Multilabel classification is a framework in which each input data in training data set can be related to more than one class labels simultaneously. The goal of multilabel classification is to produce set of labels for unseen instances by analyzing training dataset. This paper presents fundamentals of multilabel classification, some multilabel classification algorithms and evaluation metrics.

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In organization large amount of data are collected daily and these data are used by the organization for data mining tasks. These data collected may contain sensitive attribute which not disclosed by un-trusted user. Privacy is very important when release the data for sharing purpose or mining. Privacy preserving data mining allow publishing data while same time it protect the sensitive or private data. For privacy preserving there are many technique like k-anonymity, cryptography, blocking based, data Perturbation etc. In this paper, various privacy preserving approaches in data sharing and their merits and demerits are analyzed.

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The Deep Web, i.e., content hidden behind HTML forms, has long been acknowledged as a significant gap in search engine coverage. It represents a large portion of the structured data on the Web; accessing Deep-Web content has been a long-standing challenge for the database community. Deep web crawling is fundamental problem faced by web crawlers that has profound effect on search engine efficiency. Recent study shows that nearly 96% of data over internet is hidden i.e. not found to search engines. The challenge imposed on search engines is to retrieve hidden web data at low cost. This system uses a machine learning approach that is completely automatic, highly scalable, and very efficient, that helps to improve data retrieval at reduced cost. This system uses focused crawling strategy for retrieving accurate results related to query and selects only relevant links according to their similarity with respect to query. The algorithm used in this system efficiently selects only possible candidates rather than searching whole search space for inclusion in too ur web search index.

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Lead (Pb) being very high poisonous heavy metal, non-biodegradable affects the food chain and are hazardous to all living beings. This paper investigates about the removal of lead from lead- acid battery effluent by phytoremediation technique using Eichhornia Crassipes (Water Hyacinth). Synthetic Chelator (EDTA) is induced to increase the mobility and uptake of lead by the plant from the effluent. Removal of lead from the contaminated effluent is varied by concentrations of 5 ppm, 10 ppm, 15 ppm and it is tested with the time interval of 15 days. The parameters like concentration of lead in the effluent, concentration of root and shoot uptake by the plant, degradation of lead by the plant, proline, chlorophyll, carotenoid characteristics of the plant is considered. The factors such as Bioconcentration Factor (BCF), Metal accumulation in plant and water, Enrichment Factor (EF), and Translocation Ability (TA) are calculated. The uptake of lead by the plant has been transferred from root to various other parts of the plant. Accumulation of lead in various parts of the plant, soil and water sample is analyzed by using Atomic Absorption Spectroscopy.

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Cryptography is an protecting the information by transforming it into an unreadable format in which a message can be concealed from the casual reader and only the intended recipient will be able to convert it into original text. In this research work the analysis is made between symmetric key algorithms such as AES, RC6 and Blowfish. The algorithms are compared in terms of various factors such as key length, cipher type, block size, resistance, security, possible keys, CPU time, encryption time, memory utilization and throughput. To analyze the performance of the algorithms it is required to know its strength and limitation. Consequently the assessment of different existing algorithms based on certain parameters is necessary. The parameters may include Architecture, Security, Scalability (in terms of Encryption rate, Memory Usage, Software hardware performance and computational time), Limitations, and Flexibility.

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Diesel fuel is a complex mixture of hydrocarbons and it is well known that in extreme cold operating conditions some of these (paraffin) form wax crystals that will block the fuel filter and prevent engine operation. Also, due to dust and foreign particles engine may get damage. Filtration is mainly done with filter rod. If this rod is missing, then filter will not work properly and hence will result into the dysfunction. Poka-yoke is a concept in total quality management which is related to restricting errors at source itself. It deals with "fail-saving" or "mistake-proofing". A poka-yoke is any idea generation or mechanism development in a total productive management process that helps operator to avoid (yokeru) mistakes (poka). The concept was generated, and developed by Shigeo Shingo for the Toyota Production System. This paper is based on project for detection of the missing filter rod by using Poka yoke method.

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This paper describes a type of car’s side impact performance on the BIW. The main intension is to co-relate the performance of the BIW frame (when vehicle undergo crash with a various angles towards rigid pole) and occupant safety after the crash. Initially, FEM model of BIW frame is created based on logical method to solve the problem. Then, analysis evaluation of the side impact safety, method of design and manufacturing processes and the results of the side impact feature will be discussed. Then, analysis of the intrusion level according to the FMVSS No.214 or EURO NCAP standards towards the occupant (boot) space and of the occupant injury levels is discussed.

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Big data may be a gather of structured, semi-structured and unstructured data sets that contain the large amount of data, social media analytics, information management ability, period of time information. For giant data processing Hadoop uses map scale back paradigm. We have report the complete work of Hadoop Map reduce and its use for big data processing. Once explaining this system we will going to} explain however we tend to are exploitation HDFS to implement our system. We’ve used Apache Tika for process of resume and Hive is employed for data warehousing solution on prime of hadoop. Our systems are going to be providing steering to the tip users. A resume could be a kind of document utilized by human to indicate their educational background and skills. Resumes will be used for many reasons, but the most reason is employed to secure employment. A resume mainly contains a outline of job expertise and education. The resume could be a personal and educational data of worker, that an acceptable leader understands connected the duty seeker associated wont to screen candidates usually followed by an interview. Our project is deals with the parsing application developed for the resumes received through emails in various formats like Document, text etc.The thought provides associate outlook of a project on deploying data removal techniques within the method of resume info extraction into tiny and highly-structured data. The Resume computer program mechanically completely different data on the premise of various fields and parameters like name, mobile nos. etc. and large volume of resumes is not any problem for this technique and every one work is completed automatically without any personal or human involvement.

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The basic endeavor in any production process is to produce an acceptable component at the minimum possible cost. In order to achieve this objective in metal cutting or metal machining, many attempts have been made in several different ways; such as optimizing the tool life in order to minimize the production cost, maximizing the production rate to reduce the production cost, etc. but no single effort has been found fully successful because of the numbers of complexities involved in the process. For example, if cutting speed is reduced in order to enhance the tool life, the metal removal rate is also reduced and therefore, the production cost increased. A similar effect is observed if the efforts have been made to increase tool life by reducing the feed rate and depth of cut. Against this, if the effort is made to increase the production rate or to reduce the machining time by substantially increasing the cutting speed, feed and depth of cut, the tool life shortens and therefore, tooling cost increases and so the total production cost is also increased. A balance is therefore required to be stuck and a reasonable cutting speed determined, corresponding to which an economical tool life will be ensured and an economical production will result. The present study introduces one such method of improving the production rate in turning operation.

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As the energy is the backbone of the technology it affects the price of product as well as the overall economy of the industry. Energy is the most important factor in industrial production as well as in the domestic use ecofriendly system as it uses solar power. Assun is the huge source of energy solar energy is the perfect alternative for some energy sources such as electricity, petroleum .In India the large part of the solar energy is wasted because of lack awareness about the solar energy. Mostly the solar energy is used to dry the food grains and mostly to dry the cloths. But last few years are the most memorable years for the India from the last few years most of the peoples decide to install the solar units. We are focusing on the need of the alternatives for the conventional energy source. we are using the vapour absorption refrigeration system operated by using solar power, In this we are using R-717 as refrigerant and water as working fluid. system consist of collector, evaporator, absorber the refrigerant in the system when come in contact with the water the cold water absorbs most of the ammonia in it after that the strong solution is conveyed up to the collector where the strong solution is heated to form a vapour then this vapours are condensed in condenser and then passed to expansion valve where temperature falls down then it is passed to the evaporator where the refrigerant absorbs the heat from the surrounding of the evaporative section.

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Atomization is often chosen as one of the powder production techniques because of high production rates and ability to make alloy powders of the desired composition. In gas atomization process, the liquid metal is broken into droplets to form the powders upon solidification. Gas-metal interaction influences the break-up of liquid stream in to droplets. Geometry of the nozzle governs the gas-metal interaction. Selection of nozzle type and the flow geometry is the most important parameter for gas atomization process. Design of nozzle determines the degree of contact of liquid metal with the atomizing gas. The atomizing nozzles have co-axially placed Metal Delivery Tube (MDT), which carry the molten metal to atomizing zone. Flow properties of gas are considerably affected by the presence of MDT. In the present analysis, an attempt has been made to compare Convergent nozzle (C - nozzle) and Convergent- Divergent (CD) nozzle for parameters like flow and heat transfer aspects using CFD technique. Further, DAR (Decision Analysis and Resolution) a CMMI (Capability Maturity Model, Integration technique) was adopted to recommend a nozzle configuration for gas atomization of the aluminum alloys.

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This paper reviews the various Automatic Identification and Data Collection systems used in the field of manufacturing and allied activities to improve processes by reducing total time, improving quality and reducing human error significantly. The aim of this paper is to review the various ways in which Automatic Identification and Data Collection systems have significantly improved the performance of manufacturing and allied activities particularly by tracking multiple objects, their location and enabling in ease of product line tracking, product identification, improving productivity and ease in storage and retrieval.

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Most proposed approaches problems from the student point of view, but this approach works from teachers side. This problem solution depend upon availability of teachers with respect to time slots, number of subjects and classrooms. The purpose of this solution to avoid overlapping of lectures between teachers. It also have function to provide alert before 10 min. Teachers have to keep all the information about all the lectures ,subjects and classroom. To avoid this hectic task ,we have produce this application named Timetable alert application .In this application we work on managing timetables of the colleges for teachers to give alerts before 10 min. This reminder can only be set by the administrator. The additional function of this application is to give warning for overlapping of lectures if occurred. This application is comes into the category of scheduler application developed for Android smart phones. The administrator does not need to set the alert every time. It is designed for scheduling timetable for teachers. Each user who is login in the application ,his/her information is stored in the parse cloud. Teacher will get the information of lecture with respect to time slot and classroom.

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Stabilization is a technique to improve Physico-chemical and geotechnical properties of soil so as to obtain desired characteristics of soil for any structural work, herein this research work NaOH is used as a stabilizing agent to stabilize the Black cotton soil collected from Jabalpur region. Ions Na+ and OH-interact with silica and alumina present in soil to chemically change its properties. The main Objective of this research work is to determine the effects of NaOH on mixing with black cotton soil used as a stabilizing material. NaOH is mixed in different concentration varying from 0 to 16%with soil and properties like consistency limit, Shrinkage Limit, and Swelling percentage are oberserved with the increasing concentration of NaOH, It can be concluded that some properties of Soil improved and some degraded.

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The present work describes the development of polymer composites consisting of Polyether-ether-keton (PEEK). This work reports the wear performance evaluation of a new class of PEEK. The effects various range of temperatures on the tribological properties of PEEK composites were studied under dry friction conditions. PEEK composites are maximum used as compressor piston rings or valve for their outstanding mechanical and thermal performance at harsh operating conditions, where PTFE composites fail to service. However high wear rate and friction coefficient of pure PEEK limitation its wider use. Maximum researchers found that PEEK is good in mechanical characteristic but inferior performances of tribological properties. The effect on the friction and wear nature of PEEK polymer composites has been improved, at room temperature. There are various operations performed in industry at elevated temperature on different machines and high wear rate at maximum temperature is a serious problem in a large number of industrial applications. The objective of this work to study the friction and wear properties of PEEK elevated temperature as well as to increase tribological properties of PEEK without loss of mechanical properties at elevated temperature.

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This paper completely describes about the automatic attendance marking system and parent alerting system for high safety for the hostel students were present more than 500 in one institution. In this model each and every student has to store their finger print data base with their parents or guardians mobile number. We have proposed a system that takes attendance of student and maintaining its records in an academic institute automatically. Were the students has to place their finger print on two biometric system which is placed in the hostel office room and in the main gate of watchman room. When the both finger print matches with the help of WIFI interfaces which compared with previously stored data base of the student and the result produces true, then the students allowed to exit from hostel. At the same time SMS alert of the students exit time and the date will be send to the parents through GSM module to their mobile and a copy of total number of students exited from the hostel is stored in the PC. The LCD display is connected with the module to count the number of students exited from gate.

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Due to development in wireless devices, it poses a new challenge for the design of an antenna in wireless communication. Patch antennas are well suited for various wireless application systems due to their low weight, low profile, versatility, conformability, low cost and low sensitivity to manufacturing tolerances. This paper present design, simulation of a rectangular micro strip antenna for WLAN and PCS. The aim of the work is to design compact, circularly polarized, dual band patch antenna for wireless devices.

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Although many countries, including those in the European Union, have developed laws to address electronic waste (or e-waste) disposal and management, there is no law that addresses e-waste in India. The current estimation of the amount of E-waste generated in India is extremely hazy. E-waste management in India is a serious issue because of the informal recycling activities. In this paper an attempt has been made to quantify the amount of e-waste generated in Raipur. And results were obtained regarding awareness among people about e-waste, method of e-waste management and suggestions were obtained about e-waste management. Based on the survey conducted, it was recommended that role of government should be increased for controlling the informal method of e-waste management and for promoting the formal method and increasing the awareness among people about hazardous effect of e-waste and for its proper disposal.

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Rectangular waveguides were most former type of transmission lines employed to carry microwave signals and about which a great deal is known. In this paper, the electric field intensities of dipole probe and rectangular waveguide probe with infinite ground plane is analyzed and compared to that of no probe instance. A standard 2.296 x 1.016cm WR-90 open ended rectangular waveguide with infinite ground plane of operating frequency of 9GHz is used as a radiator. The dependency of normalized electric field intensity in the near field to the separation between the radiator and probes was observed. The effect of rotation of waveguide probe in the aperture plane (y-axis) was also studied. The simulations were performed using Ansoft’s HFSS.

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The image can be modified using some transformation on original images which forms near duplicate images. An image can be represented by its size or length and the number of patches in the image varies with respect to the length. The adjacent and visually similar pixels are clustered and then the resulting cluster is considered as a patch. Image representation and image similarity measurement are two major issues in image matching. The proposed method extracts patches from given image and represents by variable length signature. The signature is further validated in a near duplicate natural image detection which makes a decision about whether two images are near duplicates or not. The near duplicate image retrieval aims at retrieving relevant images from image database which are similar to query image. The similarity between two images is calculated based on variable length signature to improve the effectiveness.

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Morphological Analysis plays a major role in understanding and generating words and their forms for an efficient Machine Translation system. Morph Analyzer analyzes a word form, provides us the root or stem word and the linguistic information attached to the word form. It also generates a word form based on the root word and the linguistic information as provided. This linguistic information is very helpful during every stages of Natural Language Processing. In this paper we propose a Morph Analyzer which we have built keeping Gujarati language in mind. A Morph Analyzer can be made more efficient if the target language is known. We have added a partial stemmer in the paradigm model of a Morph Analyzer to achieve better accuracy. Our approach is the supervised approach where we manually build a dictionary of root words and classify them into different paradigms. A built-in partial stemmer performs the analysis and generation of word forms based on language dependent linguistic rules. Using this approach on Gujarati language we were able to achieve a considerable coverage of approximately 5,000 nouns.

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In this era of science and technology anything can be controlled with mind activities especially for the differently able persons. This paper depicts the approach of implementing mind controlled work. Electro-oculogram (EOG) is an electrical potential that can be detected using bio-electrodes and it is linearly proportional to eyeball movement. This technology is based on the principle of recording the Cornea-Retinal potential (CRP) which is the resting potential between the cornea and the retina. EOG signal gives the way to allow the handicapped, especially those people with only eye-motor co-ordination to live more independent lives implementing the thoughts arising on their mind.

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ZigBee technology was developed for a wireless personal area networks (PAN), aimed at control and military applications with low data rate and low power consumption. ZigBee implementation requires understanding of its architecture and the operation of its layers relative to specific application. Mesh network is possible for ZigBee which is meet the requirement for high reliability, security, low power, low cost. This paper is mainly focusing on development of Simulink model for ZigBee transceiver at physical layer using IEEE 802.15.4.

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In this proposed system the method is able to detect fire by analyzing the Videos acquired by surveillance cameras is introduced. Two main novelties have been introduced first, complementary Information, respectively based on color, shape variation and Motion analysis, are combined by a multi expert system. Second, a novel descriptor based on a bag-of-words approach has been proposed for representing motion. The previous systems were developed but the results were not much significant as they were having their own limitations. Some of them were working on color while some on shape or motion hence they had own drawbacks. Our system will try to overcome those as we are proposing the system that will have a separate module for shape variation, a module for color evaluation and a module for motion evaluation. The multi expert based system takes the input of all this modules and then the decisions taken by the experts are combined by a MES (multi expert system) classifier based on a weighted voting rule, which finally assigns a class to each blob. The Main advantage deriving from this approach lies in the fact that the overall performance of the system can be significantly increases with a relatively small effort

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Least mean square (LMS) algorithm is a broadly used adaptive algorithm for its robustness and low hardware complexity. Though in practical applications, many modified LMS algorithm had be proposed. Delayed LMS algorithm is suited in hardware implementation with performance degradation. When performance degradation is not acceptable, a correction term can be added to avoid this degradation. But adding a correction term will increase power consumption. To make this more achievable we are retiming this DLMS architecture to reduce the critical path and making it more responsive and less degradable. We are endulge in this paper to understand the throughput changes that will empower whenever we are going to change realization of LMS from LMS_DLMS_RDLMS.

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