Published: July 2018

Zinc oxide (ZnO) nanostructures were synthesized via thermal chemical deposition (TCVD) method and applied as the sensing membrane of an extended-gate field effect transistor (EGFET) pH sensor.  The ZnO nanostructures undergone a post-deposition heat treatment with the temperature ranging from 200-500 °C for 15 min in air ambient. The influence of the post-deposition heat treatment on the physical and pH sensing characteristics was investigated. The FESEM images showed that the surface morphology of the samples were dependent on post-annealing treatment. The as-deposited sample showed the biggest grain size and non-uniformed structures. Applying the post-annealing heat treatment caused the surface morphology to become denser and uniform. The most ideal temperature for the heat treatment for EGFET pH sensor application was found at 300 °C resulting in a pH sensitivity of 48.2 mV/pH with 0.9646 linearity.
Retardation of Mild Steel Corrosion in Analogous Schiff Bases with Different Electronic Environments
Authors: Athirah Dzolin Syaidah , Bahron Hadariah , Mohd Yusirie , Zakiah Nor Hashim Nor , Huda Abdul Halim Nurul
Published: July 2018

Two Schiff bases namely (E)-2-((phenylimino)methyl) phenol (SA1) and (E)-2-methoxy-6-((phenylimino)methyl) phenol (SA2) were produced via reaction of phenylamine with 2-hydroxybenzaldehyde and 2-hydroxy-3-methoxybenzaldenyde, respectively. The structures were elucidated through spectral and physicochemical techniques of melting point, elemental analysis (C, H and N), 1H Nuclear Magnetic Resonance (NMR) and Infrared (IR) spectroscopy. The distinctive n(C=N) and d(OH) peaks for SA1 and SA2 appeared at 1615 and 1613    cm-1 and at 13.27 and 13.37 ppm, respectively. Electrodeposit both compounds on mild steel at 0.05 M concentration in 0.3 M NaOH was established through cyclic voltammetry (CV) and chronoamperometry (CA) methods. Yellow and brownish Schiff base layers were observed to be formed on the mild steel specimens. The coated and uncoated mild steel specimens were tested for their corrosion behavior using the Tafel Extrapolation Method (TEM) in 0.5 M NaCl.  Results demonstrated that mild steel coated with SA2 through CA technique at potential +0.90 V showed the highest inhibition efficiency, hence indicating a superior surface coverage, with 97.20 % inhibition efficiency; while SA1 recorded the highest inhibition efficiency of 93.83 % at coating potential of +1.35 V.
Multi-configuration Stiffened Panels under Compressive Load: Part 1 – Theoretical Analysis
Authors: Ramly Ramzyzan , Kuntjoro Wahyu , Radzi Abdul Ghani Amir , Effendy Mohd Nasir Rizal , Muhammad Zulkifli
Published: July 2018

Stiffened panels are the structure used in the aircraft wing skin panels. Stiffened panels are often critical in compression load due to its thin structural configuration. This paper analyzes the critical loads of a multi configuration stiffened panels under axial compressive loading. The study comprised three main sections; theoretical analysis, numerical analysis and experimental analysis. The present paper deals only with the theoretical analysis. This first part of analysis is very important since the results will be the main input parameter for the subsequent numerical and experimental analysis. The analysis was done on the buckling properties of the panels. Four panel configurations were investigated. Results showed that even though the stiffened panels have the same cross-sectional area, their critical loads were not identical.
Impact Properties of Aluminum Foam – Nanosilica Filled Basalt Fiber Reinforced Polymer Sandwich Composites
Authors: Emi Nor Ain Mohammad Nurul , Jumahat Aidah , Fashan Ghazali Mohamad
Published: July 2018

This paper investigates the effect of nanosilica on impact and energy absorption properties of sandwich foam-fibre composites. The materials used in this study are closed-cell aluminum (Al) foam (as the core material) that is sandwiched in between nanomodified basalt fiber reinforced polymer (as the face-sheets). The face sheets were made of Basalt Fibre, nanosilica and epoxy polymer matrix. The sandwich composite structures are known to have the capability of resisting impact loads and good in absorbing energy. The objective of this paper is to determine the influence of closed-cell aluminum foam core and nanosilica filler on impact properties and fracture behavior of basalt fibre reinforced polymer (BFRP) sandwich composites when compared to the conventional glass fibre reinforced polymer (GFRP) sandwich composites. The drop impact tests were carried out to determine the energy absorbed, peak load and the force-deflection behaviour of the sandwich composite structure material. The results showed that the nanomodified BFRP-Al foam core sandwich panel exhibited promising energy absorption properties, corresponding to the highest specific energy absorption value observed. Also, the result indicates that the Aluminium Foam BFRP sandwich composite exhibited higher energy absorption when compared to the Aluminium foam GFRP sandwich composite.
Comparison of Conductivity Performance of Dragon Fruit Dye Extracted Using Water and Ethanol for Dye Sensitized Solar Cells
Authors: Zakaria Rosnah , Hasdinor Hassan Oskar , Zu Azhan Yahya Muhd , Fariz Mohamad Taib Mohamad , Malik Marwan Ali Ab
Published: July 2018

Natural pigments such as anthocyanin, carotenoid, flavonoids, and chlorophyll can be considered as promising alternative sensitizer dyes for DSSC to replace synthetic dye such as N719 because of their simple preparation technique, low cost, complete biodegradation, availability, purity grade, environmental friendliness and most importantly ability to reduce noble metal. In this work, UV-Vis spectra is used to observe the absorption spectra of different extracting solvent of dragon fruit dye. Fourier Transform Infrared Spectroscopy (FTIR) identifies the functional components of the dye while impedance spectroscopy gives the conductivity data. Dragon fruit dye extracted with ethanol had a lower absorbance at 518 nm compared to dragon fruit dye extracted with distilled water at 521 nm. The presence of carboxyl group in Betalains pigment within the range of 400 - 700 nm wavenumber promotes strong hydrogen bonding while the presence of COOH stretching vibration further confirms the carboxyl group of Betalains derivatives in dragon fruit dye. The electrical conductivity measured at room temperature (27°C), boiling point (100°C) and 130°C recorded highest value of 183 Scm-1 at 100 °C for dragon fruit dye diluted with distilled water (D-DI) while for dragon fruit dye diluted with ethanol (D-Etha) the value is 9.56 × 10-1 Scm-1 at 130°C hence showing that distilled water is the best solvent for natural dye from dragon fruit.
Seasonal Particulate Matter (PM10) Concentration in Klang Valley, Malaysia
Authors: Asmat Arnis , Norhayati Mohamad Tarmizi Siti , Hidayah Zakaria Nur
Published: July 2018

This paper presents a study on Seasonal Particulate Matter (PM10) concentration at selected region in Klang Valley for two years database (2002-2004). The study aimed to analyse on how the distribution of PM10 concentration has changed over monsoonal. Kriging method was employed for interpolating PM10 concentration over limited dataset from seven monitoring stations in Klang Valley. Results found that higher PM10 concentration was recorded during Southwest monsoon (65.92μg/m-3) followed by both inter-monsoon (62.17μg/m-3) and (59.13μg/m-3) respectively. Meanwhile, the lowest concentration (36.67μg/m-3) was recorded during northeast monsoon. From the distribution, Klang station has recorded the highest PM10 concentration throughout the season, followed by Kuala Selangor (59.33μg/m-3). Hulu Langat and Gombak stations have shown the lowest concentration of PM10, (40.92μg/m-3) and (36.67μg/m-3) respectively. The spatial distribution map indicated that the PM10concentration level is not only determining by seasonal but also depends on location of monitoring station itself. The concentration may increase if the station is closer to the proximity of urban and industrial pollution sources.
Comparison of Parallel Dowel-Bearing Strength of Mengkulang, Kempas and Pine Glulam between ASTM D 5764-97a and BS EN 383: 2007
Authors: Jihan A. Malek Nor , Hassan Rohana , Ibrahim Azmi , M. H. Almanea Hussein , H. Hean Tee
Published: July 2018

Dowel-bearing strength is a significant parameter for designing wood connection. The strength of timber connection can be influenced by the bolt diameter, wood grain direction either parallel or perpendicular, thickness of wood, moisture content and other parameters. The dowel-bearing strength test was conducted with a 12 mm bolt diameter dowel, for three different types of timber species, which were mengkulang (Heritiera sp.), kempas (Koompassia malaccensis) and pine (Pinus sp.) glulam. The dowel was placed parallel to the timber grain direction with a glue line at the center of the half-hole test. The 5% diameter offset load (F5%) for dowel-bearing strength (Fy) was determined by using the ASTM D 5764-97a whereas the dowel-bearing strength (Fh) was determined based on BS EN 383: 2007. The results of the three different types of wood showed that the Malaysian timber kempas and mengkulang were 51.740% and 32.966%, respectively, which were higher than the European timber pine. The results of the dowel-bearing strengths (Fh), which were based on the BS EN 383: 2007 gave higher values compared to ASTM D 5764-97a.
Shear Block Test Performance of Melunak and Mengkulang
Authors: Jihan Abd Malek Nor , Hassan Rohana , Ibrahim Azmi , Hasan Alhebshi Mohammed
Published: July 2018

This paper presented results of shear block test performance of tropical glued-laminated timber (glulam) from species of melunak and mengkulang. Glulam blocks were manufactured in accordance with MS758:2001. The shear block test for glue lines and the shear strength tests of melunak and mengkulang were conducted and evaluated in accordance with BS EN 14080:2013. Melunak and mengkulang produced average shear strength values of 10.62 N/mm2 and 8.19 N/mm2, respectively. In terms of wood and glue failure percentage, the results showed that melunak and mengkulang were mainly failed due to wood surface area and not due to the glue lamination in which both melunak and mengkulang showed a good bonding performance.
Magnesium-Impregnated Biochar for the Removal of Total Phosphorous from Artificial Human Urine
Authors: Fariha Mohd Idrus Nurul , Ain Jamion Nurul´ , Omar Qistina , Ahmad Izaddin Sheikh Md Ghazali Sheikh , Abdul Majid Zaiton , Kong Yong Soon
Published: July 2018

Biochar has an alkaline and porous structure that could be a potential material for recycling phosphorous (P) from urine. Sawdust (SD) was pyrolyzed to produce sawdust biochar (SDB), and then impregnated with magnesium (Mg) to produce Mg-impregnated biochar (SDBM). Artificial human urine (AHU) solution was used for a batch sorption study, and various sorption parameters (i.e., sorbent/solution ratio, pH of AHU, and initial total P concentration of AHU) were optimized. The concentration of total P was measured using an inductively coupled plasma-optical emission spectroscopy (ICP-OES). The surface morphology and elemental analysis for SDB, SDBM and the struvite-loaded SDBM (SMSDB) were investigated using scanning electron spectroscopy-energy dispersive x-ray spectroscopy (SEM-EDX). The total P sorption capacity for SDBM (32755 mg/g) was higher than that of SDB (7782 mg/g) and SD (10682 mg/g). The optimum total P removal for SDBM (21.2%) was achieved at a sorbent/solution ratio of 0.06g/L at pH 9. Sorption of total P may have occurred on the heterogeneous surface of SDBM. The presence of struvite crystals indicates that phosphate was adsorbed and then precipitated on the surface of SDBM.
Green Synthesis and Antimicrobial Studies of Ni(II) and Zn(II) Dinuclear Schiff Base Complexes
Authors: Kassim Karimah , Azwan Hamali Muhamad
Published: July 2018

A series of tetradentate Zn(II) and Ni(II) Schiff base complexes derived from N,N-Bis-(2-hydroxyl-5-methoxybenzaldehyde)-m-phenylenediamine was synthesized using microwave assisted synthesis approach for 5-15 minutes. The confirmation of the ligand as well the respective complexes has been elucidated through physiochemical and spectroscopy analyses. The studies show that two metal ions formed bridges connecting two Schiff base ligands. The nitrogen and oxygen atoms in each ligand served as coordination sites for the metal ions. The Schiff base ligand and complexes were screened for antimicrobial properties using Disc diffusion method against Escherichia coli, Bacillus subtilis, Enterobacter cloacae, and Klebsiella pneumoniae. The screening shows that both Zn(II) and Ni(II) complexes give signif-icant inhibition towards the bacteria tested.
Influence of temperature and water to poultry waste ratio on methane production from anaerobic digestion
Authors: Hasmi Hazwani , Buyong Faieza
Published: July 2018

The operating temperature and water to poultry waste ratio in anaerobic digestion process are among the factors that affect methane production. Therefore, this paper aimed to investigate the influence of temperature and water to poultry waste ratio on anaerobic digestion of poultry waste. In this study, three different temperatures were used; psychrophilic (25 °C), mesophilic (35 °C) and thermophilic (55 °C), while two different water to poultry waste ratio were examined; 1: 1 and 2: 1 (water: poultry waste). The methane production was the highest at mesophilic temperature followed by psychrophilic and thermophilic temperature with cumulative amount of methane at 14.99 x 10-3 L, 0.62 x 10-3 L and 0.22 x 10-3 L respectively. The highest methane production was observed at the water to poultry waste ratio of 2: 1 followed by ratio 1: 1 with cumulative amount of methane production at 0.11 x 10-3 L and 0.05 x 10-3 L.
Local Temporal Block Difference Pattern for Action Recognition in Surveillance Videos using Tree Based Classifiers
Authors: M Poonkodi , G Vadivu
Published: July 2018

Intelligent video classification and prediction is a fundamental step towards effective retrieval system. Huge volume of video is available for navigation today and managing such video and prediction of the activity before its completion gains importance in video surveillance,human computer recognition, gesture recognition etc., An eminent Local Temporal Block Difference Pattern (LTBDP) is introducedwhich enable efficient feature extraction that could be given to Tree Classifiers like Random Forest and REPTree for further prediction.The proposed pattern has been evaluated on UT-interaction dataset which enable researchers to predict ongoing human actions in an efficient manner. Experimental results using LTBDP in Random Forest and REPTree classifier gives 85.6% and 66.45% accuracy respectively.
Sub graph sampling and case citation network: a case study
Authors: Khanam Nidha , Sunil Wagh Rupali
Published: July 2018

Graphs or networks very commonly are used to represent connected or linked data. With the penetration of www in every sphere of life networked relationships can be easily established through communication links over web and network and graph analysis come as obvious choices of data representation and analysis. There are processes which can be analysed as network not through web but through the knowledge links available in these domains. In both these cases network analysis is challenged by the enormous size of the network in terms of nodes and links. Sub graph sampling can effectively be employed on large network structures to reduce the size of data while preserving the original properties of the network. Through this paper authors present a case study on application of sub graph sampling approach to obtain reduced case citation network in legal domain.
The uses of fuzzy logic method for finding agriculture and livestock value of potential village
Authors: Kurniasih Dwi , Azmi Jasmi Kamarul , Basiron Bushrah , Huda Miftachul , Maseleno Andino
Published: July 2018

This paper presents the potential owned by the Bulurejo village in the field of Agriculture and Livestock field. The authors conducted a study to determine the outcomes of potential Bulurejo village based on criteria such as potential in the field of agriculture, field of large cattle and small livestock and poultry using fuzzy logic method. So from the results of these studies there are results of the value of 74.29 which is included in the potential of a good village. The application of fuzzy logic method in determining the potential value of the village in accordance with the criteria has been successfully established, so that the fuzzy logic method is suitable for the calculation of the search results from the potential of Bulurejo village.
Laser Based Real Time Antenna Pointing Measurement System
Authors: Kumar Anish , N Thangadurai
Published: July 2018

The antenna pointing system is very important to obtain an optimum received signal level. To achieve it, presenting the implication of laser beam radiated emission requirements and how they state for pointing measurement system, its impact on design, verification and testing for the antenna pointing system. The antenna pointing system is developed by using array of linear light sensors, crosshair laser weapon, where the light sensors are mounted on the board and laser weapon putted on the antenna mechanism. On the rotator system, composed by using 2 gears and 2 DC motors with customized frames. For collecting the sensors data using ProASIC3 FPGA fabric and finding the numbers and which sensors has been active during the emitting period and 32-bit ARM Cortex-M3 processor take account into the pointing measurement system to computing the pointing and pointing error. At the end, the final step is building a User Graphical Interface on PC to show the output of the antenna pointing.
Experimental Study on Strengthening of RC Short Columns with BFRP Sheets
Authors: Krishna Arathi , Mary Jacob Milu , Saravana Raja Mohan K
Published: July 2018

Earlier the methods adopted for the repair and rehabilitation were the external bonding of the damaged component with steel fibers and steel jackets. But the major problem that caused due to this steel components is corrosion. Fiber Reinforced Polymer (FRP) composite materials used for strengthening of components in the form of confinement is of considerable importance in civil engineering. This paper presents the results of axially loaded RC short columns which are strengthened by providing confinement with new material BFRP. The primary objective of this work is to examine the load carrying capacity of concrete columns confined with basalt fiber reinforced polymer jacket (BFRP) which is considered as an abstruse material for strengthening. BFRP materials are non-corrosive, non-magnetic, and chemical resistant and they are progressively being used for repair, rehabilitation, and strengthening of structures that are not stable enough to carry loads. The parameters considered in the study are full and partial wrapping and the number of layers of confinement. The results obtained from the experimental studies and the analytical models precisely shows that the BFRP confinements will upgrade the compressive strength of columns under the given load condition.
Microbial Fuel Cell and its Efficiency in Treating Wastewater - a Novel Technique for Wastewater Treatment
Authors: Antony Fantin B , Ramesh S , S.Sudarsan J , Vanamoorthy Kumaran P
Published: July 2018

Due to depletion of coal and other natural fuel there is an urgent need to find eco-friendly and workable technology for alternate energy. Microbial fuel cells is considered as assuringmethod to extract energy from various sources of wastewater and to generate electricity. But, due to practical limits, MFCs are still unsuitable to meet high power demands. Since wastewater contains several contaminants including organic substances, therefore, generation of electric energy from wastewater using MFC can offer an alternate solution for electricity issue as well as to reduce environmental pollution. Microbial fuel cells harvest electrical energy from wastewater with the help of microorganisms present within the wastewater. The energy confined in organic matter converted in to useful electric current. In Microbial Fuel Cell electrons from the microorganisms transfer from a reduced electron donor to an electron acceptor at a higher electrochemical potential. The study highlights that wastewater with high organic content found to be more effective and it also gives good energy production. If the same concept implemented in large scale it can help in achieving sustainable development and it helps in achieving 3R formula in the process of wastewater treatment.
Changing Mechanisms of Enterprise Security (Comparing Beyond Corp with Prevalent Network Security Mechanisms)
Authors: Amutha B , Saxena Swasti , Das Abhinaba
Published: July 2018

War driving, camp out etc. are common methodologies of gaining access of a company’s network and resources illegally. Packet capturing, out of thin air, brute force etc. are common mechanisms to gain key or password access to any company’s applications. In the times where hacking and cyber-attacks have become prevalent, companies are deploying various network security mechanisms to counter these attacks and to safe guard company’s applications and data. Beyond Corp is a new technology that is being used by Google these days to safe guard its applications. In this paper we will compare some of the network security mechanisms that many companies use to avoid cyber-attacks with Beyond Corp technology which is being used by Google to avoid security breach in the company’s network and applications.
Evaluation of Investor Awareness on Techniques used in Stock Trading before their Investment
Authors: Vidhya B , Magesh S
Published: July 2018

Indian stock exchange is one of the world’s largest stock market. It holds 16,993,616 active demat account investors as on February 2018, where the investor trade the equities. An equity holding will make the investor to own a percentage of the company’s capital. The value of the investment raise as the company develops, initially it starts with Initial Public Offering (IPO) which will be allotted by the companies. This will be listed in stock exchange for secondary market. The investor decides whether to hold the stock for a longer or shorter period depending on the percentage of returns. Most of the research studies had concluded that Indian stock market is highly volatile, sensitive, reactive to news and unanticipated shocks. This instantly has an impact on the market trend activities, but it resilient and recovers soon. The investor aims for high returns on the investment, and experience a high risk . Since the direction of market is unpredictable and lack of knowledge for the success factors, leads to fear on investing in stock market. Practically the risk and returns are directly proportional. However the risk-return perceptions of the investor may vary.The aim of this study is to analyse acquaintance level of the investor in stocks trading and the technical knowledge to overcome the risk factors while trading in live market before investing.
Fusion Model for Traffic Sign Detection, Tracking and Recognition
Authors: Dhingra Shubham , Saranya G , Diwakar Shalini , Kumar Manish
Published: July 2018

A video-input traffic sign recognition is an advanced application which is a part of Intelligent Transport System(ITS) that provides information to the vehicles in order to make them safe and coordinated on road. The approach is to take a video as an input, divide it into series of frames and implement detection and recognition under mobile conditions. There are three major components: 1) detection; 2) recognition; 3) classification. We implement our technology on real data sets to obtain results in real-time manner.
Design of Multiband Antenna for Wimax and WLAN Applications Using DGS
Authors: R Banuprakash , Amith GSPN , N Gagana , AG Ravi , C Pavanashree
Published: July 2018

In this paper, a multiband antenna with a micro strip feed line is presented. This antenna is designed on FR4 substrate with dielectric constant 4.4 having overall size of 20 × 20 × 1.6mm3. The proposed antenna comprises defected ground structure with T and L shape slots to achieve multiband frequencies. This multiband antenna covers three different frequencies as 3.3 GHz, 3.85 GHz and 5.25 GHz. All of these frequencies are applicable for WiMAX and WLAN applications respectively. Return loss (S11), Gain and Radiation patterns are simulated and observed on HFSS.
Influence of Treated Natural Jute Fiber on Flexural Properties of Reinforced Concrete Beams
Authors: Murugan.R Bharathi , Gayke Ajit , C Natarajan , M.K Haridharan. , G Murali , K Parthiban
Published: July 2018

India is one of the largest producers of jute, its potential use in many branches of engineering should be developed for the prosperity of the nation. The recent trends in utilizing the natural fibers has increased due to its advantages over synthetic fibers due to low cost, low environment hazard and easy availability. The properties of the fiber is improved by treating the jute fiber with alkali and latex polymer. Since, very few studies been conducted using the treated jute fiber concrete, an experimental work was carried with 0.6% as optimum percentage of treated jute fibers based on the mechanical properties of concrete. The influence of flexural characteristics of concrete was compared with control beams and beams cast with fibers in whole area and also only in tension zone of beam for M20 and M25 concrete grade. The beams with fibers of whole area had better strength, stiffness characteristic than the control beam and the beam with fibers in tension zone only. The initial cracking load was increased by 12.92% and 11.23 % and ultimate load was increased by 6.94% and 7. 20% for the beams cast with fibers in whole area for M20 and M25 grade of concrete, respectively.
Survey on Energy Efficient Routing Protocols by Clustering and Load balancing in Wireless Sensor Networks
Authors: S.Shetty Bharati. , . Suresha
Published: July 2018

Wireless Sensor Network (WSN) is consisting of nodes which deployed to sense the physical environment. In WSN there is excessive growth in performance evaluation and analysis techniques, because of fast development in Information and Communication Technologies (ICT). The main resource problem in WSN is the energy of sensor nodes. There is need of routing protocol which consumes less energy during communication. A reliable and robust routing protocol which limits the excess energy consumed by nodes during forwarding and receiving messages results in energy efficiency protocol. This survey work provides the advantages, drawbacks and comparison of five energy efficient routing protocols.
Literature Review on High Definition Image Error Concealment
Authors: Ahamed Z Ghouse , Jain Anuj
Published: July 2018

This paper is give us a overview of Error control method used in image or video transmission. Data in transmission is lost due to link failure or due to congestion and loss in packets, so the aim of this method is to protect data from these errors. Error detection coding and Error correction coding are two types of error control mechanism. Some of the error control mechanisms are Retransmission, Forward error correction, error concealment and error resilience. We are discussing a summary of three methods and Error Concealment in details.
Rheology, Strength and Durability Characteristics of Alccofine Blended Fibre Reinforced Self Consolidating Concrete
Authors: Baby Bletty , Anto Jerry , Johny Basil , S Sreenath
Published: July 2018

In this study, observations were made on the effect of blending cement with fly ash and Alccofine on the fresh and hardened properties of micro steel fibre reinforced self-consolidating concrete (SCC). SCC mixes were prepared based on EFNARC guidelines. Blending has been done by replacing 5%, 10% and 15% of cement with Alccofine. Slump flow, L-box and V-funnel tests were conducted to study the flow characteristics of SCC. Compressive strength, split tensile strength, and flexural strength tests were performed to assess the strength characteristics. It was observed that the SCC with 10% replacement of cement with Alccofine showed better results than the other mixes. Further, the modification of the optimum blend with 10% Alccofine was made by adding variable percentages (0.5%, 1% and 1.5% by volume) of micro steel fibres and strength tests were conducted to optimise the fibre content. The strength degradation of the SCC with optimum Alccofine and fibre content exposed to alkaline, chloride and sulphate solutions was also studied.
Hard Decision Decoding Performance Improved Using Turbo Product Codes
Authors: Ravi Kumar Ch , Padmaraju K
Published: July 2018

The performance of soft decision decoding, whose for which the design is complex, is superior to the performance of hard decision decoding. In this paper, we propose a turbo product code with a bit flip algorithm to improve                                                                                                      the performance of hard decision decoding. The performance of hard decision decoding is improved with low complexity using multidimensional turbo product codes. The reliability of decoding in a communication system to detect and correct errors is discussed .Maximum a posterior probability (MAP) decoding is employed to improve the hard decision performance of turbo product codes with multiple dimensions. Our results include comparisons of multiple dimensions—2D, 3D, 4D, and 5D—and the number of iterations in soft and hard decision decoding.
Real Time System for Human Identification and Tracking from Surveillance Videos
Authors: Vishaka Gayathri D , Shree Shrutee , Jain Taru , Sornalakshmi K
Published: July 2018

The need for intelligent surveillance systems has raised the concerns of security. A viable system with automated methods for person identification to detect, track and recognize persons in real time is required. The traditional detection techniques have not been able to analyze such a huge amount of live video generated in real-time. So, there is a necessity for live streaming video analytics which includes processing and analyzing large scale visual data such as images or videos to find content that are useful for interpretation. In this work, an automated surveillance system for real-time detection, recognition and tracking of persons in video streams from multiple video inputs is presented. In addition, the current location of an individual can be searched with the tool bar provided. A model is proposed, which uses a messaging queue to receive/transfer video feeds and the frames in the video are analyzed using image processing modules to identify and recognize the person with respect to the training data sets. The main aim of this project is to overcome the challenges faced in integrating the open source tools that build up the system for tagging and searching people.
An Overview of Pricing Models for Using Cloud Services with analysis on Pay-Per-Use Model
Authors: Lowe Devesh , Galhotra Bhavna
Published: July 2018

Emergence of Cloud computing in recent years has provided various options to end-users w.r.t. cloud services. Different end users have different requirements for cloud services such as IAAS, PAAS & SAAS, but these services can be availed using different pricing mechanisms such as PPU, PFR, leased based, subscription based and dynamic pricing based on factors such as initial cost, lease period, QoS, Age of resources and cost of maintenance. The authors work focusses on ‘pay-per-use’ model of cloud pricing by studying various aspects of this model and comparing the current pricing rates of leading cloud service provider. Through this paper, the authors try to analyse the pricing model used by provider by comparing similar pricing offered by competitors. Authors will also try to establish the fairness of pricing as basis for designing better model for such services. The idea of pay per use has emerged to counter the rampant software piracy, while capturing the marginal and heterogeneous users who have been often found to use pirated software, as the acquisition costs for perpetual usage are too high. The marginal usage does not justify the huge capital investment of perpetual license, thereby leading to software piracy. In this paper the authors have also discussed on the Pay per use SaaS model and how it is better than the perpetual licencing, Pay per use is primarily dependent upon certain market conditions, like higher potential for piracy, lower inconvenience costs, majority of marginal users, and strong cloud network presence. Whereas perpetual licensing is important for heavy users, a market having the above-mentioned conditions will always benefit the SaaS pay per use model. So while the developer finds advantages of increased authorized user network, lower costs of marketing, enhanced customer reliability, and lesser impact of piracy, the rewards for users are even greater as they get to use the licensed full & updated versions for a small fee, even for minor everyday usage without incurring the huge expenditure on acquisition.
Internet of Things: a Survey of the Advancements
Authors: V Dhivya , Kumar Singh Apoorva
Published: July 2018

Internet of Things is a very broad concept and it is the name given to the interconnection of everyday devices to simplify, ease or provide useful information to the user. The International Telecommunication Union (ITU) defines IoT as "A global infrastructure for the information society, enabling advanced services by interconnecting (physical and virtual) things based on, existing and evolving, interoperable information and communication technologies". The name "Internet of Things" was first coined in 1999 by Kevin Ashton in a presentation to Proctor and Gamble. In this paper, we review the protocols, architecture, and applications surfacing in the region of the Internet of Things in the current years. The web of things has the capability of changing a great part of the world we live in. IoT comprises of an advanced cluster of sensors inserted into various "things" that ceaselessly transmits and shares significant information to different gadgets and cloud. Information that causes us better see how these things function and cooperate. But how all of this can happen on such a large scale with so many devices transmitting data? A simple answer to that would be the Internet of Things platform that brings diverse information and provides a common language for the devices and apps to communicate with each other.