Volume VII Issue XII

The paper presents a study on thermal behaviour of geopolymer concrete, also the effect of core temperature with applied heat on surfaces which influences the phase polymerization. Geopolymer concrete is made with source material fly ash and alkaline activator made of Sodium Silicate with Sodium hydroxide solution made of 12 molar concentration. Ingredients are mixed thoroughly and cast into cube of size 150mm x 150mm x 150 mm. Two methods of curing were adopted; ambient and steam curing. Both the temperature based specimens were compared in thermal aspect. Density of the specimens were calculated in reference to calories. Percentage of weight attained at regular intervals are observed. Cubes were kept in steam accelerated chamber at the temperatue of 80 ͦC and the rest were kept at ambient curing. The variations in their internal temperature with respect to time was recorded. It was observed that the weight of the specimen increases as the time increases.

India being the second largest growing economy country in the world, in part with other developed activities, road infrastructure is developing at a very fast rate. The spurt in the growth of traffic and overloading of vehicles decreases the life span of roads laid with conventional bituminous mixes. This also leads to the reduction in the riding quality resulting in exorbitant vehicle operating cost and frequently maintenance interventions due to premature failure of pavements. As India is a tropical country so a layer to resist the temperature changes must be designed. Thus, research has to make to improve the surface layer characteristics to attain durable pavements. The lifespan has an inverse relationship over vehicle loadings. Thus, we engineers need to implement a cost-effective alternate for the positive effect on the maintenance aspect and resistance to distresses induced in the pavements; one of mixture which fulfills these criteria is SMA. In the present study the performance of Stone Matrix Asphalt (SMA), with the usage of Carbon fiber and Glass fiber under the influence of change in nominal maximum aggregate sizes based on Indian specifications has investigated .Comparison of drain down results at varying finer contents with 7% bitumen at 1600C and 1700C temperature and comparison of stability, flow and volumetric properties of SMA mixes, VG30, Carbon fiber and Glass fiber by using Marshall Methods has done.

This paper presents the application of machine learning for digital recognition of identical twins. The main aim here is to present a novel episteme that will differentiate two similar suspected faces of different identities using bag of features. The process includes face detection, extracting bag of features among other image processing techniques, training, classification and result prediction. Some existing bibliographies will be reviewed, analyzed and a new system will be proposed. This work will highly improve criminal forensic investigation, eliminate impersonation, and stop mistake identity arrest of suspect to mention a few among other importance and applications. The implementation and result will be demonstrated employing mathlab development tool.

Most of the industrial loads such as induction motors are inductive in nature and hence have low lagging power factor. Around 60% of the utility load consists of motors and hence the overall power factor of the power system is low. The low power factor is highly undesirable as it causes an increase in current, resulting in additional losses of active power in all the elements of power system from power station generator down to the utilization devices. This paper describes the power factor can be improved by connecting the synchronous motor operated in an overexcited mode in parallel with the industrial loads operating at lagging power factor. The designed industrial load is 8 TPH rice milling plant consists of unity power factor loads 250 kW (lighting loads and other loads) and induction motor loads 350 kW, efficiency 96 % at power factor 0.7 lagging. In this paper, the appropriate rating of synchronous motor is selected to compensate the reactive power and improve the power factor of rice milling plant from 0.7 lagging to the region within 0.95 laggings and unity.

Deep neural networks (DNN) are an artificial neural network that imitates the working of the human brain in processing data and use it for decision-making. Nowadays, DNNs have achieved a great success in various image classification and recognition tasks. However, one of the main issues with deep neural networks is its huge computational cost and storage overhead, which constitute a serious challenge for small devices, exceeding the computing limit of those devices. During the past few years, tremendous progresses have been made in this area. In this paper we survey the recent advanced techniques for optimizing inference in DNNs through various techniques.

Internet of things (IoT) is becoming an integral part of our daily lives with more data being generated about our daily activities both humans and things than ever before. If we look at the data as the raw materials of our digital age, it is easy to see why the organization, government and industries value it highly than other areas of application. Data sharing needs to be voluntary with the individual agents having a thorough understanding of what is being shared with whom and for what purpose. It follows naturally that protection of these data is very crucial as data collected with a good intent can cause harm if it gets to the wrong hands. The paper presents the protocol architecture, the technologies and applications of IoT in different areas, the security challenges in internet of things (IoT), the vulnerabilities and proffer appropriate measure to counter the security threats and attack.

To reduce the human efforts and for the efficient way to do the work and for the safety purpose this multiple purpose robot is used. Even if machines are used, a single machine cannot be used to accomplish a range of operations. Multiple machines inherit problems of synchronization and hence lead to enhanced maintenance costs. This robot can move all around the industry to inspect the work in ‘Industry-like’ environment and carry out multiple operations like temperature sensing, pressure sensing, smoke-alarming, video transmission etc. seems to be a perfect solution to address the above problem. Implementation of such a robot has been made possible by controlling the wheels of the robot through a computer interface. Sensors on the robot can be customized based on the application. The usefulness and applications of such a robot in industries is found in different fields of interest such as remote sensing, alarm generation, security industrial inspection, and surveillance. Hence this robot, with many utility functions, is truly a ‘Multi-Purpose Robot for Industrial Inspection and Surveillance’.

I. INTRODUCTION Everyone is interested in proving that a particular picture is taken by his/her camera, in order to claim the property. Moreover, In general a picture was taken by particular camera, but it is very important element for decisions in court and It cannot rely on Meta data (EXIF tags) which can be easily manipulated. It is noted that in 2015 more than 1.8 billion images published on the internet each day [12], and this trend is going more and more each day. Source Identification majorly relying on the Photo Response Non-Uniformity (PRNU) pattern, it is stable in time, it is originated by the inevasible imperfections occuring during the sensor manufacturing process. Since each picture is taken by particular camera has traces of PRNU Pattern, It can be credible and plausible identification, Image Falsification detection and also improving recognition algorithms.

The study assessed the correlation between the tensile strength and hardness of each of steel and aluminum alternative ship hull construction materials in use in ship building in Nigeria shipyards. It also compared the hardness’sof aluminum and steel as well as their tensile strengths.Since the mode, frequency and nature of failure of ship hulls has relationship with the tensile strength and hardness of its material of construction which among other things influences the demand for ships of differing hull material types; determining the nature of relationship between the tensile strength and hardness of specific hull material types will provide knowledge on how best either of the hull material properties may be improved without compromising the other in the drive to build stronger, more reliable and durable ships in local ship yards. The experimental and case study research design methods were employed in which the hydraulic powered universal tensile test equipment was used to determine the tensile strengths of specimens of steel and aluminum ship hull materials obtained from West Atlantic Ship yard, Starz Ship Yard and the West African Ship Yard sampled from the Port-Harcourt ship building cluster in Rivers state Nigeria. The hand held hardness testing equipment and the Rockwell hardness test method were used to determine the hardness’s of steel and aluminum hull material specimens collected.To limit error, each test type was carried out four times on each hull materials type from each ship yard and readings were taking from which the averages were determined for purposes of analysis and findings. The statistical correlations methods of spearman’s rank correlation and Pearson’s correlation were used to measure the nature of correlation between the hardness and tensile strength of each ship hull material type. The independent sample t-test was used to compare the tensile strengths and hardness’s of each of steel and aluminum hull material in use in the ship yards. It was found that a perfect strong positive correlation exist between the hardness and tensile strength of both steel and aluminum ship hull material types indicating that the hardness of each material increases as the tensile strength increases. The comparison of the tensile strengths and hardness’s of steel and aluminum materials in use for ship hulls in Nigeria each showed a significant difference in favour of the steel hull. Recommendations were proffered based on the findings of the study.

Power distribution problems such as outage and load losses have significant effects on sub stations. The perennial problem of electric power outage in Nigeria has adversely affected every sector of the nation economy and efforts must be made to fathom the technicalities associated with these outages and load losses. Spectral clustering is a popular data mining paradigm that is currently considered both as an effective practical tool for data analysis and also an active area of research. This study seeks to apply eigenvalue approach to determine the effects of each injection work station on Oshogbo transmission station. The process of obtaining eigenvalues and eigenvectors from power outages and loadlosses data made the eigenvector to appear like a dashboard where various interpretations were made.Our results show that Omuaran which is the nearest station to Oshogbo transmission centre with a distance of 3.7km has the highest eigenvalues (power outage=2.7054, load losses=3.1686) and appeared to be the hub of load losses and power outages in the region.

FRP composites are widely used in marine applications because of their good mechanical properties, resistance against weathering and higher resistance to atmospheric deterioration as compared to conventional metals. FRP composites can be prepared by variety of manufacturing techniques and hand layup process is the most economical technique among them. This study mainly focuses on the effect of aqueous environment like normal, distilled and sea water on tensile property of GFRP composites which consists epoxy of L-12 grade as matrix material reinforced with E-glass fibre manufactured by hand layup process. This experimental study focuses on the effect of silicon carbide particles of 400 mesh size. Also, tensile test was conducted on GFRP composite with and without filler material subjected to aqueous environment for 24 days.

A wide range of fabric groups were subjected to different treatments viz., heat setting, alkaline oxidation, alkaline hydrolysis etc., The fabrics were tested for KES.F data. Biplot clearly distinguished the group of fabrics (in clusters) based on their low stress mechanical properties. Complex data related to aesthetic and functional property can be well analysed by Biplot.

The level of development of countries is now measured by the amount of energy they consume. The more energy a country consumes, the more advanced it is called. The best example for this issue is the energy consumption of countries in the African continent and the energy consumption of the countries in the European continent. The energy consumption of the countries in the African continent remains very low, as well as the energy consumption of the countries in the European continent. The level of development country is parallel to the consumption amount of energy which they use. According to the countries on the continent of Europe, the energy of monocrystalline solar panel to be installed in Antalya / Turkey will be calculated by using the package program. In order to calculate this, monthly sunshine duration and monthly radiation values of Antalya province were taken from the meterology general directorate. How long a monocrystalline solar panel with these values is on a monthly basisenergy production is shown in tables.

This paper presents the various sensors and their usage with the microcontroller. Few of the sensors that are available in market are wired with microcontroller along with other supporting modules or devices to study their working. Each sensor has a unique way of operation, code (sometimes include library files), connection and area of application. Arduino Uno, a microcontroller board based on ATmega328 is used.

Common river sand is expensive due to excessive cost of transportation from natural sources. Also large –scale depletion of these sources creates environmental problems. In such a situation the manufactured sand can be an economical alternative to river sand. Manufactured sand can be defined as residue, tailing or other non-valuable material after the extraction and the processing of rocks to form fine particles less than 4.75 mm. Use of manufactured sand as a fine aggregate in concrete and mortar draws serious attention of researchers and investigators. In this paper the various durability tests are discussed for M20 grade concrete with natural sand and manufactured sand as fine aggregate. The various tests performed are chemical attack, drying shrinkage, water permeability and rapid chloride ion penetration test. From the test results it is observed that the concrete blended with manufactured sand having good durability properties.

Solar panels are one of the most renewable energy sources. The limited reserves of fossil fuels lead people to renewable energy sources. Polycrystalline solar panels are the most preferred solar panel types among the solar panels. Even if the energy production is not as efficient as monocrystallion, it is more preferred because of the ease of production method and cheap cost. In this study, it has been calculated how much energy of the polycrystalline solar panel to be established in Antalya / Turkey which will produce with the package program. In order to calculate this, monthly sunshine duration and monthly radiation values of Antalya province were taken from the meterology general directorate. By using these values, the monocrystalline solar panel shows how much energy is produced on a monthly basis.

Absenteeism has been an issue for these small and medium sectors of businesses everywhere in India. Studies have found out various reasons for absenteeism and also have proposed solutions to the same. One reason for absenteeism at work could be due to the work environment and lack of benefits provided to employees at the work place. This paper focuses on the conducive work environment and the number of benefits that employees get during their work schedule and whether it helps firms in controlling absenteeism.

Rainfall erosivity is the ability of rainfall to cause soil erosion through detachment and transportation of soil particles. This study was conducted to evaluate the relationship between rainfall amount and erosivity (R) factor in Bauchi, Nigeria. Three rainfall erosivity estimation models were evaluated using seventeen (2000 to 2016) years rainfall data. Monthly rainfall amount were collected from the Nigerian Metrological Agency (NIMET). The three erosivity models evaluated were Modified Fournier Index (MFI), Lambordi and Grimm Models. The rainfall erosivities estimated from the three models demonstrated similar trend with the time series of the mean annual rainfall amount. The results obtained showed that higher rainfall amount for a particular year implied higher rainfall erosivities. Regression analyses performed showed that there is a strong and positive relationship between annual rainfall amount and rainfall erosivity calculated using the three models. Coefficient of determination (R2) obtained for MFI, Lambordi and Grimm Models were respectively, 0.73, 0.95 and 1.00. The study revealed that a reliable estimate of rainfall erosivity can be obtained using the three models.