This study describes the analysis of the effect of using a dual nozzle toward the Cross flow turbine performance. The dual nozzle used is mounted on a horizontal and a vertical position, round-shaped cross-section and serves to direct water jets entering the turbine runner blades and convert the water potential energy. The purpose of this study is to test the Cross flow turbine performance increase with a dual nozzle as a hydropower generation by varying the load on the turbine shaft. The research method is by doing a test to find out the dual nozzle Cross flow turbine performance in the laboratory and finally analyze it empirically. From the test data result and from the data analysis it is found that the Cross flow turbine with a dual nozzle could have an optimal efficiency and a better performance.

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Qualified and resourceful control strategies have recently emerged with an optimized solution while dealing with systems that are non-linear. This paper is endeavor to intend an optimized control strategy which proceeds a scheme of developing pre-dominant PID controller and Fractional order PID controller which is enforced to deal with the non-linear heat exchanger system. The Fractional order PID controller has the non-integer order of integration and differentiation operant that made the controller more robust. For evaluating the performance, the FOPID controller is compared with traditional PID controller. The parameters of both the controllers were optimized by minimizing the objective function using evolutionary algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). An objective function is defined by Integral Time Absolute Error (ITAE). From the entire simulation results it is observed that PSO based FOPID performs well when compared with PID controller.

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Advances in computer capabilities have increased the interest of using more complex simulation model into solving the Navier Stokes equation in open channel. Computational fluid dynamics using Large Eddy Simulation model were used to simulate the vegetation presence on floodplain along main channel inside meandering compound channel. Simulations were done for two different relative depths for non- and vegetated cases. The measured and predicted in bank stream wise velocity were compared at bend apex of the compound channel for validation. Presence of vegetation significantly reduces the velocity in the area near the vegetated main-channel and floodplain interface also in the area protected from the upstream flows. The numerical result shows that the flows inside the main channel were greatly affected by the vegetation especially for low relative depth. Interaction between stream wise velocity of over bank and in bank becomes more complex thus highly turbulence in the area near the vegetation.

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An effective calculation model of a computational experiment that adequately describes the change in a condition of geotechnical model in time considering the change in geometry of contours of investigated galleries was developed. An analysis of mining-geological and mining-technical conditions of a stoping area was carried out. The experience of performing mining and development during a long wall mining method and applied constructive-technological coal extraction schemes, mathematical modeling of geo mechanical processes in a geotechnical system was studied. Stress-strain state, manifestations of rock pressure, conditions for maintaining the galleries depending on mining-technical and technological parameters were investigated. Measurements in operating galleries of Dolzhanskaya-Kapitalnaya mine which has similar mining-geological conditions to determine the deformation characteristics of a gallery contour were performed. A calculation model was developed, which was later used to predict a stress-strain state (SSS) of the rock massif in the conditions of Belitskaya mine. The analysis of obtained data allowed determining the values of the optimal rates of stoping face movement, depending on the structure and mechanical characteristics of a coal-bearing rock massif.

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In this paper we report the study of the change in electrical properties of zigzag carbon nanotubes (10, 0) under uniaxial compressive and tensile deformation using Density Functional Theory (DFT) calculation. There is an energy gap of 0.972 eV between occupied and unoccupied region in the optimized structure calculation. We found that the band gap of the semi conducting zigzag (10, 0) CNTs decreases as the strain increases for both compressive and tensile deformation. Different profiles of charge density appear for tensile and compressive deformations. The charge density of compressed state is more localized in the z direction of C-C bonds. Meanwhile, charge density of elongated state is localized in the diagonal C-C bonds direction. At the large tensile strain, the C-C bonds break at the z-direction C-C bonds. ICOHP analysis shows that the bond strength of CNT drastically decreases under tensile deformation.

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In this paper, a combination of the dual-mode technique and the fractal based resonator geometry has been adopted to design a compact band reject filter. The proposed filter structure relies mainly on that of the triangular patch resonators with an embedded slit structure. The Koch fractal geometry has been applied to the uncoupled side lengths of the triangular patch resonator. The filter structure has been modeled, and its performance is evaluated using the commercially available method of moment (MoM) based simulator, Sonnet. Results imply that the resulting dual-mode response seriously affected by the uncoupled side lengths of the triangular patch resonator. The consequences of varying the Koch indentation angle and the slit length on the resulting filter performance have been explored. Simulation results have confirmed the validity of the proposed resonant structure to realize a compact dual-mode stop band microstrip filter.

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This experimental study was focused on the usage of DBD plasma actuator for enhancement aerodynamic performance of airfoil model NACA 0015. The DBD plasma actuator was able to suppress flow separation near the leading edge by disturbing airflow near that region. It can be seen that continuous small scale vortex is produced near the leading edge and it flows near the airfoil surface. Experimental works were performed at Reynold number approximately 63000 to 252000 with external airflow 5 m/s, 15 m/s, and 20 m/s. A thin plasma actuator was installed on NACA 0015 with 190 mm chord length and 260 mm span length at x/c = 0.025, where x is the vertical distance measured from leading edge and c was the chord length. Lift force measurement, measurement of pressure distribution on upper surface of airfoil and flow visualization were conducted to investigate the effectiveness of DBD plasma actuator. The experiment was tested during plasma ON (actuation) and plasma OFF (baseline case). The result shows that actuation case may increase lift coefficient compare to baseline case.

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A methodology for upgrading the hot die's technological forging processes was developed to increase forgings' economic efficiency based on computer modeling in QFORM and DEFORM-3D software packages. "Mounting Bracket" and "Disc" hot die forgings, made of aluminum alloys, were selected as the process for the upgrade. Meanwhile, the improved efficiency of technological process must not be connected to replacement of the utilized deforming equipment, considerable renovation of the pressing tool, or any changes in the form and size of the die forgings. Analysis of the existing technologies of the forgings' manufacture provided a basis to define an objective for computer research, namely, reducing the quantity of forging transitions via optimization of the contact friction, temperature, and speed conditions of metal deformation. As a result of forging with the use of new technology developed based on computer modeling, the forgings whose geometry and properties met the normative documentation requirements were produced in one transition in a factory environment. Meanwhile, the prime cost of their manufacture dropping by at least 10%.

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A generic growth of the theory of lattice ordered fuzzy soft group (fsg) is furnished in this paper. Certain characterizations of lattice ordered fuzzy soft group, fuzzy soft group ideal (dual) and fuzzy soft group prime ideal (dual) are attained. The relationship between fuzzy soft group ideal and lattice ordered fuzzy soft group congruence relation has been investigated. Moreover, fuzzy soft group ideal has been applied for finding best mobile network coverage in one’s long travel.

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Electropolishing (EP) process is successful for brightening of the surface and removal of roughness of AISI 304 stainless steel by controlling the conditions applied such as temperature, current density and time. Two electrodes system containing working electrode, as anode and lead plate as cathode was used where both electrodes were connected to DC power supply as a source of electric current. A mixture of phosphoric acid 55%, sulfuric acid 14% and water 31% was prepared with constant viscosity 11 mPa and used as the electrolytic solution into a glass cell. Gloss value (G) of the surface was measured and metal loss in mili gram/cm2 was determined after EP process, using different values of temperature, current density and time. SEM showed the improvement of the surface morphology and EDX analysis revealed the composition of the surface crust and the variation of Fe, Cr, Ni and Mn contents after EP process.

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One of the ways to improve the efficiency of Information Retrieval (IR) systems is through document clustering. The search result of an IR system can be grouped or clustered so that the retrieval is made faster. Efficiency of IR systems has to be improved without compromising the quality of clusters. This paper presents a comparative study of the quality of cluster results by solving the problem of document clustering using Ant Colony Optimization (ACO) algorithm and Cuckoo Search Optimization (CSO) algorithms. The results of experiments done on Clssic 4 dataset shows that both the algorithms are equally good in giving good quality clusters. The quality of clusters is measured in terms of F-measure and DB-index.

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There are various methods of curing concrete after casting. The most common method is curing by immersing in a water curing tank. This research involved the curing of concrete cubes in water/lime solution of water/lime as in the following proportions: 100%0%, 80%20%, 60%40% and 40%60%. 108 concrete cubes, with equal numbers of 36 each were cast at water/cement ratio of 0.4. 0.5and 0.6 for the 4Nos water/lime curing medium. The mix ratio used for the experiment was 1:2:4. The concrete cubes were crushed after 7, 14, and 28 days respectively to determine their compressive strength. The 100% water and 0% lime solution was used as the control curing medium for all the water/cement ratios. There is a general increase in the compressive strength of the concrete cubes at 0.4, 0.5 and 0.6 at 7, 14 and 28 days curing periods as the quantity of lime in the curing solution was increasing. The optimum compressive strength was obtained at 40%60% water/lime curing solution for all water/cement ratios and for all curing ages. The percentage increase at 7, 14 and 28 days was 52%, 20% and 22% at 0.4 water/cement ratio, which had the highest compressive strength. At 0.5 water/cement ratio, the percentage increase in compressive strength was 35%, 7% and 20% at 7, 14 and 28 days respectively, while at 0.6 water/cement ratio the percentage increase in compressive strength was 60%, 19% and 29%.

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Brine water- which derived from seawater reverse osmosis reject water (SWRO), has an high amount of dissolved solids (TDS). Brine water also contains NaCl concentrates, that in huge quantities has certain economic values, as a raw material in chlor-alkali industry, the regeneration of resin-ion exchange and any other substantial benefits. The early stage of NaCl recovery process from reject water starts with separation phase of NaCl from various mineral impurities exist mostly in Calsium and Magnesium. The main purpose of this research was to discover optimum condition of natural flocculant Moringa oleifera (MO) on decreasing impurities mineral brine water from SWRO reject water, so that it could produce NaCl solution high concentrate. In this study, response surface methodology (RSM) approach was used to optimize concentration of NaOH as precipitant, flocculants dosage and flocculation velocity gradient (G), and the results will be measured as maximum decreasing of TDS impurities. The final result of this research shows TDS impurities is succeeded to be decreased by the Moringa oleifera’s extract in the amount of 84-90%.

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As light weight and high strength material, carbon nanotube (CNT) has a high potential used in wide range of application to increase the strength of material like Aluminum which is already used in many area. To understand interaction of CNT-Al, we conduct In Situ heating experiment up to 800C, during heating the process was observed in Transmission Electron Microscopy. The results shows that deformation was occur in Al.

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This project shows an application of engineering in the automation of a workshop process such as the winding of transformers, using for this the use of microcontrollers, analog electronics and basic mechanics, for this is done a prior study of the most relevant needs In the winding process, the most efficient and low cost technologies are used, resulting in the prototype of a machine able to perform a precise, clean and fast work, improving not only the quality of the product, but also the quality of life Of the operators.

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This work proposes and demonstrates a bent multimode interference (MMI) sensor for refractive index and temperature measurement. The MMI structure was fabricated by successive splicing between single-mode-multimode-single-mode (SMS) fibers. A droplet-like bent was introduced in the multimode fiber section for excitation of modes into the acrylate coating. The excitation of higher modes into the acrylate coating is particularly interesting due high thermo-optic coefficient of acrylate which could improve temperature sensitivity, while evanescent field interaction of modes at the acrylate surface with surrounding material could be used for refractive index sensing. These modes experienced phase changes due to temperature and/or refractive index changes, consequently shift the spectra of the sensor. The sensor structure was simulated using BeamProp software to determine the required bending to excite light into acrylate coating for sensing. In experiment, a 3.5 mm bent sensor demonstrated refractive index sensitivity of 42.41 nm/RIU tested with refractive index between 1.30-1.395. Meanwhile, temperature sensitivity of 1.317nm/°C was attained using 5 mm bent sensor between 25 °C to 35 °C. The low cost and simple sensor structure is desirable in many applications including for detection, diagnosis, and determine of health, safety, environmental, liquid food, and water quality control.

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Wireless Sensor Network (WSN) deploys for remote monitoring applications namely healthcare monitoring, finance and military. The nature of WSN in certain application makes it impossible to inspect and repair the nodes physically at certain times. In such cases, an unwanted user can associate to the node and retrieve crucial information. Moreover, conventional routing mechanism include Dynamic Source Routing (DSR) scheme to transmit data to destination. In DST routing scheme the whole data shift from one node to other node. The routing mechanism pose a disadvantage when network deal with confidential data. We propose, a Game theory routing scheme to forward data to destination with secrecy. The objective is to transmit data to destination under compromised node condition, without sacrificing network parameters namely throughput, network lifetime, end to end delay and packet delivery ratio. The proposed routing scheme is simulated and the same implement in hardware for comparative analysis and validation.

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This article discusses the issues of increasing the reliability of loaded machine parts by modifying the surface using laser heating. In order to increase the durability of vehicle differential axle a method of surface modification has been considered, which combines advantages of discrete alloying of steel surface upon laser heating, diffusion metallization, and nitriding. Combined technology of surface strengthening of engineering steels is proposed, which is comprised of laser alloying with chromium, subsequent diffusion metallization and nitriding in environment of dissociated ammonia. It is demonstrated that preliminary local alloying makes it possible to decrease processing temperature and to obtain diffusion layer thickness in two times higher in comparison with conventional procedures. Nitriding of surface alloyed steel 40Kh (0, 4%C, 1%Cr) increases microhardness of strengthened layer up to 17.5 GPa, promotes formation of transient layer which positively influences on wear resistance of parts, increases their durability.

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Due to the hardship of expedition, instability, and fluctuation of rough weather, continuous walking, hassle and mental stress during the Hajj at Makkah in Saudi Arabia, many pilgrims get injured, sick and tired. Besides, those who are suffering from various chronic diseases may also contract severe heart, chest, abdominal, and kidney diseases along with some infectious diseases like influenza and thus complicate the overall physiological functions of the patients. Other than the problems of diseases, overcrowd at religious sites also cause other noteworthy problems including trauma, missing and lost pilgrims, and even death. And so, it is a vital issue and a big challenge to provide the best healthcare facilities and services for pilgrims and their real-time monitoring during Hajj. Wireless body area network (WBAN) is a promising technology for healthcare. But, providing suitable communication network between WBAN and healthcare providers is another challenging issue. Modern information and communication technology (ICT) systems can make it feasible that WBANs will connect itself to the Internet to transmit data and efficiently administer the proper delivery of healthcare services among the pilgrims during Hajj. Therefore, integration of the medical technology and ICT in the healthcare sector is a prominent research issue especially for WBAN. However, the coverage of a WBAN is limited to only about 1-2 meter. Therefore, to largely extend its coverage area it should interwork with other wireless networks which will facilitate connectivity between those sensor devices of WBAN and the outside world. Due to the limitations of self-expandable, self-configuring and self-healing nature of other existing conventional wireless communication technologies, wireless mesh network (WMN) is the suitable and potential communication technology for transferring pilgrims’ health information to the healthcare stations crowd environment at Hajj ritual sites. WMN, due to its self-expandable nature can be deployed with WBAN during Hajj for pilgrims’ health monitoring which requires extending the coverage of the environment. Therefore, the main objective of this research is to design a conceptual healthcare framework for pilgrims’ health monitoring during Hajj by integrating WBAN and WMN technologies.

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The Yakovlevsky iron ore deposit is one of the largest discovered deposits of high quality ore with the content of pure iron in the ore up to 70% and low content of harmful impurities (sulfur, phosphorus, etc.). The deposit is characterized by complex hydrogeological and mining conditions. The steep thick deposit is represented by (up to 50%) loose and semi-loose ores with the ultimate strength for uniaxial compression between 0.3 and 3 MPa and the presence of high-pressure aquifers. The paper considers the structural peculiarities of the ore deposit and enclosing rocks of the Yakovlevsky deposit of rich iron ores (RIO). Mine workings and interfaces stability observation data have been shown. The recommended parameters of fiberglass roof bolting for mine workings under the filling mass for the conditions of the Yakovlevsky deposit have been justified.

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Soft set theory was proposed by Molodtsov, it has been regarded as an effective Mathematical tool to deal with uncertainties. In our regular life we frequently faced some realistic problems which needs right decision making, to get the best solution of these problems we need to consider various parameters relating to the best solution. In this paper we study some basic definitions, prepositions and tabular representation of G-neutrosophic soft set by introducing a parameter G to the neutrosophic soft set, in which the parameter set G indicates the brand of the articles or goods.

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The aim of this study is to apply a PID auto-tuner to the FOT device and test whether the controller can follow a multisine reference input. The objective is that the nonlinear effects and distortions coming from the FOT device itself are corrected by the control action, such that the excitation signal of interest is delivered to the patient. In this phase, the closed loop control will be designed for a hypothetical patient: a respiratory tube and a rubber balloon. The underlying reason is because it is necessary to ensure repeatability of the experiments, in order to check the feasibility of implementing a closed loop control strategy in the lung function device. The final aim is to develop the closed loop control for the case when the patient is breathing.

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Cloud computing is a scalable and flexible environment that delivers economical computing facilities to clients based on queries. Response to query depends upon the speed of pattern matching, error correction, and resource allocation during query processing. The algorithms for query processing, sequence alignments of data from NCBI, EMBL, DDBJ and storage of recurring complex enquiries, are complicated and time consuming in the HADOOP framework. In order to obtain secure, swift and consistent response to queries, multi-agents have been introduced as a substitute for Job Tracker. They enhance the pace of query handling, allocate tasks to the Task Trackers, boost fault tolerance and increase reliability. Multi-Agents have also been deployed amid user and Agents, in the middle of Agents and between platforms to provide security measures. Agent development is done following the FIPA (Foundation for Intelligent Physical Agents) standards, using FIPA ACL (Agent Communication Language).

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In this paper, enactment of an indirect vector control induction motor (IVCIM) has been studied with proportional plus integral (PI), fuzzy logic and neural network (NN) based controllers. Putting into practice of PI, fuzzy logic control and Neural Network predictive control for studies of parameter of speed in IVCIM is termed under dissimilar operating conditions of induction motor. Simulation results of IVCIM have been carried out in MATLAB. Stator currents, electromagnetic torque and rotor speed of IVCIM have been examined using three controllers. A comparative performance analysis of IVCIM with three dissimilar controllers with load has been deliberated.

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This paper proposed the application of vision algorithm using shape-based matching approach to investigate various approaches for automated inspection in gluing process. This approach to identify the defect occurs in gluing process in automation industry. The processes involve using new supervised defect detection approach to detect a class of defects such as gap, bumper and bubble defect. The combination of creating of region, Gaussian smoothing and template matching being implemented in shape-based matching to provide provides high computational savings and results in high defect detection recognition rate. A new low-cost solution for gluing inspection is also included in this paper. The defects occur provides with information of height (z-coordinate), length (y-coordinate) and width (x-coordinate). This information gathered from the proposed two camera vision system for conducting 3D transformation. Results regarding this method approximately 95.4% recognition rate better than other researchers in welding and fabric field approximately 94.3% and 92% respectively. This result is based on 15 tested images with approximately 100 defects occur and being tested for 10 times to get better recognition rate.

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Decreasing oil and gas reserves and increasing sensitivity of consumers to environmental protection force automotive industry to research possibilities of alternative technologies. Herewith, application of fuel cells in automobiles can not only make significant contribution to environmental protection, but also provide cardinal improvements of vehicle quality in general. This work discusses main trends of development of vehicles with alternative energy sources. World experience in development of electric and hybrid vehicles as well as hydrogen vehicles is analyzed. The main advantages and disadvantages of energy efficient and environmentally safe transport are reviewed. Main trends and aspects of development of promising infrastructure are classified and considered. World experience of development of various systems of accumulation and storage of electric energy is analyzed. Forecasts of development of vehicles using alternative energy sources are overviewed.

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Grid computing environment consist group of heterogeneous resources which provides different services to the user. Grid computing applications require lot of computation power and will perform longer tasks. Present grid computing system has a shape which is inflexible in terms of setting up an ad hoc component. To overcome this here we proposed an approach introducing Agents with Gridsim simulation toolkit (Grid computing environment). Computational grid has objectives that are to coordinate, share, and distribute different resources to work on one computational job. Gridsim tool kit has the flexibility and extensibility. Agent is hidden in the computer system that is situated in grid environment. This paper improves performance of 75% users and increase transfer rate in grid information service.

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This article discusses the use of neural network technology in diagnosing problems of the technical state of turbo generators for power stations spectrograms vibration measurements. Two tasks were solved: filtering noise in the measurement data using a linear neural network and diagnosing (classification) the technical state of turbo generators based on the analysis of spectrograms of vibration measurements using a perceptron type neural network.

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Most of the new energy furtherance in wind, sun, oil, gas, nuclear and hydroelectricity includes underwater infrastructure. All underwater infrastructure requires routine inspections for long haul care from corrosion. Underwater investigations were arduous, troublesome moreover risky. In order avoid the unpropitious incidents, a new digital image processing strategy was proposed in this article to investigate underwater infrastructure. A hybrid image processing algorithm developed by incorporating Poisson-Gaussian- Mixture distribution, Fuzzy Segmentation, and weak-classifier Color based (WCCD) algorithms to detect Corrosion in underwater infrastructure. The proposed algorithm along with the Remotely operated underwater vehicle in detecting the corroded spot show adequacy in recognizing the corroded spots in the underwater infrastructure.

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The purpose of the study was to establish the adaptive and economic-biological characteristics of the Holstein cattle of different ecological-genetic types and the efficiency of the use of new feed additives "Stimul" and "Bischosulfur" in rations of lactating cows. The experimental part of the research was carried out in the period from 2006 to 2015 in the Volgograd region of the Russian Federation. The object of the study was the Holstein cattle imported from the USA, Denmark, Germany, Australia. The results of the study showed that animals of American and German breeding possessed a higher level of natural resistance and adaptability to specific features of the natural and climatic conditions of the region. However, while providing conditions conducive to an increase in the timing of economic use of Holsteins of different breeding, preference should be given to cows of Danish breeding. By the level of economic efficiency of milk production on average for five lactations, the cows of this selection exceed the United States, Germany and Australia selection peers by 8.4%, 3.7% and 10.8% respectively. To increase the economic efficiency of dairy production on the complexes, it is advisable to introduce innovative feed additives "Stimul" and "Bischosulfur" from the calculation of 100 g per head per day into the ration of feeding lactating heifers, which will increase the productivity of animals by 4.72% and 3.14% for lactation, an increase in the fat content in milk - by 6.54% and 4.41%, protein - by 5.97% and 3.75%. At the same time, the profitability of dairy production will be more by 6.4% and 4.1%, respectively.

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The government of Indonesia has rolled out the acceleration program for the construction of power plants to increase the rate of electrification in Indonesia. Coal fired steam power plant is the most widely constructed to support this program and it’s became the largest of total installed capacity in Indonesia. This research aims to obtain alternative of maintenance strategy in accordance with existing conditions in Indonesia. Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) used by obtaining criteria, sub criteria and alternative options acquired from the judgment and opinion from 10 experts in power plant. Experts are asked to do a pair wise comparison process to determine which criteria according to experts is more important than the other. The result of the pair wise comparison process is then used as input of the AHP process to determining the weight of each criterion which is used to determine the normalized matrix to be used in the process of the TOPSIS method. This research obtains an approach maintenance strategy to be applied for the steam power plant in range of capacity 300 -625 MW in Indonesia.

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A novel technology Memristor is one of the most promising in the view of their low power consumption, good scalability, and state retention without need of power supply, simple cell structure, nonlinear functionality and compatibility with CMOS technology. From circuit model designer's point of view, any model is to be simple and at the same time, it is as complex as to produce the device properties and applications. The Memristor modeling is challenging task because of the linear and nonlinear complexity of the mechanism. we design, reliable SPICE Memristor models with threshold switching functionality by using physical parameters and mathematical equations that works based on quantum tunnelling phenomenon provides nonlinear do pant drift and exhibits threshold voltage switching effect with accurate Memristor simulation characteristics over a wide range of input voltage and frequency.

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The main focus of this paper is to draw the interaction and direct effects on longevity at birth through the Vital indicators of India and its States. Observed that few demographic and Socio-economic factors which have been influencing growth of the country. This research paper is mainly designed to bring readers attention on demographic and economic status of India as well as Kerala compared to other Indian states. Through this paper author put an attempt to on contribution or impact of demographic and socio-economic factors on growth rate of India. The information about Vital Statistics has been collected from the sources of Government Offices and previous research articles of Economic Reviews. Conclusion have been drawn the rate of demographic indicators of Kerala has been drastically increased. Although it has been better in social, economic, cultural and Health factors; thus, well-being of Kerala as compared to other developing and developed countries also. Employed descriptive methods, multiple correlations, Regression and Fitted Trend lines; Utilized R software for the Statistical analysis.

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Recently, there has been an increased demand for aluminum in the Russian and foreign markets due to the rapid development of many technology-intensive industries. Due to the fact that the amount of manufactured aluminum increases every year, intensive development of the raw material base in the aluminum industry in required, which entails development of yet undeveloped horizons, and development of the parts of developed deposits that are usually located at greater depths in complex geological conditions and, accordingly, the use of efficient measures for maintaining mine workings, one of which is the use of earthquake-proof support design. The paper proposes the optimum design of earthquake-resistant supports for the mines developed in complex mining-geological conditions; this design has successfully passed tests at domestic mines in the conditions of dynamic forms of rock-pressure manifestations.

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To develop qualitative software products in a given schedule it is necessary to estimate the software effort. The effort estimation is helpful to the project managers to determine effort required to complete qualitative software products. In this paper we proposed a novel linear regression model based on software size metric. We applied proposed regression model on 60 real time BPO projects. The proposed regression model considers a linear relationship between size and effort. To validate the accuracy of regression equation, we calculated R^2 value. We used MMER and PRED(x) to calculate error rate and made comparisons with standard models. The proposed model has shown much closed and better results against some standard estimation models.

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In this publication, a comparative assessment of air pollution from sources of heat supply systems for a different type of development was carried out. A qualitative and quantitative assessment of the sanitary and hygienic indices of the air basin state is provided for the location of heat generating plants. Based on a comparison of quantitative characteristics, one can obtain the results of comparative calculations and the main qualitative indices of the technical solutions under consideration. The characteristics of the source of heat in each particular case were determined by the power of the heat source and the technical characteristics of the chimneys. It is revealed that the change in the dispersion zones taking into account the "wind rose" does not have a significant effect. It is received that the overlapping of dispersion zones in the housing and cottage heat supply is due to the density of construction and must be taken into account when developing architectural and planning concepts and technical solutions for heat supply.

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Prevention of victims and losses due to earthquake disaster can be done earlier through the use of information media that are currently popular and widely used by the community, such as mobile phone communication. Educational game is a game-based learning. The game has a fantasy element that involves players in learning activities through an narration or storyline. Application of earthquake disaster mitigation is an educational game that is useful to add insight, knowledge, and understanding of children in the effort to overcome the impact of earthquake disaster. This study aims to build an educational game application on the Android platform as a learning medium for earthquake disaster mitigation and the basics of safety in the face of earthquake disaster in a more interesting and fun way. This educational game application has a video about the simulation of earthquake and earthquake mitigation video accompanied by game consisting of 3 stage that is before, during and after earthquake. This educational game application is expected to provide basic safety information in dealing with earthquake disaster for elementary school students.

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Composite materials, combination of two or more different constituents with different properties, find extensive use in transport and space vehicles due to their high specific strength. This paper explains about the effects of tri-bological properties on jute fibre reinforced by E-glass fibre. In this deterioration test is conducted on sunlight. Fatigue test is done to find the cracks. Wear tests are done at different angles in order to find out the highest wear out. They are subjected to tensile and hardness test and surface morphology is carried out for the specimens.

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This article discusses theoretical foundations and engineering approaches to capturing and conservation of seasonal cold potentials by means of phase transformation of heat intensive materials and synthesis of energy intensive chemical substances for subsequent usage in multifunctional heat supply units on the basis of heat pumps. This article estimates possibility and develops methods of cold potential accumulation in the form of heat of phase transition of various substances, as well as in the form of chemical bonds, the most optimum cold accumulating substances have been analyzed and selected, their required amount for demands in conditioning of individual residential building has been calculated, the main testing principles of cold accumulator are described.

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The first task for object detection and recognition is image segmentation. This process is initialized with boundary detection. In this paper we propose a boundary detection method based on standard deviation value of intensity within the window. We assume that the low value is similar color where the computation process occur on the same object. While the high value, the computation process will occur on the object’s boundary or edge. In this research we compare to other methods to evaluate the performance of proposed method. The experimental result, by using window size of 3?3 pixels, our method’s computation time is 66.54 ms and using window size of 5?5 pixels, the computation time is 67.39 ms. Video rate is 15 fps. Processing with the proposed method yields less noise compared to other method, both for color and grayscale processing.

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In this paper, we extend the queuing model of priority classes to the fuzzy environment where the uncertainty is resolved by fuzzy set theory. A parametric programming problem is constructed where the Trapezoidal fuzzy numbers are introduced for the arrival rates and service time of the fuzzy queue. By the a-cuts, we obtain crisp values from the fuzzy queues with the help of Zadeh’s principle. To establish the performance measure of the model, a numerical example is given.

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Researchers, academicians collaborate in academic institutions to perform research. Most of the time, the outcome of this collaboration is in the form of Co-authored paper publication. The Co-authoring of research papers can be modeled as a network. In this context, many works have been done about the link prediction in Co-authorship networks. To predict whether a link will appear or not, each pair of nodes within the network is assigned a score called similarity or proximity. The links having higher similarity score are supposed to be of higher existence likelihoods. So far, majority of previous works in link prediction focus on the application of similarity measures such as Common Neighbors, Jaccard Coefficient and Simrank, in order to predict new connections in the future. To analyze and understand any evolving network, it is necessary to study not only the link formation but also the link dissolution. Link dissolution is a relatively new problem. This paper addresses Unlink Prediction based on (1) Social Embededdness with Network Overlapping and (2) Social Embededdness with Triadic Analysis. The experiments are conducted using the bibliographic dataset from DBLP-ACM. The results shows that the proposed work performs better in terms of Precision and Recall.

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This research is a review on previous work on linear elastic behavior of beams resting on uniform and non-uniform Winkler foundation. Several methods were used previously by other researchers starting from analytical and numerical such as series, finite difference and finite element formulations which are developed to solve various problems. The finite element method is formulated previously by using beam, plate and solid 3D elements to model beams and spring elements to model Winkler foundation in the past. Also, the finite difference coded in MATLAB and Fortran was used to formulate the problems to deal with various variables using Gauss Jordan and Gauss elimination to solve them and to compare with the results. Also, the Fourier series coded in various computer program to obtain the results and used to check and compare with the results obtained from other methods. In both methods, Fourier series and finite-difference, the formulations are based on the basic differential equations. The results obtained from previous studies using different methods are given and discussed together to compare and check the accuracy of the solutions. Good agreement is found in these methods, which indicate the efficiency of these methods which was used by previous studies.

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A current trend in nowadays metallurgy is to create combined technologies that cover several metallurgical treatment procedures or various operations performed on a single device dedicated to manufacturing required products and thus ensuring the manufacture of competitive products at minimal production costs. The forms in which the technological operations in metallurgical production are combined may vary. Most effective is the combination of casting and plastic metal working processes. However, during the crystallization of molten metal in an annular groove of the disc and subsequent pressing, a considerable amount of heat is generated, and part of it shall be removed to establish the isothermal conditions while carrying out the continuous casting and pressing process. Otherwise, unstable temperature in the pressed articles exiting a die channel may lead to mechanical properties' dispersion and the distortion of their geometry in length as well as at cross section of the pressed articles, thereby lowering the products' quality. It should be noted that the pressed article is destroyed when a temperature similar to the melting temperature of the pressed metal is achieved, which shall be considered as an ultimate defect. Moreover, increased pressing temperature decreases the strength of the tools, which leads to their premature failure. One of effective ways to solve this problem is forced cooling of both the pressing tool and metal section. This paper presents various technical solutions aimed at solving this problem.

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Model Predictive Controller (MPC) is one of the advanced methodology in current control engineering which has become the attractive strategy that deals with linear/non-linear dynamic behavior of the system. Linear MPC approach is used in this work for the quadruple tank system by taking the lower two tanks into account. The aim of this work is to design and investigate the predictive controller for controlling the level of tanks in a quadruple tank process based on constrained and unconstrained type of problems. Various disturbance scenarios were also applied and proved by controller to show a good response to disturbance rejection. The best possible control is achieved by tuning the parameters of MPC based on a tuning algorithm. The controller is thus designed in the MATLAB environment and according to the gathered simulation environment results, the applied control method were best suitable for obtaining optimal control and the results were analyzed by performance measures.

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Milling of T6-6061 aluminium alloy material is a complex and challenging process due to the difficulties in finding the optimum milling process parameters for achieving the desirable properties such as surface roughness and optimum tool life. The parameters selection is generally based on the skill and knowledge of the technicians involved and number of time consuming trial and error runs. The experiment presented involved measuring the acoustic emission during the milling experiment with different spindle speeds and feed rates. It has been found that spindle speeds and feed rates have the highest effect on the cutting of the aluminium alloy thus also influencing the tool wear.

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In this article we present a suitable EOQ Inventory model for deteriorating items having time dependent demand, allowing shortages. We have considered a variable deterioration rate which is sensitive to changes in time. The demand rate is assumed to be a quadratic function of time. The permitted shortages are considered to be partly backlogged. The backlogging rate is changing and reliant on the length of the following renewal. The mathematical formulation of the model is first developed and solved analytically to minimize the average inventory cost. Finally we have discussed the proposed model with a numerical example and analyzed its sensitivity to change in parameters.

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A big margin of the handicapped people still do not have the same possibilities to express themselves and further advance their personality as the majority of the population. The control and use of smart phones proves to be a big challenge for them. Applications controlled by speech serve as a substitution to the finger controlled based applications that dominate the market. Through the use of such applications the handicapped have the chance to experience the life of the unburdened. Based on those implications the development of an application to support the artistic needs of the handicapped was imminent. The developed application achieves the support by being fully controllable by speech. The development proved to be a possibility but the limiting factors of the mobile phones and the pocketsphinx library hindered any groundbreaking results. Nonetheless the application allowed for a base research on the still small field of accessibility applications.

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In this paper, we investigated the approximate analytical solution of non linear ordinary differential equations system using Homotopy Perturbation Method (HPM). These analytical solutions are representing a simple form of the system’s description allowing easy curve fitting to experiment. Numerical simulations are represented to provide the detailed results.

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The paper contains description of a unified library of artificial intelligence intended for optimization the combinatorial problems via metaheuristic algorithms. This library can be useful for practical applications in various sectors of industry and economy. The structure of the library allows creating a large number of optimization population algorithms including the genetic algorithms, the ant colony algorithms, the bees algorithms and many other algorithms based on bionic optimization models. All necessary requirements for realization such algorithms are described in details. In the paper is given the architecture of designed unified library of artificial intelligence algorithms, providing the ability of modeling a variety of intelligent algorithms and creating on its basis the combined and hybrid optimization algorithms for control problems and decision-making in organizational systems.

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In today’s world, women and girls still feel unsafe to travel alone whether it is a day or night. Now-a-days women are been attacked by men irrespective of their ages. Women are facing various problems which include robbery/theft, rape, molestation, eve-teasing and various other difficulties. Keeping this in mind, a device has been modeled which offers a hands-on help to the women in danger with a single press of a switch/button. This device helps the women in danger to be easily located with the help of global positioning system (GPS) and also messages and calls are given to alert their respective emergency contacts which are already stored in the microcontroller using global system for mobile communication (GSM). Hence this device serves handy when any women traveling outside feel insecure about her surroundings. The benefit of this system is that it provides the exact location (both longitude and latitude) of the person in danger.

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