bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Fibre Content on Mechanical Behavior of Slurry Infiltrated Fibrous Concrete
Authors: D Elavarasi , Raja Mohan K Saravana , A Navatejareddy , R Sushmitha
Published: July 2018

Cement mortar or slurry is an essential material for production of Slurry Infiltrated Fibrous Concrete (SIFCON) structural components. However, there have been limited technical data available for deciding a suitable mix proportions and water cement ratio. For achieving a good quality of mortar mix or slurry with specific strength requirement and satisfactory level of workability for proper infiltration ability of cement slurry fibrebed. The preliminary study was carried out to select suitable mix and W/C from various mixes (1:1, 1:1.5 &1:2) and W/C (0.4, 0.45 & 0.5)on fresh and hardened properties of cement mortar. The optimum mix proportion and water cement ratio were obtained on workability (flow table test) and compressive strength of cement mortar are found to be as 1:1 and 0.40 respectively for fabrication of SIFCON. The main focus of this investigation on the behaviour of SIFCON contains various volume fraction of fibre content with an optimum mix(1:1) and W/C (0.4) under static loading. Hooked end steel fiber length of 30mm and tensile strength of 1050MPais used throughout the entire investigations. Cubes of 100 x 100 x 100mm for compressive strength and cylinders of 100mm diameter and 200mm height for split tensile strength were cast and tested at 3, 7 and 28 days. For flexural strength, three SIFCON beams of length 1200mm and cross section of 100mmx 200mm were cast and tested at 28 days under three point bending. The parameters like fracture energy, load deflection response, split tensile strength and compressive strength were found and compared the results with conventional mix. The test results observed that the strength performances were greatly improved due to addition of fibre by volume fraction in SIFCON matrix. Also developed the regression model from the experimental results to estimate the compressive and split tensile strength and compared the predicted values with the experimental values.
Twitter Sentiment Analysis and Visualization Using Apache Spark and Elasticsearch
Authors: G Maragatham , Devi A Shobana
Published: July 2018

Sentiment analysis on Twitter data has paying more attention recently. The system’s key feature, is the immediate communication with other users in an easy, fast way and user-friendly too. Sentiment analysis is the process of identifying and classifying opinions or sentiments expressed in source text. There is a huge volume of data present in the web for internet users and a lot of data is generated per second due to the growth and advancement of web technology. Nowadays, Internet has become best platform to share everyone's opinion, to exchange ideas and to learn online. People are using social network sites like facebook, twitter and it has gained more popularity among them to share their views and pass messages about some topics around the world. As tweets, notices and blog entries, the online networking is producing a tremendous measure of conclusion rich information. This client produced assumption examination information is extremely helpful in knowing the supposition of the general population swarm. At the point when contrasted with general supposition investigation the twitter assumption examination is much troublesome because of its slang words and incorrect spellings. Twitter permits 140 as the most extreme cutoff of characters per message. The two procedures that are mostly utilized for content examination is information base approach and machine learning approach. In this paper, we investigated the twitter created posts utilizing Machine Learning approach. Performing assumption examination in a particular area, is to distinguish the impact of space data in notion grouping. we ordered the tweets as constructive, pessimistic and separate diverse people groups' data about that specific space. In this paper, we developed a novel method for sentiment learning using the Spark coreNLP framework. Our method exploits the hashtags and emoticons inside a tweet, as sentiment labels, and proceeds to a classification procedure of diverse sentiment types in a parallel and distributed manner.
Use of Sludge Waste as Ingredient in Making of Brick
Authors: Amsayazhi P , Saravana Raja Mohan K
Published: July 2018

Waste may be defined as an unwanted material generated after the manufacturing process from industry, agriculture, or from house hold activity. Waste causes many nuisances in the environment. It produces many types of infection, for human and animal. The sludge from tannery effluent plants has problem of disposal. Dewatered sludge is disposed off by land filling. However, it is not an appropriate solution, due to the land limitation. The production of sludge in tannery effluent plant is about to increase every year. In addition, the constraint to treat sludge is very high in cost and time-consuming, which is the disadvantage to the responsible parties. Therefore, this study was carried out to utilize those sludge waste (SW) produced from the tannery effluent plant as a brick. The sludge brick (SB) mixtures were incorporated with many ratios of SW. Tests were conducted such as fineness test, specific gravity, water absorption and compressive strength. As the conclusion, brick with 20% utilization of SW is acceptable to produce good quality of brick. This study shows that the disposal of tannery sludge TSW would act as a suitable material for manufacturing of bricks with proportionate mix and design.
Encrypted De-duplication over Distributed Cloud Server
Authors: Aditya Balaji R , Pragadeeeshwaran R , K. Sandhia G
Published: July 2018

The most common cloud service is Data Storage. In order to reduce the storage space, deduplication is used. Data deduplication is a process of removing redundant copies of same data. If a file which is already present in the cloud, is uploaded by the same user or different user, then it will not be uploaded again. Therefore storage required is decreased but reliability is also reduced. Data are encrypted and stored in cloud to protect the privacy of users and this introduces new challenges. The proposed system uses M3 algorithm for encryption and Chunking technique for deduplication. The results of the evaluation show that the security and reliability are increased in the proposed scheme.
Framework for Optimizing Test Cases in Regression Testing
Authors: P Mahapatra R , Ranjith Aparna , Kulothungan A
Published: July 2018

Software once developed is subject to continuous changes. Software Regression Testing thus can be used to reduce the efforts of testing the software by selecting only the required number of test cases and ordering them to test the software after changes have been made to it. In order to improve the fault detection rate, the selection of efficient test cases and order of execution of these tests is important. Here is when the test case selection comes into picture where in, the fault detection rate during the working of any software has to be improved. The test case selection process will find the most efficient test cases which can fully functionally test the software that has been modified. This indeed will contribute to an improved fault detection rate which can provide faster feedback on the system under test and let software engineers begin correcting faults as early as possible. In this paper, an approach for test case selection is proposed which takes into consideration the effect of three parameters History, Coverage and Requirement all together in order to improve the selection process. This will also ensure that the rejection of some efficient test cases is reduced when compared to the selection process in conventional methods, most of them making use of a single parameter for test case selection. These Test cases are further optimized using Genetic Algorithm. Results indicate that the proposed technique is much more efficient in terms of selecting the test cases when compared to conventional techniques, thereby improving fault detection rate.
Distributed Network for Health Diagnosis Using Blockchain for Early Analysis and Detection of Health Aliment’s
Authors: Balakrishna Sunil , Parvathy L Rama
Published: July 2018

Information technology plays very important role in the healthcare sector and as new technology are introduced the potential of those technologies are tried out to see how better the healthcare sector could get advantage of these new technologies. From the time of internet age, the healthcare sector has undergone massive changes and with new technologies like Cloud Computing has bought enormous possibilities in having Personal Health Record (PHR) management. One of such latest technology which has been successfullytested and getting introduced is Blockchain. The growing interest in utilizing this technology into Health Sector especially for PHR due to its disturbed network model and the security design it has embedded in it.
Morphological and Quantitative Characteristics of the Skin of Holstein Cattle in the Amur Region
Authors: E. Ostyakova Мarinа , Yu. Sayapina Irina , Nikolay M. Mandro Nikolay , V. Trush Natal'ya , A. Gavrilov Yuriy , A. Gavrilova Galina , V. Hibchenov Lopsondorzho , N. Chubin Alexey
Published: July 2018

The skin of mammals has a high reactivity to the conditions of the external and internal environment. There is no information about the features of the structure of the skin of Holstein cattle in the context of its adaptation to the sharply continental with the symptoms of monsoon climate in the available literature. The purpose of the study was to determine the structural features of the skin of the sternal and costal regions of cattle of the Holstein breed in the Amur region. For the study, the skin of clinically healthy mature Holstein cows was taken. Time of research - autumn. The skin was fixed in a 10% aqueous solution of neutral formalin. Paraffin sections with a thickness of 5-7 μm were prepared. The sections were stained with hematoxylin and eosin, collagen fibers were detected by the Van Gison method, elastic fibers by Weygert. A distinctive feature of the papillary layer of the dermis was a well-developed system of venous sinuses that anastomosed with each other. The abundance of mononuclear cells in the lumen of the sinuses indicated the important role of the skin as an organ of the immune system that provides adaptation and protection of animals in a sharply continental climate.
Spatial Enhancement of AWiFS along Wider Swath using NSCT
Authors: S. R. Radhika K , V. Rao C , Kamakshi Prasad V
Published: July 2018

Image acquisition in a wider swath, cannot assess the best spatial resolution (SR) and temporal resolution (TR) simultaneously, due to inherent limitations of space borne sensors. But any of the information extraction from remote sensed (RS) images demands the above characteristics. As this is not possible onboard, suitable ground processing techniques need to be evolved to realise the requirements through advanced image processing techniques. The proposed work deals with processing of two onboard sensor data viz., Resourcesat-1 (RS1): LISS-III, which has medium swath combined with AWiFS, which has wider swath data to provide high spatial and temporal resolution at the same instant. LISS-III at 23m and 24 days, AWiFS at 56m and 5 days spatial and temporal revisits acquire the data at different swaths. In the process of acquisition at the same time, the 140km swath of LISS-III coincides at the exact centre line 740km swath of AWiFS. If the non-overlapping area of AWiFS has same features of earth’s surface as of LISS-III overlapping area, it then provides a way to increase the SR of AWiFS to SR of LISS-III in the same non-overlapping area. Using this knowledge, a novel processing technique Fast One Pair Learning and Prediction (FOPLP) is developed in which time is optimized against the existing methods. FOPLP improves the SR of LISS-III in non-overlapping area using technique Single Image Super Resolution (SISR) with Non Sub sampled Contourlet Transforms (NSCT) method and is applied on different sets of images. The proposed technique resulting into an image having TR of 5 days, 740km swath at SR of 23m. Results have shown the strength of the proposed method in terms of computation time and prediction accuracy assessment.
Strengthening of Unreinforced Masonry with Fibre Reinforced Concrete
Authors: Gayathri S , Kanchidurai S , A. Krishanan P , Baskar K
Published: July 2018

Unreinforced Masonry buildings are vulnerable because the walls and parapets aren’t securely tried to the floors and roof. In an earthquake, parapets can break away, walls pull apart and the floors collapse. This paper presents the experimental study performed on the flexural bond strength of unreinforced brick masonry prism. Different percentage (1%, 2%, and 3%) of Hooked Steel Fibre was used. One of the most geometrical parameters of fibres is their length, diameter and aspect ratio. Masonry prism will be cast and tested as per the guidelines are given in ASTM E518/E518-15. The results of the flexural bond strength test of prisms with and without fibre discussed.
Flexural Behaviour and Numerical Simulation on High Strength Nano Silica Concrete
Authors: Jaishankar P , Mahalakshmi S , Saravana Raja Mohan K
Published: July 2018

Effects on Flexural behavior attribute of nano SiO2 is a most widely used material in cement and concrete to boost the completion because of its pozzolonic reactivity moreover the pore stuffing effect. The results were obtained for mechanical strength, by assorted the reduced contents of 5%, 10%, 15% and 20% NS by volume fraction of cement. For further study, Finite Element Software ANSYS 10.0 is used for modeling and analysis by nonlinear steady flexural strength of the beam by two points loading.  The micro structure XRD, XRF diagnosing the migrate properties of high strength concrete, such as permeability and ion transports. Nano silica into concrete mix has shown result of increasing mechanical strength, and flexural behaviour of high strength nano silica concrete. The numerical modeling and experimental inspection circulate that the optimal reduced content of cement with ns is around 15 % of greatest strength increased.
Effect on Strength Properties of Concrete Containing Seashell Powder as a Partial Substitution of Fine Aggregate and Silica Fume used as Admixture
Authors: S Pragadeesan , S Harishankar
Published: July 2018

Sand is the most normally utilized fine aggregate in construction industry for the generation of concrete. The present scenario is in such a way that the cost of sand reached new heights and the demand for sand is also exhaustive. The replacement of the sand has a lot of constraints. Seashells are composed of calcium carbonate or chitin can be suitable alternative. It is used as a replacement of fine aggregate by 2%, 4%, 6%, 8%, and 10% for M20 grade concrete. Further 15% and 20% replacements are made. Silica fume is a ultrafine powder gathered as a result of silicon and ferrosilicon compound generation and the principle field of use is as pozzolanic material. It is used as an admixture by 5% to 10% of weight of cement to improve the strength properties. Concrete cubes and cylinders with mentioned proportion and conventional concrete are casted. Mechanical properties are evaluated by conducting compressive strength and split tensile strength tests.
Performance Evaluation of Ring Counter using Gated Clock
Authors: Mala S Pushpa , S P Bharath , . Anjum , Kumar Aniket , Kundu Debolina
Published: July 2018

Minimizing Power dissipation is one of the major concerns in the VLSI industry.Due the rapid growth in technology, there is a tremendous reduction in the chip size. Minimum power consumption has become a priority.In this paper, we propose a low power design techniquefor Ring counter using gated clock.In this paper, we demonstrate the working of ring counter using gated clock.The results are illustrated in Xilinx. The simulation results and the synthesis outputis shown.
Buckling Analysis of Belly Shaped Composite Column
Authors: Kesavan S , Ramesh S , . Alexabhishek , S.Sudarsan J , Vanamoorthy kumaran P , Muthukumar G
Published: July 2018

The study of Non prismatic column is designed to minimize the volume of material in the column by changing its shape, the column is subject to both buckling and strength constraints under axial compression load. The belly column is designed as Encased Composite column to improve the strength and ductility of column. The effective use of material through optimal shape of the column. Five models have been created in ANSYS WORKBENCH and all the columns having the same volume of materials, fixed end conditions and length of column. The behaviour of non-prismatic column is always based on tapering ratio and the slenderness ratio of the column. As the taper ratio increases, the elastic buckling load increases and stress decreases in the mean while the maximum stress occurs in the prismatic column compared with the non-prismatic column. As a result of this analysis Equivalent stress, Equivalent elastic strain, Total Deformation and Buckling load Deformation was observed and hence Stress-Strain graphs, Load -Deformation graphs and Mode-Load multiplier graph had been plotted.
Energy Efficient Routing and Peer to Peer Trust Assessment for Increasing the Network Life Time in Delay Tolerant Networks
Authors: Murugaveni S , Priyalakshmi B , Vijayan K
Published: July 2018

In military network environments is resource-constrained arrange conditions, where end-to-end network is not ensured because of successive deferral, an efficient solution is required for trustful and energy efficient routing. Proposed work, provenance trust based routing is combined with energy efficient route to opt for a high network lifetime. Proposed scheme is designed for peer-to-peer trust assessment and maximize the delivery of correct messages received by destination nodes while minimizing message delay and communication cost Provenance alludes to the historical backdrop of responsibility for esteemed data. Proposed scheme avoids malicious node using provenance model and achieves good network lifetime using energy efficient routing strategy. Node’s trust is calculated dynamically in response to changes in the environmental and node conditions.
Outlier Detection using Clustering Techniques
Authors: . Srividya , Mohanavalli S , Sripriya N , Poornima S
Published: July 2018

An outlier is nothing but a pattern that is different compared to the other existing  patterns in a particular dataset. In some applications it is very important to understand and identify outliers. Detecting outlier is of major importance in many of the fields like cybersecurity, machine learning, finance, healthcare, etc., A clustering based method is proposed to detect outliers using different algorithms like k means, PAM, Clara, DBScan and LOF on different data sets like breast cancer, heart diseases, multi shaped datasets. This work aims to identify the best suitable method to detect the outliners accurately.
Performance Efficiency of the Zeolite Synthesized from Fly Ash in Wastewater Treatment
Authors: B Subramanyam , Gunjalli Gowthami , S Aishwarya , Priya M Charu
Published: July 2018

In the present study we are exploring the possibility of using fly ash to produce zeolite. In this synthesis process, class F fly ash from Neyveli Thermal Power Plant, Cuddalore district, Tamil Nadu, India was utilized. The fly ash was subjected to fusion process with sodium hydroxide for an hour. The synthesized material was characterized to obtain the mineral composition. The resulting zeolite is competitive with commercially available materials which are used as ion exchangers in wastewater treatment and soil decontamination. In this study, the synthesized zeolite was analyzed for the performance removal efficiency of pollutants from domestic wastewater. The batch method was adopted to study the influential parameters, such as initial pH value of the solution, and dosage of zeolite, in the domestic wastewater treatment process.
Development of an electric screwdriver with incorporated torque measuring device
Authors: Okiy Stanley , Emagbetere Eyere. , U. Oreko Benjamin
Published: July 2018

The use of manual screwdriver is labor intensive and time consuming in some specific engineering work. Information on driving torques of screwdrivers for some common building materials is sparse, despite its relevance. In this work, a portable electric powered screwdriver with an incorporated torque measuring device was developed and then used to assess the driving torques of a locally made brick, Rubber wood and Abura wood. A black phosphate flat-head Phillips slotted screw, Phillips pan head brass coated screws, Phillips hexagonal head with washer brass coated and a Steel sheet metal screw combination Phillips-slotted drive were selected for the investigations. The screwdriver was used to access the drive torques for the selected materials. From the result, it was observed that the driving torque was not significantly affected by the type of material, screw type and screw size. However, the effect of the type of screw head on drive torques was significant.
Design and implementation of smart uninterruptable power supply using battery storage and photovoltaic arrays
Authors: Narasimha S , Reddy Salkuti Surender
Published: July 2018

The objective of this paper is to provide an uninterruptable power supply to the customers by selecting the supply from various reliable power sources such as solar photovoltaic, AC mains and battery storage systems. Initially, the load gets power supply from the reliable source (such as solar photovoltaic), if in case it is unavailable, then the proposed modules automatically switch over to the next reliable source (such as AC mains), and so on. If in case all proposed renewable energy sources (RESs) are unavailable than the proposed mod-ule automatically switch over to the local grid supply, if suppose the local grid supply is also unavailable then the proposed module au-tomatically switch over to the power storage bank. Therefore, the proposed intelligent/smart power module can improve the system per-formance and efficiency. The programming instruction of controller, the relay driver switches appropriate relay of sources to maintain uninterruptable power supply to the proposed utility of capacity 0.1kW. The proposed back-up system gets charged from the available reliable RESs with no pollution and noise, and it can also reduce the electricity bill. The proposed intelligent power module functions are displayed on LCD, it has been designed and analyzed in real time environment.
Computer science students simulation in capturing tacit knowledge by using NGT for reducing traffic jam
Authors: Andretti Abdillah Leon , Novita Sari Ifit , Eka Indriani Dian
Published: July 2018

The subject knowledge management systems is one of the main courses in information systems study program, faculty of computer science. This course is offered at A concentration for students in semester 5 (five). Knowledge consists of knowledge explicit and tacit. To capture tacit knowledge, it can be done by involving a number of methods, namely: 1) Brainstorming, and 2) Nominal Group Technique. The study also involves a number of social information technologies, such as: 1) Facebook, 2) WordPress, 3) DropBox, and 4) YouTube. The topic for the theme of knowledge is how to reduce traffic jam. After passing 2 (two) simulation rounds, this research get 8 (eight) ideas suggestion related to vehicle parking in an effort to reduce traffic jam. The tacit knowledge capture simulation with NGT is able to provide acceptable suggestions by all the panelists involved. The use of social information technology in this study also received a very good response from the panelists.
An approach to mitigating the premature death of the battery of sensor node
Authors: Chanagala Satyanarayana , J.Khan Z
Published: July 2018

The prime objective of this paper is to investigate the impact of the sampling interval, which is one of the sensor node parameters, on the battery life of sensor node. An improper selection of sampling interval will lead to pronounced recovery effect which leads to premature death of the battery of sensor node. The suggested approach used in this work has achieved a significant lifetime improvement of the battery of sensor node.
An XML based Web Crawler with Page Revisit Policy and Updation in Local Repository of Search Engine
Authors: Mor Jyoti , Dinesh Rai Dr , Naresh Kumar Dr
Published: July 2018

In a large collection of web pages, it is difficult for search engines to keep their online repository updated. Major search engines have hundreds of web crawlers that crawl the WWW day and night and send the downloaded web pages via a network to be stored in the search engine’s database. These results in over utilization of network resources like bandwidth, CPU cycles and so on. This paper proposes an architecture that tries to reduce the utilization of shared network resources with the help of an advanced XML based approach. This focused crawling based architecture is trained to download only the high quality data from the internet leaving behind the web pages which are not relevant to the desired domain. Here, a detailed layout of the proposed system is described which is capable of reducing the load on network and reducing the problem arise in residency of mobile agent at the remote server.
Adaptive Backsteeping SMC with Cuckoo Search Algorithm for Two Wheeled Self Balancing Robot
Authors: Pro.Dr.Ekhlas H.Karam Asst. , M.Mjeed Noor.
Published: July 2018

In this paper, a robust Radial Basis Function (RBF) Backstepping Sliding Mode controller (BS-SMC) is successfully developed for the attitude stabilization and tracking the trajectory of two wheeled self-balancing mobile robot under the external disturbance and uncertainty. The design of BS control is derived based on Lyapunov function to ensure the stability of the robot system and the SMC is designed with a switching function in order to attenuate the effects of the disturbances,   the auto-adjustable RBF inference system is suggested to estimate the equivalent component of the BS-SMC to treat the model dependency problem and robustness improvement. Also a cuckoo search (CS) optimization algorithm is used to determine the optimal values of the backsteeping sliding mode controller. Numerical simulations show the efficiency of the suggested controller in handling the balance and tracking problems of the two wheeled self-balancing mobile robot
New Strategy Based on Combined Use of Genetic Algorithm and Gradient to Solve the UC Problem: Theoretical Investigation and Comparative Study
Authors: Marrouchi Sahbi. , Ben Hessine Moez , Chebbi Souad
Published: July 2018

This paper presents a comparative study between a new strategy based on hybrid  Gradient-Genetic Algorithm method and metaheuristic methods for solving  Unit Commitment problem. Strategies have been applied on the IEEE electrical network 14 bus test system for a variable load profile during a discretized margin of time (24-hour time requirement). The right choice of the initial population and the best knowledge of the technical constraints specific to each generator (power balance constraints, Spinning reserve constraints, minimum up time, minimum down time ) suggests the possibility of obtaining improvements in the time execution. The adopted strategy has presented high performance both for minimizing the production cost and for the rapidity of convergence to optimal solutions and is promising compared to Genetic algorithm.
Robust Diagnosis of Industrial Systems by Bond graph Model
Authors: Sellami Abderrahmene , Mzoughi Dhia , Mami Abdelkader
Published: July 2018

This paper aims to solve a research problem by a robust diagnosis of a hydraulic system with sand filter by approach of graph of connection using fractional linear transformations (BG-LFT). The method we develop is based on the use of analytic redundant relations by a bond graph graph model (BG-ARRs). These relationships not only allow the detection and isolation of defects on the various elements of the system, but also the location by structural and causal analysis. The results suggest that the use of the link diagram model for a valve fault (eg an R1 valve is blocked), figures 9.a), 9.b) and 9.c) show that the residual models r1 and r2 become non-zero, so the flow and pressure levels are zero at reservoir C2. These values mean that these residues are sensitive to the variation of the flow rate at the level of the valve R1, which is confirmed by the theoretical results presented in table 2. The simulation of the system is carried out by the software dedicated to the bond graph approach
Robust Diagnosis of Vehicular Active Suspension System Using Bond Graph Approach
Authors: Sellami Abderrahmene , Mzoughi Dhia , Mami Abdelkader
Published: July 2018

Diagnostic systems play a major role in the safety of industrial systems and the availability of its equipment. Rapid detection (as soon as possible) to the operator of the detected deviations (defects) in relation to the expected nominal behavior is fundamental for the implementation of preventive and corrective actions on industrial systems.These industrial systems are governed by several physical phenomena and various technological components, which is why the Bond Graph tool, based on an energy and multi-physical analysis, is well suited. In this article, we will discuss the problem of diagnosing an active suspension system of a vehicle by presenting diagnostic methods. Then, we introduce the bond graph tool for the robust diagnosis of the system. Finally, the extension of the deterministic models presented to models integrating uncertain elements (Fractional linear transformations LFT) and the generation of robust analytical redundancy relationships are also detailed.
CFD Evaluation of Hot Stamping Die Cooling System
Authors: Zakaria A , S. N Ibrahim M , M.S. Dezfouli M
Published: July 2018

This paper presents the results of CFD analysis on a complex near optimized cooling channels of hot stamping die for automotive structural part. Near optimum design is acceptable since cooling channels design is limited by its machining constraints. The objective of this evaluation is thus to determine the efficiency the cooling system by monitoring its cooling rate during 8 seconds of the quenching process. The die and blank were modelled as 3D volume mesh in a closed position thus ignoring the blank history data prior to the stamping operation. Temperature distribution representing hardness of the simulated final part is compared with the actual stamped component. The same procedure was validated against another structural component of different cooling channel design. The results show temperature pattern after 8 seconds can be used to predict harness distribution of the final part, thus indicating the viability of this method to be used in cooling system design.
Miniaturized Band Pass Filter in Substrate Integrated WaveguideTechnology
Authors: Parameswaran Ananya , P Athira , Raghavan S
Published: July 2018

Miniaturization is an important criteria in the selection of devices for next generation communication systems. A novel miniaturization technique for an inductive post filter is investigated in this paper. Miniaturization is not so popular in inductive post Substrate Integrated Waveguide (SIW) filter and so considerable amount of research is to be done in this domain. A band pass filter in SIW technology using inductive posts is realized and further analyses are carried out. The insertion loss in the pass band is found to be 0.5 dB and the return loss is 22 dB. In this paper, we investigate the use of slow wave technology for miniaturization. Unlike the conventional SIW, the slow wave SIW topology requires a double layer substrate with internal metallized vias introduced in the bottom layer connected to the bottom conductive plane. The number of rows of internal metallized vias was chosen based on a parametric study. The proposed miniaturization technique shows that the SIW filter is 21.6 % and 34.6 % miniaturized in size and area respectively. The response of the filter covers Ka band and hence is suitable for satellite communication application. A quality factor of 506 is achieved for the miniaturized filter.
A Study of Ajax Template Injection in Web Applications
Authors: Das Noyon Avijit , Md Abid Yeahia , Maruf Hassan Md. , Hasan Sharif Md. , Nawar Deepa Fabiha , Islam Rumel Rayhanul , Haque Rafita , Nasrin Samia , Zaman Moniruz
Published: July 2018

Cyber-attacks are becoming increasingly frequent, causing a lot of damage. Cyber-attacks have crippled our economic infrastructure both directly and indirectly. Attackers steal our valuable data by compromising web application security loopholes. Developers can prevent cyber-attacks using latest web technologies. Since web technologies are becoming more secure, cyber attackers are getting more incursive to find out the zero day vulnerability of the targeted system to breach the security. Nowadays most damaging attacks are done using zero-day vulnerability. An Ajax template injection is such an attack: An unauthenticated attacker dumps database table credentials by intercepting server response. Owing to the damage caused by an Ajax template injection, it can be counted among the OWASP top ten web application vulnerabilities in the near future. This paper discusses the idea of an Ajax template injection and its impact on Ajax-based web applications. This paper also provides statistical data about the percentage of Ajax-based web application vulnerabilities in Bangladesh.
A Framework for Improving Manufacturing Overall Equipment Effectiveness
Authors: Choi Ng Kam , Eng Chong Kuan
Published: July 2018

Nowadays, manufacturing is getting more and more challenging and complex due to shorter product life cycle, high mixed low volume production situation, low equipment performance and volatile customer demand.  To overcome all these detractors and rising demands from all angles, manufacturer needs to be fast and agile, as efficient and as transparent as possible.  Productivity is the key factor for company in order to become competitive advantage and securing the organization work place.  Due to this strong pressure, it forces company introduce many production programs in order to fight the battle.  Production productivity programs such as Total Quality Management (TQM), Zero Defect (ZD) initiative, Next Level of Productivity (NLoP), Lean Manufacturing (LM), total productive maintenance (TPM) and Toyota Production System (TPS) are well-known to many manufacturing industries.  OEE topic has become progressively popular and widely used to improve productivity and as a research discussion in operation management.  However, OEE framework for previous studies was developed on a piecemeal basis.  This paper presents a new and complete conceptual framework that illustrates the most important factors that influence and contribute to OEE improvement.  The comprehensive framework is able to provide effective guidance and direction to industry practitioner on how to improve OEE.
Preparation and characterization of bullet-proof vests based on polyamide fibers
Authors: Sherif Samir Nourhan , A. Radwan Mostafa , A. Sadek M. , A. Elazab Hany
Published: July 2018

Fiber reinforced plastics (FRP) is classified as one of the main classes of structural materials. Due to its high strength and light weight, it is considered for being used in a large scale of different applications. Particularly, bullet proof vests are widely used in order to protect the soldiers from being targeted in battle fields, however many modifications are being implemented to enhance the bullet resistivity of the vests for achieving more protection. This scientific paper investigates the enhanced properties of Twaron CT 736 when it is being reinforced with epoxy resin and topped with silicon carbide ceramics. The potential application for this kind of enhancement is to produce body armor plates that would resist the penetration of machine gun 7.62 * 39 mm and 7.62 * 51 mm bullets. A ballistic gun and triggering unit for the penetration test were used and the response of the prepared samples was studied. Vacuum bagging technique was adopted to prepare the samples. The final results of this research study show that, in order to stop a machine gun 7.62 * 39 mm normal bullet the plate should contain 30 layers of Twaron CT736 topped with 2 layers of ceramics, while in order to stop a machine gun 7.62 * 51 mm bullet the plate should contain 70 layers of Twaron CT 736 topped with 3 layers of ceramics.
Performance of composite reinforced short column under axial loading
Authors: Chaitanya N , Ranga Rao V , Achyutha Kumar Reddy M
Published: July 2018

The purpose of this paper is to compare the behaviour of composite reinforced concrete square short columns and conventional square short column. Experiments are conducted on four axially loaded column specimens till failure. Among four specimens, two are conventional and remaining two columns are having equal angles as main reinforcement. Short columns are designed using IS 456 2000. The obtained details of main reinforcement are replaced in area wise by equal angle (ISA 2525). The tie reinforcement used to withhold the main reinforcement in position are retained with the same deformed bars. Performance of columns are measured in terms of load carrying capacity, longitudinal strain, stress, crushing modes, strains in each face using strain gauges. Outcome of the experiments are compared and plotted in the form of stress vs strain of the column. A finite element model was developed using Abaqus to simulate the results.
Application of advanced communication and control technologies for smart grid : a comprehensive review
Authors: Surender Reddy S
Published: July 2018

This paper presents a comprehensive review of advanced control and communication technologies of smart grid (SG). Various func-tions/features of SG include real-time pricing, voltage/VAr control, frequency control, power quality, demand response management, distri-bution system restoration, and reconfiguration, distributed generation dispatch and storage. There is a strong requirement to control these functions, as well as to communicate within themselves. Suppose, if two-way communication is not possible then it cannot be considered as a function of SG. When trying to track or monitor a function, one must be able to control, command, and communicate with it. In order to control observation ability and measure of some type of numerical quantity that is obtained from a real time measuring device being moni-tored is necessary. Some of these measurable quantities are: overvoltage limits, security measures and contingency analysis. This paper addresses various challenges of control and communication techniques of SG.
Deformed character recognition using convolutional neural networks
Authors: Shobha Rani N , Chandan N , Sajan Jain A , R. Kiran H
Published: July 2018

Realization of high accuracies towards south Indian character recognition is one the truly interesting research challenge. In this paper, our investigation is focused on recognition of one of the most widely used south Indian script called Kannada. In particular, the proposed exper-iment is subject towards the recognition of degraded character images which are extracted from the ancient Kannada poetry documents and also on the handwritten character images that are collected from various unconstrained environments. The character images in the degraded documents are slightly blurry as a result of which character image is imposed by a kind of broken and messy appearances, this particular aspect leads to various conflicting behaviors of the recognition algorithm which in turn reduces the accuracy of recognition. The training of degraded patterns of character image samples are carried out by using one of the deep convolution neural networks known as Alex net.The performance evaluation of this experimentation is subject towards the handwritten datasets gathered synthetically from users of age groups between 18-21, 22-25 and 26-30 and also printed datasets which are extracted from ancient document images of Kannada poetry/literature. The datasets are comprised of around 497 classes. 428 classes include consonants, vowels, simple compound characters and complex com-pound characters. Each base character combined with consonant/vowel modifiers in handwritten text with overlapping/touching diacritics are assumed as a separate class in Kannada script for our experimentation. However, for those compound characters that are non-overlapping/touching are still considered as individual classes for which the semantic analysis is carried out during the post processing stage of OCR. It is observed that the performance of the Alex net in classification of printed character samples is reported as 91.3% and with reference to handwritten text, and accuracy of 92% is recorded.
Map of Jordan governorates wind distribution and mean power density
Authors: S. Alrwashdeh Saad
Published: July 2018

The Renewable energy potential in Jordan is enormous as it lies within the top of the world countries renewable resources. Electricity demand in Jordan plays a major role in the high amount of energy requring to cover the needs of heating, cooling, lighting, etc. For that, the availability of the wind distribution information becomes essential to help in the design and building of the wind energy application. In this study, a wind distribution map is provided of all Jordan governorates: Irbid, Mafraq, Ajloun, Jarash, Amman, Zarqa, Madaba, Balqa, Karak, Tafilah, Mann and Aqaba.
A New Hyperchaotic Hyperjerk System with Three Nonlinear Terms, its Synchronization and Circuit Simulation
Authors: Vaidyanathan Sundarapandian , Sambas Aceng , Afendee Mohamad , Mamat Mustafa , Sanjaya Mada
Published: July 2018

In recent decades, hyperjerk systems have been studied well in the literature because of their simple dynamics structure and complex qualitative properties. In this work, we announce a new hyperchaotic hyperjerk system with three nonlinear terms. Dynamical properties of the hyperjerk system are analyzed through equilibrium analysis, dissipativity, phase portraits and Lyapunov chaos exponents. We show that the new hyperchaotic hyperjerk system has a unique saddle-focus equilibrium at the origin. Thus, the new hyperchaotic hyperjerk system has a self-excited strange attractor. Next, global hyperchaos synchronization of a pair of new hyperchaotic hyperjerk systems is successfully achieved via adaptive backstepping control. Also, an electronic circuit of the hyperchaotic hyperjerk system has been designed via MultiSIM to check the feasibility of the theoretical system.
Biofeedback of states of anxiety through automated detection processes using different technologies
Authors: Maraza Quispe Benjamin , Alfaro Casas Luis , Melina Alejandro Oviedo Olga , Chávez Crisia Vivanco , Villegas Yony Jiménez , Choquehuayta Palomino Simón , Herrera Quispe José , Caytuiro Silva Nicolas
Published: July 2018

In this work, a system model is proposed, which applies biofeedback techniques, through automatic detection procedures, using different technologies, constituted by a system formed by a prototype based on a set of "Arduino" microcontrollers, which monitor the levels of anxiety, using as a measurement technique, the Body Temperature Variables, and the Galvanic Skin Response. The measurement is validated by comparing Zung's self-report and depressive symptoms scale, which offers diagnostic approaches, which comprise most of the characteristics of anxiety or depression, involving affective, physiological and psychological aspects, with a range of punctuations. From 20 to 80 points. The presence of anxiety or depression is assumed with scores higher than 50%; controlled in an environment of the Android operating system, which interprets the data obtained, analyzing and sending them from an "Arduino Uno" plate, to display them through an application (App), using the App Inventor platform, which receives the signals from anxiety levels, using radiofrequency waves with Bluetooth technology, in order to provide self-management treatment of timely and effective anxiety levels to achieve the improvement of quality of life. This research work is motivated, because the anxiety sustained for long periods of time, can be a risk factor for diseases, lack of productivity and work absences, therefore, it can be considered as a factor that causes significant economic losses. The results obtained were satisfactory, since it was possible to considerably reduce the levels of anxiety, through the application of the techniques of the model that applies biofeedback techniques.
Force Aware Haptic Rendering for Intubation Simulation
Authors: Meng Yan , . .
Published: July 2018

We introduce a new haptic rendering method for neonatal endotracheal intubation simulation. The challenging procedure involves multiple models of different material properties, and is performed in the narrow oral cavity involving multiple contacts with tongue, lips, and laryngoscope. Our method first sets up simple collision detection mechanism with adaptive inner sphere tree structure for deformable tongue tissue. Then a collision response is handled with a novel force aware projective position correction. Our method is proved to be effective for heterogeneous simulation environment, therefore can be applied to surgical simulation with similar difficult settings.
Comparative Analysis of Loads from the Travelling Cranes of Different Producers
Authors: Pichugin Sergiy , Patenko Iuliia , Maslova Svitlana
Published: July 2018

The comparative analysis of travelling cranes of national and foreign producers is given in the paper. The travelling cranes of concern Demag were taken into consideration among the foreign cranes. The operation conditions of cranes were analyzed according to different codes of practice. The geometrical parameters, load and weight characteristics of overhead cranes were also compared. For the calculation the horizontal and vertical loads of cranes the most unfavorable schemes of location of bridge cranes on the structures of a production building were defined. According to these schemes, the maximum loads on the frame of the building were calculated and the maximum efforts in the crane beams were determined. Using obtained internal efforts the cross sections of crane girders with a span of 6 and12 mwere calculated. The results of the comparison showed the advantages of the modern cranes in materials saving of steel structures of industrial buildings.
Comparative Legal Analysis of the Legislation of Labor Protection in Construction Using the Example of the EU, Azerbaijan and Ukraine
Authors: Bozhko Volodymyr , Kulchii Inna , Szydło Joanna
Published: July 2018

The present article deals with the legislation on labor protection in the construction of the European Union and compares it with the law ofUkraineandAzerbaijan. The main focus of the paper is on Council Directive 92/57/EEC of 24 June 1992 on the implementation of minimum safety and health requirements at temporary or mobile construction sites. Comparing its content with the legislation on labor protection at the construction sites ofUkraineandAzerbaijan, the authors conclude that the guarantees of the right to labor protection in the EU cover a much wider range of subjects than in other states. This is due to the fact that the term «worker», in accordance with the case-law of the Court of Justice, covers persons who performs  services for and under the direction of another person; pursues real, genuine activities, to the exclusion of activities on such a small scale as to be regarded as purely marginal and ancillary; in return for which he receives remuneration. In addition, guarantees of labor protection in the EU extend to the self-employed person, whose professional activity contributes to the completion of a project. Proposed ways to adapt Ukrainian and Azerbaijani legislation to EU law.