Showing papers in "International journal of engineering and technology in 2019"

Simulation Research on Integrated Hybrid PV- Wind Driven Generator Supplying AC/DC Micro-grid

Abstract: AbstractElectricity demand in the current days is more compared to the power generated, the scarcity of power requirement is more for the day to day needs. In this paper, the modeling and simulation of a Permanent Magnet Synchronous Generator (PMSG) based wind power generation system under power system dynamic conditions are presented and also shows a simple method for converting wind energy and solar power hybrid system for AC/DC Micro-Grid application is introduced. Wind driven generator is coupled to tail vane by that energy is generated in all the directions which increases the total power and improves the efficiency of the system. A 3 bridge rectifier is used to supply AC micro-grid and BuckBoost DC-DC converter is used to supply the DC micro-grid. This algorithm is implemented using simple microcontroller to generate gate pulses to the converters and track the power generation and consumption. A simple control algorithm is used to supply power for the DC/AC micro-grid from the small/large scale power. The simulation is supported by using MATLAB/SIMULINK tool under different grid and load conditions and the corresponding simulated results are encouraged. The working model of the proposed methodology has been implemented with hardware and results are shown.

Flexural Response of JFRP and BFRP Strengthened RC Beams

Abstract: In the last few decades, many studies have been conducted on the flexural strengthening of reinforced concrete (RC) beams using different strengthening techniques such as concrete, steel and artificial fiber reinforced polymer composites (FRP). Among artificial FRPs, mainly glass, carbon and aramid fibers have been considered extensively. This study presents an experimental investigation on the flexural strengthening of small scale RC beams using natural fibers such as jute fiber reinforced polymer composites (JFRP) and basalt fiber reinforced polymer (BFRP) composites. A total number of five RC beams were constructed and tested under three point bending loading scheme to investigate the flexural response of both un-strengthened and FRP strengthened RC beams. Two types of strengthening techniques were adopted to strengthen RC beams. In strengthening technique A, the fiber was applied only at the tension side of the RC beams whereas in strengthening technique B, the fiber was applied both at sides and at the bottom in the form of U shape. The results indicate that use of both strengthening materials such as JFRP and BFRP is very effective to enhance ultimate load carrying capacity of RC beams. Further it was found that strengthening technique B is more efficient as compared with the strengthening technique A.

A Survey of Systems used in the Monitoring and Control of Intravenous Infusion

Abstract: Intravenous (IV) therapy is a standard form of administration of fluids and drugs to those individuals for whom oral administration cannot be done. It is used for several purposes like transfusion of blood, to treat dehydration and to fix electrolyte imbalance. However, the IV setup used in hospitals requires constant monitoring of several parameters by the clinicians such as the flow rate and level of liquid in the IV bag. A failure to do so will result in several complications which can be difficult to deal with, especially in large clinical settings. To facilitate easier monitoring of the infusion process, several systems have been developed over the years. Although the overall purpose of these systems is to monitor the flow rate and raise a warning in case of any anomaly, the techniques used to develop these systems and the functionalities fulfilled by them are subject to considerable variation. In this survey, we discuss the various systems developed to monitor the intravenous infusion process. Keyword Intravenous therapy, Backflow, Automatic locking, Flow Rate, IV tube

Focused Time Delay Neural Network For Tuning Automatic Voltage Regulator

Abstract: This paper proposes a novel controller for automatic voltage regulator (AVR) system. The controller is used Focused Time Delay Neural Network (FTDNN). It does not require dynamic backpropagation to compute the network gradient. FTDNN AVR can train network faster than other dynamic networks. Simulation was performed to compare load angle (load angle) and Speed. The performance of the system with FTDNN-AVR has compared with a Conventional AVR (C-AVR) and RNN AVR. Simulations in Matlab/Simulink show the effectiveness of FTDNN-AVR design, and superior robust performance with different cases.

Automatic Detection of Wrecked Airplanes from UAV Images

Abstract: Searching the accident site of a missing airplane is the primary step taken by the search and rescue team before rescuing the victims. However, due to the vast exploration area, lack of technology, no access road, and rough terrain make the search process nontrivial and thus causing much delay in handling the victims. Therefore, this paper aims to develop an automatic wrecked airplane detection system using visual information taken from aerial images such as from a camera. A new deep network is proposed to distinguish robustly the wrecked airplane that has high pose, scale, color variation, and high deformable object. The network leverages the last layers to capture more abstract and semantics information for robust wrecked airplane detection. The network is intertwined by adding more extra layers connected at the end of the layers. To reduce missing detection which is crucial for wrecked airplane detection, an image is then composed into five patches going feed-forwarded to the net in a convolutional manner. Experiments show very well that the proposed method successfully reaches AP=91.87%, and we believe it could bring many benefits for the search and rescue team for accelerating the searching of wrecked airplanes and thus reducing the number of victims.

A Smart Firefighting Robot System (LAHEEB)

Abstract: The motivation behind this project is that firefighter's death. Many firefighters are struggling to perform their duty which causes much death while on a mission and the circumstances related to each incident. Firefighters are our heroes and our sense of security in times of trouble. They put themselves on dangerous situations to protect us. At present, the world is moving toward the use of technologies software and hardware. This paper proposed a smart firefighting robot system (LAHEEB) which designed to detect the source of fire, extinguish it and increase the knowledge about fire behavior from incident area. This Robot can extinguish different types of fire A, B, C, D, F/K, electric and metal fire without spreading in the shortest time. This robot will reduce the risk of injury for firefighters and possible victims and decrease the monetary losses which increase considerably as fire duration increases. LAHEEB consists of the ultrasonic sensor mounted on a servo motor for obstacles detection and equipped with flame sensors for detecting fire. It also makes use of liquid-tank and spray mechanism for extinguishing the fire. The spraying nozzle is mounted on a servo motor to cover maximum area. Liquid-extinguisher is pumped from the main tank to the nose with the help of a 12V pump. The whole system is programmed using an Arduino UNO board (ATmega328P microcontroller) which forms the brain of the system. KeywordRobot, Firefighting, Extinguishing, DC motors, Flame sensors, Pumps, Arduino.

Need and Importance of Healthcare Data Integrity

Abstract: Recent security breaches have exhibited that the peril is no longer hypothetical, and industries ranging from healthcare, aviation and retail have all proved to be vulnerable. The attackers have now graduated from isolated incursions to the potential of launching a devastating strike on every sector. Cyber security shall not be considered as a state of perfection to be achieved and maintained. It is an ongoing process of self-evaluation and informed actions, adapting to the threat landscape as it evolves. Cyber operations that will manipulate data will be the next weapon for Cyber Armageddon in near future. The discussion focuses on the development of the breach of data integrity, an issue that has arisen in the wake of arguments against the recent trends of cyber-attacks. The breach of data integrity poses an arguably more unknown threat for healthcare industry to combat than simple data theft, as it can allow attackers to alter anything in the record. By nature, healthcare data integrity breaches are often difficult to detect and in many cases, where this type of compromises has occurred, the real impacts are yet to be diagnosed. The article explains some of the key benefits to be derived from maintaining data integrity, as well as the risks associated with the software industries in general and healthcare industries in particular if it is not observed strictly. Keyword Healthcare Data; Data Integrity; Data Security; Cyber Security; Cyber Attacks.

A comparative study of the environmental impact from transportation of prefabricated building elements using wood or concrete

Abstract: As many as 240 of Sweden's 290 municipalities estimated that there existed a housing shortage within their region. Therefore, many homes are required to be built in a relatively short period to ful ...

Empirical Study on the Mobile App-Aided College English Vocabulary Teaching

Abstract: The paper aims at analyzing how to improve College English vocabulary teaching with the aid of a Mobile App. The research objects are 60 freshmen of non-English majors from two classes of a provincial medical university in Mainland China. Based on the contrast of vocabulary tests results between the control group and the experimental group, the author analyzes the influences of a Mobile App aid on College English vocabulary teaching. The main findings of this research can be listed as follows: students’ pronunciation performances of required vocabulary in experimental group are much better than those of the control group; vocabulary spelling of students with the Mobile App aid learning is more accurate than that of those without the Mobile App aid; the experimental group students identify the meanings of required vocabulary more effectively than the control group students; the experimental group students tend to apply more newly-learned vocabulary required in the designed task. The results gained are of great methodological significance in the vocabulary teaching and learning.

Process Parameter Optimization for Selective Laser Melting of 316L Stainless Steel Material using Taguchi’s Statistical Design of Experiment Procedure

Abstract: Selective Laser Melting (SLM) is a type of additive manufacturing or 3D printing technology that makes use of a high-power laser beam to completely melt powder material layer upon layer which solidifies to form the desired part or component. In this experimental study, a careful selection of SLM process parameters (laser power, scan speed, hatching distance, and layer height) was done for the selective laser melting of 316L stainless steel powder material to produce samples with maximum density. A statistical procedure was carried out on the experimental data using the Taguchi’s design of experimental technique to optimize the carefully selected process parameters. The obtained results were analyzed using analysis of variance (ANOVA) and signal-to-noise (S/N) ratio with the help of Minitab 18 statistical software to determine the optimal parameters and a regression model was also established. The regression model indicates a linear relationship between relative density and the process parameters. Density value higher than 95% was obtained from this experimental study.

Medical Image Encryption Using Modified Identity Based Encryption

Abstract: The development of technology and communication also affects the level of security needed for digital image transmission. It is known that digital images now have important meanings in both communication and video conference. In this paper, we propose a security method for medical encryption in the form of images. The proposed method is implemented in the modified Identity-Based Encryption scheme. The encryption algorithm used is Elliptic Curve Cryptography (ECC) to generate key pairs and the Advanced Encryption Standard (AES) to generate symmetric keys and encrypt process. This method has been tested based on computation time, histogram analysis and statistical analysis. The results of the test were obtained that the proposed method was resistant to multiple attacks despite having slower computing time. The proposed compute time error percentage is 1.69% for key generator stages and 0.07% for total compute time at the encrypt-decrypt stage.

Investigating Possible Scenarios in the Formation of Knowledge City Based on the Role of Universities and Higher Education Centers (Case study: Qaenat city

Abstract: Globalization is a process that has had a positive and negative impact on all aspects of cities today. Globalization has increased social inequalities and increased competition among cities by changing the role of cities and expanding city-to-city relations and changing their management system. Today, knowledge is a sustainable competitive advantage for cities to compete with other cities and for this, the new urban management system puts the city's development on the basis of attracting creative and innovative forces (which are the main pillar of creating knowledge and gaining competitive advantage for the city). City development based on creative and innovative forces is called urban development of knowledge base and the output of this model is the city of knowledge. City of Knowledge is an element for the development of regional economics . The need for the infrastructure necessary to create a knowledge city in developing cities and the uncertainty due to the complexity of the environment has made it difficult to predict the future in these cities, so that traditional planning is no able to respond. Future research methods and scenarios should be used to predict the future and explain the possible alternatives in different situations. The purpose of this research is to investigate the effective factors in the formation of knowledge city based on the role of universities and higher education institutions, especially in the city of Qaenat. In order to achieve this goal, 60 experts from universities, government, industry and 383 students from universities in the city and residents of the city will be consulted in the form of a questionnaire (for the degree of influence and uncertainty) and then the method Confirmatory factor analysis and structural equation modeling (SEM) using LISREL software, Friedman rank test, paired t-test and Pearson correlation test were used for data analysis using SPSS software. The results of this study showed that the five dimensions of the study (placement for creating favorable rules and policies, individual tendencies for communication, promotion of organizational structure for desirable communication, promotion of organization culture for communication, quality of intermediary organizations) due to the high average in The results have been effective in the success and creation of its masters in the study area. Eventually, the city of Qaen has its potential in creating a knowledgeable city in a desirable condition and has the necessary grounds for reaching and becoming a creative city of the knowledge hub. Then, the probable scenario in this area of Knowledge is the four scenarios of Golden Knowledge, The confused caravan, the Bermuda of knowledge and the soldiers without a commander, are here the chosen scenario, according to the research results of the golden city of knowledge

Dielectric Studies of PEO-based Polymer Electrolytes Doped with LiTFSI Salt and EMIMTFSI Ionic Liquid

Abstract: In this work, poly (ethylene oxide) (PEO) is doped with Lithium bis (trifluoromethanesulfonyl) imide (LiTFSI) salt and 1-Ethyl-3-methylimidazolium bis (trifluromethanesulfonyl) imide (EMIm-TFSI) ionic liquid, a plasticiser, for preparation of PEO-LiTFSI-EMImTFSI plasticised polymer electrolyte (PPE) system. Impedance spectroscopy is used to analyse the dependence of dielectric behaviour of the films on frequency and temperature. It is performed in the temperature range between 303K to 343K for frequencies between 50 Hz to 1 MHz. The cationic transport in the films may be explained from the dielectric constant, ԑr and dielectric loss, ԑi where they are found to increase with temperature at lower frequency and decrease at higher frequency, showing that the electrodes were being polarized. Both real parts, Mr and imaginary part, Mi of the modulus showed an increase at high frequency that indicates the spread of conductivity relaxation. The highest temperature (343K) achieved the lowest relaxation time, τ due to increase in number of ions and increase in mobility of ions in the polymer system indicating that conductivity in this system is thermally activated.

Synthesis of Graphene Oxide from Waste Carbon Tyre using Modified Hummer’s Method

Abstract: Recently, graphene was produced from graphite powder using chemical vapour deposition (CVD) or Hummer’s method. Graphene is widely used in many applications and give a lot of advantages for industry. In this study, graphene oxide was synthesized from waste carbon tyre using modified Hummer’s method. This green technology turned waste material to wealth. The morphology and structural properties of the graphene oxide were investigated using Raman spectroscopy, scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDX). Raman analysis was confirmed that graphene oxide was successfully synthesized from waste carbon tyre. It was confirmed the peaks shows that D band and G band was at 1361 cm and 1596 cm with the intensity ratio of the D band relative to the G band (ID/IG) is 0.88. The formation of few sheets of grapheme oxide that stalked together on the surface of the sample structure, bumping pieces and coarse surface was confirmed by scanning electron microscopy (SEM). The elemental composition of carbon (C) is 50.90 % and oxygen (O) is 49.10% which showed a good composition for graphene oxide. All the results were confirmed that the graphene oxide has been synthesized from waste carbon tyre using modified Hummer’s method which next will forms graphene powder through exfoliation method.

High-Performance Cement Composite for Architectural Elements with Elimination of Elements with Elimination of Micro Crack

Abstract: Architectural concrete takes a prominent place in the design of not only the exteriors of modern buildings but also various additional interior and exterior elements that have an aesthetic function. The individual and own needs of the construction and its integration into the landscape are essential aspects that need to be taken into consideration when designing. Achieving a unique aesthetic appearance can be accomplished in several different ways, by using both special forms and changes in the composition of the concrete mixture itself. High-strength concrete is used very often in the manufacture of architectural parts and it is necessary to use cement composites with special properties for the manufacture of architectural elements, such as decorative linings, garden architecture or interior elements. Because of the high aesthetic requirements, the formation of micro cracks, which result primarily from the hydration of the cement and degrade the architectural aspect of the product, are very undesirable for these structural elements. The effort of many research groups or manufacturers of architectural concrete is to optimise production in such a way as to achieve the most significant reduction in this negative feature. The objective of the experiment was to achieve a targeted reduction in the occurrence of these defects, which are mainly associated with volume changes during the hydration of the cement composite. In order to eliminate the negative shrinkage effect of concrete, special chemical additives will be examined in this document and their impact on the final physical and mechanical parameters of the composite will be verified. The most important observed property will be the shrinkage of concrete during maturation, which is the period immediately after mixing up to 28 days. Additional properties that point to the course and influence the hydration process itself will be also analyzed.

Observation of Fish Dissemination Pattern on Madura Coastal Using Segmentation of Satellite Images

Abstract: Almost traditional fishermen still use manual methods to catch fish that rely on experience in fishing and information among fellow fishermen. This method is not effective for maximizing fish production. A good pattern or strategy is needed to increase fish production. In determining dissemination pattern of fish, it can be predicted from physical parameters such as temperature, salinity, chlorophyll, turbidity, total suspended solids, and colored dissolved organic matter using the Landsat 8 images. Â This research area is on the Island of Madura Coast. The pattern is determined by using Lagrange Interpolation and clustering using K-Means. The results of the study of the pattern of fish dissemination were then validated with data from the Dinas Kelautan dan Perikanan Jawa Timur. The results between fish patterns and validation data in 2015 showed similarities in January, February, March, May, June, July, August, September. In 2016, results between fish patterns and validation data showed that similarities in July, August, September, and December. In 2017, results between fish patterns and validation data showed similarities in November. 2015 has the most similarities between the patterns and validation data and the least similarity are 2017.

Structural Damage Detection Using Frequency Response Function

Abstract: The concession period of man-made structures is limited and not eternal under any circumstances. Various internal and external factors cause the components of the structure to be damaged and the structure to be in serious trouble and even completely destroyed under the service load. The identification of damage to a structure has become a matter of interest to many researchers in recent decades, because catastrophic destruction of structures can be prevented by early damage detection. In addition, the service life of the structures can be increased if the defects and damages are timely eliminated. In present study, the damage to a cantilever beam constructed in the laboratory is detected based on the data from frequency response function. To do this, changes in the stiffness and natural frequencies of a structure are considered as factors in searching for a damage to the beam. The present study is carried out in two empirical and analytical phases. In the empirical phase, a physical model of cantilever beam is developed according to the requirements for damage detection. Then, the modal testing is planned to obtain the empirical frequency response functions of the cantilever beam. In the analytical phase, damage is detected using a finite element model of cantilever beam and considering the damage as a vector (including position and intensity of damage) in the cantilever beam element stiffness matrix as well as solving an optimization problem using a genetics algorithm. After conducting modal analysis on a healthy and damaged beams and obtaining frequency response functions, a finite element model updating is performed to consider the behavior of the frame connected to the cantilever beam. It can be seen that the program written in the theoretical phase of damage detection is very accurate so that it can detects damage at several points and at different intensities. In the empirical phase, damage detection is presented in a sample damaged at one point and the program is able to accurately detect the position and intensity of the damage. In the scenario of being damaged at two different points, in addition to the detection of damaged elements, the method considers a small percentage of damage for the healthy elements. In general, the proposed method is an accurate and appropriate method for detecting the damage to the cantilever beams.

The Impact of Business Strategy Formulation Towards Accountant Role: Star Rating as Moderation Variable in Hotel Industry in Southern Sumatera Region

Abstract: This research aims to test and prove the relation of choosing strategy formulation towards accountant role in hotel business management, and also to test and prove star-hotel rating to moderate the relation between choosing strategy formulation towards accountant role in hotel business management in Southern Sumatera region. This research used survey data to star-hotel General Manager (Hotel Leader) in Southern Sumatera region. 134 questionnaires had been sent to General Manager (Hotel Leader). The questionnaires used in this research are 118 (88.06%). This data was analyzed by Moderating Regression Analysis using SPSS software version 21. Findings show that deliberate strategy formulation gives positive impact towards the increase of accountant role in the hotel industry, star rating gives negative interaction effect to deliberate strategy formulation towards the increase of accountant role in the hotel industry. A new insight of this research is the effort to see interaction effect from star-hotel to strategy formulation practice towards accountant role in the hotel industry.

Digital Mapping of Hard Soil Depth in Banjarmasin City

Abstract: In the area of Banjarmasin City, a lot of data has been obtained well based on CPT data or SPT data. But for now, there is no information that summarizes the depth of hard soil in the city of Banjarmasin, especially in the form of digital maps. In in the field of civil engineering, the use of GIS has been widely applied to help map depth and type of soil. There has been a lot of research done using the CPT data and the GIS application. This kind of map holds important value for field work practice, especially in civil engineering. Therefore, it is necessary to make an initial concept of a digital map that can later be used as a starting point for foundation work in the city of Banjarmasin. The result of this study is a map of the depth of hard soil in the city of Banjarmasin with the help of GIS software. From the results of soil depth data based on CPT and SPT point test, the depth distribution of hard soil in the city of Banjarmasin varies from 28 m to 42.4 m. For areas that are not covered by the test location, a linear interpolation method is used. This depth varies in each region, between 30-40 m in Banjarmasin Utara, 36-42.4 m in Banjarmasin Barat, Banjarmasin Selatan, and Banjarmasin Tengah, and 28-40 m in Banjarmasin Timur.

Enhancing the Productivity of Wire Electrical Discharge Machining Toward Sustainable Production by using Artificial Neural Network Modelling

Abstract: Sustainability plays an important role in manufacturing industries through economically-sound processes that able to minimize negative environmental impacts while having the social benefits. In this present study, the modeling of wire electrical discharge machining (WEDM) cutting process using an artificial neural network (ANN) for prediction has been carried out with a focus on sustainable production. The objective was to develop an ANN model for prediction of two sustainable measures which were material removal rate (as an economic aspect) and surface roughness (as a social aspect) of titanium alloy with ten input parameters. By concerning environmental pollution due to its intrinsic characteristics such as liquid wastes, the water-based dielectric fluid has been used in this study which represents an environmental aspect in sustainability. For this purpose, a feed-forward backpropagation ANN was developed and trained using the minimal experimental data. The other empirical modelling techniques (statistics based) are less in flexibility and prediction accuracy. The minimal, vague data and nonlinear complex input-output relationship make this ANN model simple and perfects method in the manufacturing environment as well as in this study. The results showed good agreement with the experimental data confirming the effectiveness of the ANN approach in the modeling of material removal rate and surface roughness of this cutting process.

A review paper on home automation system based on internet of things technology

Abstract: Internet of Things (loT) is an Development of today's Internet to provide communication, connection and internetworking between different devices or physical objects, which are also called "things". The term IoT represents a general concept for the ability of network devices to collect and collect data from the world around us. The IoT is made up of intelligent machines that interact and communicate with other machines, objects, environments and infrastructures. Today, one day, everyone is connected through many communication channels; the most popular communication channel is the Internet. In other words, we can say that the Internet that connects people can also connect things. Keywords: Internet of Things, Wi-Fi, GSM, GPS, GPRS.