This paper focuses the development of an automatic defect detection system which is a tool for fabric inspection. Textile Industry is one of the revenue generating industry of Tamil Nadu. The profit is affected by the fabric defects. Fabric defect detection is a major threat to textile manufacturers. Fabric inspection is important for maintaining the quality of fabric. In this process new detection technique is used based on NCSR algorithm. Digital cameras used to capture the fabric images. Gray level transformation converts the color image into a binary image. An Interval filtering technique used for noise removal. Adaptive Histogram Equalization methods used for image enhancement. Non locally centralized sparse representation algorithm adopted for defect detection.
The scheduling and imaging are used for efficient and economical ways of construction, there are several developing and designing software in construction. Virtual reality is now an emerging idea which is used in various areas. In the paper we could use developed modern software of GIS like 4D (3D geospatial + time component) in combination with AutoCAD to visualize the problems and eliminate various errors due to logic, time etc. Since we use 4D which is most effective and useful in analyzing, along with ARCMAP 10.2 which is used for finding the location and coordinates of the project providing digitized way of construction management. This is very useful for time management and easy understanding of various issues and errors in construction project visually.
The principle concern of this paper is to assess the effective design of green facade to reduce HAVC load and to provide thermal conform to user ,is computed by the detail analysis and stimulation. Building Integrated Green Facade (BIGF) offer new possibilities from the sustainable construction point of view, especially in energy savings and reducing the external solar radiation. green facade to intercept solar radiation was confirmed, observing differences up to 18 ºC in surface temperatures between sunny and shade areas on the wall of the building. The experiment carried over the college building (Kings College of Engineering ,Thanjavur, Tamilnadu ,India) In a first step only the South wall was covered by provisional green facade because it comparatively have more solar radiation.
The main aim of this work is to propose a novel Computer-aided detection (CAD) system based on a Contextual clustering combined with region growing for assisting radiologists in early identification of lung cancer from computed tomography(CT) scans. Instead of using conventional thresholding approach, this proposed work uses Contextual Clustering which yields a more accurate segmentation of the lungs from the chest volume. Following segmentation GLCM and LBP features are extracted which are then classified using three different classifiers namely Random forest, SVM and k-NN.
The process of recruitment in Human resource management has evolved greatly over the past few decades. With the invention of internet and development of web based channel, recruitment process has taken a new face called "E-Recruitment”. E-recruitment came with lot of advantages like generating large applicant pool, mass mailing, etc. Currently, majority of the profiles are sourced through job portals. In recent times, these job portals have developed complexity in recruitment process such us generating large but less reliable applicant pool, high subscription fee for the employers, delayed response, etc. In order to overcome these drawback, a new recruitment system is proposed by integrating social media (like LinkedIn, Facebook, twitter, etc.) and recruitment process. With the effectiveness and the power of social media, recruitment can be made more effective in terms of number of positions closed and time taken for closing an open position.
This study proposes a single-phase, 9-level, multilevel inverter (MLI) topology. The multicarrier, Phase Disposition (PD) Pulse Width Modulation (PWM) scheme is employed to generate the gating signals for the power switches. By controlling the modulation index, the desired number of levels: 3, 5, 7 and 9 of the inverter’s output voltage can be achieved. For modulation index of: 0.2, 0.4, 0.6 and 0.8, the proposed inverter configuration was subjected to an R–L load and the respective numbers of output voltage level were synthesized. The topology is self-voltage balanced across the series connected capacitors. The proposed approach helps in reducing the number of independent dc voltage sources. Also the harmonic content in the output voltage is very less when compared with conventional topologies. For a modulation index of 0.8, a Total Harmonic Distortion value of 14.03% has been achieved and adequate results are presented.
In this modern world robot plays a vital role in industrial automation. The aim of our project is to design and fabricate a pick and place robot. The function of the robot is to pick and place the objects. The design of mechanical structure of robotic arm has been developed by using CATIA V5 software. In our prototype model acrylic sheet material has been used. Arduino UNO controller is used for controlling servomotors. Servo motors are used to control robots base, arm, elbow, and gripper. The major components used in our project are of less cost and readily available. The advantage of our robot is to handle the things efficiently and it is also easily adoptable in small scale industries.
Remote Health Monitoring is an advance way to keep track of the physical condition of a person who has a health problem, the use of IoT makes it more effective. The advantage of continuous tracking and recording the physiological conditions of the patient is that, a medical practitioner can well in advance identify any variations and prescribe necessary treatment for the wellbeing of the patient. The system also makes it easy to store and manage medical data received from the patient, irrespective of the activities each one may get engaged in like, resting, sleeping, or exercising. Thus it will help to monitor even the minute changes in the body and identify problems even before the condition turns out to be critical. Also it saves lots of the patient’s and doctor’s time. All the information collected from the patient could be stored in the cloud and thereby it is available for reviewing at anytime.
Monitoring and controlling the agriculture field parameters plays an important role in crop production and management. In many areas water is wasted while watering plants. At present there is scarcity water and we should know how to use the available water in an efficient way. Plants are immobile and some of the environmental conditions such as soil water content, air temperature and soil temperature affect the soil quality and thus the crop yield. High level sensing systems are needed to optimize the water usage and reduce spreading of diseases. Storage of information and its processing and management makes precision agriculture more efficient. IoT based sensing systems have improved capabilities to accurately monitor the environmental conditions. Automatic irrigation is the best way to optimize the usage of water in crops. In addition, gateway is also used control the sensor values and transmits these values to a user. The gateway is programmed based on the threshold of the sensor, by which when the sensed value raises above the threshold a corresponding action take place. This system is cost effective and will provide productive management in farming.
The GPS bus tracking and announcement system is an informative system present in both in the bus and the bus stop. It is designed for passengers travelling in the bus to know the details about the next coming stop and who are waiting in stop, regarding the nearing bus. This ensures that the passengers get enough time to get ready and also they won’t miss the right station. The existing system provides such facilities using the RFID technology which can be utilized only in the trains. But to implement it in the bus it would be more complicated and tedious as there are more stops, when compared to train. The proposed system overcomes these problems with a simple and effective architecture with GPS technology. The system consists of a GPS device that continuously monitors the location of the moving bus and using the GPS data from the device the voice data and a display of stop details is generated to be presented in the bus and subsequent display in the stop about the nearing bus.
In our task research the accompanying central inquiry how quick would information be able to be gathered from a wireless sensor network arrange composed as tree? To address this, we investigate and assess various distinctive strategies utilizing practical simulation models under the many-to-one correspondence worldview known as converge cast. We initially consider time scheduling on a single frequency channel with the point of limiting the quantity of availabilities required (schedule length) to finish a converge cast. Next, we consolidate scheduling with transmission control to alleviate the impacts of obstruction, and demonstrate that while control helps in diminishing the schedule length under a single frequency, scheduling transmissions utilizing multiple frequencies is more efficient. To attain efficient communication between the nodes, interference must be considered. We give bring down limits on the schedule length when interference is totally disposed of, and propose calculations that accomplish these limits. The utilization of multifrequency scheduling can get the job done to take out a large portion of the impedance. At that point, the information accumulation rate never again stays restricted by impedance yet by the topology of the routing tree To this end, we develop degree-compelled spanning trees and capacitated negligible spreading over trees, and show huge change in scheduling execution over various arrangement densities. Finally, we assess the effect of various obstruction and channel models on the schedule length.
The objective of this paper is to review the collection of literature available on the Photo Voltaic and Thermal Solar Collector. The review paper is presented to show the comparison of findings obtained by various research works. In solar collector, the solar energy from the sun is converted in to electrical energy by means of Photo Voltaic panel and thermal energy by converting cold water into hot water. Nowadays, solar collector is preferred in many industries and house hold applications to reduce the demand of electricity by increasing the effective utilization of solar energy coming from the sun. The selection of collector design plays vital role in the development of heat energy and electrical energy. The input process parameters such as type of collector, time, mass flow rate, flow direction, flow pattern and size of the flow tube are normally considered for the research work and the output responses like thermal efficiency and electrical efficiency are appraised by using the Photo Voltaic Thermal Hybrid Solar Collector. Normally experiments are to be conducted based on the recommendation by the Traditional and Non-Traditional techniques. The output efficiency of the solar collector is purely based on the selection of input process parameters. Based on the literature review, an investigation is essential to improve the performance of the solar collector. The authors found that input process parameters plays vital role in the quality and efficiency of the solar collector.
The machine parts are produced by any one of the manufacturing methods such as forging, machining, casting, welding methods, etc. The selection of manufacturing methods purely based on the production cost and time. In general, the machine components are joined by welding process for higher dimensional accuracy. Welding is the one of the manufacturing technique to join similar or dissimilar combination of materials with or without application of filler rod. Friction welding is the one of the solid-state welding process for joining similar and dissimilar combination of materials without the use of filler rod. In friction welding process, heat is generated at the interface of joining the specimen under plastic deformation by converting the rotational energy into heat energy by means of pressure. Normally input process parameters considered for the experimental investigations are heating pressure, heating time, upset pressure, upset time, rotational speed and chemical composition of the test specimen and the output responses are axial shortening, hardness, tensile strength, impact strength and microstructure. The literature assessment on the friction welding process is crucial to study the effect of process parameters on the welding strength and quality of the welded specimen. Recently many researchers have dealt with the optimization of process parameters for various friction welding process. The specific objective of this paper is to review the collection of literature available on the friction welding process and optimization techniques by various research works. Recently, friction welding process is preferred in many industries to reduce the time and cost and increase the quality of the welded specimen. Based on the literature review, an investigation is essential to improve the quality of the welded specimen and reduce time and cost. The authors found that input process parameters play vital role in the quality and efficiency of the weld joint.
Reinforced cement concrete is the most commonly used building material in India, as it is the convenient and economic system. This is true in the case of low rise buildings. The use of RCC is no longer economic for high rise buildings because of their increased dead load, decreased stiffness and hazardous formworks. The structures provide more deflection and ductility to the structures which is required to resist the seismic loads. According to literature use of composite steel-concrete system can provide durable, economic and seismic resistant structures. The composite structures are most appropriate in opposing seismic strength when compared to RCC. This paper compares the effectiveness of steel-concrete composite fames over traditional RCC for buildings by analysis and design of G+12 stories using E-tabs.
Soil contamination or soil pollution is caused by the presence of xenobiotic chemicals or other alteration in the natural soil environment. It is typically caused by industrial activity, agricultural chemicals, or improper disposal of waste. Many industries dump their waste in their nearby surroundings. This action makes the soil sick by decreasing its fertility, and contaminates the ground water table of the region. Studies have revealed that contamination in soil leads to strength reduction and fertility .Due to this reason there is a high risk in taking up construction of buildings in and around the region. Bioremediation is emerging as a promising technology for the treatment of soil and groundwater contamination. This paper focuses on the treatment techniques of contaminated soil in Pondicherry region. The properties of the contaminated soil are determined and tested for the type of impurities present. Based on the behaviour of the soil the suitable remedial treatment is carried out in order to increase the fertility, strength and stability of the soil turning it out to be a suitable soil for either construction or cultivation. The Unconfined compression strength of un-contaminated clay was found to be 20 to 37 kPa. The paper also gives the treatment efficiency factor by comparing the aspects of contaminated soil with the clay available in agricultural field, which is assumed to 100 % fertile.
Every structure constructed includes concrete in one or other ways at any part of construction. The concrete is a composite material made of water, aggregates (fine and coarse), and cement mostly, in order to make them more economical and sustainable some of replacement materials are added. Out of these Silica fumes and steel slag are most common materials used as replacement for cement and fine aggregate these two materials serve as good replacement and gives maximum strength at optimum percentages. The main objective of this paper is to compare the concrete cubes casted by replacing along with conventional concrete and obtain results of various strength characteristics. The silica fume was replaced by 0%, 5%, 10%, 15% and 20% for water-cementitious materials (w/cm) ratio for 0.40 and steel slag was replaced by 0%, 25% and 50%. The compressive strength and slump of these materials are tested and results are obtained. The materials are chosen based on economical and effects on concrete.
This paper focuses on the design and construction of an optimization charging system for Li–Po batteries by means of tracked solar panels. Thus, the implementation of a complete energy management system applied to a robotic exploration vehicle is put forward. The proposed system was tested on the VANTER robotic platform—an autonomous unmanned exploration vehicle specialized in recognition. The interest of this robotic system lies in the design concept, based on a smart host microcontroller. On this basis, our proposal makes a twofold significant contribution. On the one hand, it presents the construction of a solar tracking mechanism aimed at increasing the rover’s power regardless of its mobility. On the other hand, it proposes an alternative design of power system performance based on a pack of two batteries. The aim is completing the process of charging a battery independently while the other battery provides all the energy consumed by the robotic vehicle.
In this paper a detailed study on the properties of Light weight artificial aggregates is carried out, these aggregates were made out by geo-polymerization. In the current scenario, the disposal problem of industrial by-products like fly ash has become an environmental issue due to the pollution caused. Further, shortage of land to fill these materials also adds up to this issue. Fly-ash is mainly used for the dumping purpose or as a fine aggregate. On the other side, shortage of natural aggregates in the growing infrastructure industry, creates problem of depleting natural resources which builds the need for artificial aggregates. In this project we aimed to develop a technique for producing an aggregate with the fly-ash and use it in the replacement of normal coarse aggregate. Consequently, the production of artificial aggregates solves two problems, conserves environment from pollution and prevents natural resource from depletion, thereby giving way tosustainable development. Artificial aggregates are prepared by pelletization process. The properties of artificial aggregate were compared with natural aggregate it found that the artificial aggregate results in light weight then compared to natural aggregate and it poses higher mechanical property than natural aggregate.
To fulfil the demands of cement and reduce the production of cement. In the present research,the supplementary cementious materials (SCMs) or mineral admixtures like fly ash, silica fume, metakaolin and ground granulated blast furnace slag(GGBS) are used in cement composite by partial replacement of cement about 20% and studied the properties of cement composite using river and standard sand. By adding this type of SCMs in cement the performance with regard to water requirement for consistency, setting time and preparation of cement mortar with and without addition of superplasticizer(SP)may demand less or more water as compared to cement alone. The present study gives the requirement of water at different stages of consistency and also the mechanical and durability properties of cement mortar are studied by preparation of mortar cubes.
To automatically monitor and control the transformer by interfacing microcontroller using Internet Of Things. The current and voltage are monitored using respective sensors and their values are interfaced using microcontroller and further controlled automatically using cloud computing system.
in construction materials, concrete is the largest production of all other materials. Aggregates are the important constituents in concrete. The increase in demand for the ingredients of concrete is met by partial replacement of materials by the waste materials which is obtained by means of various industries. Steel slag is a waste product generated during the production of steel. These wastes are disposed in the form of landfills causes an enormous amount of land pollution. In this study, the use of steel slag as fine aggregate in concrete is investigated. For this purpose, various concrete proportions with water/cement ratio of 0.4 are prepared. Compressive strength of concrete is examined by using steel slag as fine aggregate, eventually concrete mixtures containing steel slag as fine aggregate show better performance than normal concrete up to certain percentages of steel slag. In this study, the cubes casted in 0%, 10%, 20%, 30% and 40% of steel slag as fine aggregate.