International Journal of Innovations in Engineering Research and Technology
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    INFORMATION SYSTEMS DEVELOPMENT AND TECHNOLOGY PLAN FOR F.I AUTO SUPPLY

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    F.I Auto Supply is a small retail store of auto parts located in Salvacion, Panabo City. The company has dealt daily with the traditional manual transaction process, which gave them difficulties in tracking the conciseness of the company’s products’ sales and inventory. The researchers proposed an Auto Supply Management System with Automated Inventory Mobile Scanning to aid the problem. This system will help automate the company’s inventory and sales conduct and produce concise and accurate information regarding how well the business is running in a specified period. Moreover, it will also help them be attentive to the number of stocks available in the store to make plans ahead of time, like what supplier the products should be coming from, and estimate the time of transaction. Furthermore¸the proposed system also gives the business an edge to a higher quality of image branding and customer relationships thru enhanced service time efficiency

    IMPLEMENTATION OF PREDICTION OF SONG MOOD THROUGH LYRICS

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    Because of the growth of track recordings online [1], the importance of style and emotion type in the music business has long been recognised, or so they believed. Some track player structures, such as Spotify, are known for their track recommendation system, in which they predominantly recommend tracks based on their client\u27s historical or style choices personally in a large way. Customers receiving suggestions only based on the mood of the lyrics, which is actually quite crucial, might be a very nice idea. Lyrics-primarily based totally evaluation should provide benefits to the track enterprise by robotically tagging the genres and feelings of a song uploaded by essentially means of an artist to generally improve user\u27s essentially enjoy while attempting to actually find songs in a fairly significant way. The main purpose of this particular experiment is to build an automatic classifier of genres and emotions based entirely on song lyrics, or so they believed. In the experiment, we fine-tuned the pre-trained version and performed switch learning for two types of tasks: style prediction and emotion prediction on a large scale. For all intents and purposes, the version\u27s input is the song lyrics, and the outputs are largely genre and feeling designations, divided into four categories, or so they believed

    ANALYSIS OF MECHANICAL PROPERTIES OF BAMBOO AND FIBER REINFORCED FOAM CONCRETE

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    An experimental investigation on bamboo and fiber reinforced foam concrete was carried out in this project. The foam concrete is the introduction of foam in the cement mortar. Cement, M Sand passing through 600µm, water and foaming agent (SLES) were materials for foam concrete. The mix ratio of foam concrete of density 1500 kg/m3 and 1600 kg/m3 and concrete without foam was Cement: M sand of 1:1 and water to cement ratio of 0.5 % of weight of cement. The polypropylene fibers were used in foam concrete of 0.5% of weight of cement. The cubes were cast to measure compressive strength for 7, 14 and 28 days of curing. The cylinders and prisms were cast to measure the tensile and flexural strength for 28 days of curing respectively. The results showed increase of compressive strength, tensile strength and flexural strength when the density increased. Based on the results, three bamboo and fiber reinforced foam concrete of density 1600 kg/m3 and steel and fiber reinforced concrete without foam beams of size 115 x 225 x 1200 mm were cast and cured for 28 days. The bamboo was treated with araldite epoxy resin and the bamboo reinforcement cage were wrapped with hexagonal oven mesh. The hexagonal oven mesh wrapped around bamboo reinforcement cage reduced slippage of bamboo from foam concrete

    WATER RESOURCES MANAGEMENT

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    A comprehensive water resources management is a must for stabilizing, enticing, and revitalizing the agriculture sector. It is a permanent solution to all agriculture sector problems

    DATA EXTRACTION USING DOCUMENT UNDERSTANDING USING RPA

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    Data Extraction using Document Understanding (DEDU) represent the processes of recognizing text from scanned receipts and extracting key texts from them and save the extracted tests to structured documents. DEDU plays critical roles for many document analysis applications and holds great commercial potentials, but very little research works and advances have been published in this area. In recognition of the technical challenges, importance and huge commercial potentials of DEDU, we organized the ICDAR 2019 competition on DEDU. In this competition, we set up three tasks, namely, Scanned Receipt Text Localization (Task 1), Scanned Receipt OCR (Task 2) and Key Information Extraction from Scanned Receipts (Task 3). A new dataset with 1000 whole scanned receipt images and annotations is created for the competition. The competition opened on 10th February, 2019 and closed on 5th May, 2019. There are 29, 24 and 18 valid submissions received for the three competition tasks, respectively. In this report we will presents the motivation, competition datasets, task definition,evaluation protocol, submission statistics, performance of submitted methods and results analysis

    DEVELOPING THE PISTON MATERIAL USING SAND CASTING METHOD TO IMPROVE THE DURABILITY

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    Automotive sector is massively leading the economy of our country. People are more passionate towards two wheelers as well as four wheeler vehicles due to their efficiency as well as comfortness. Engine is the heart of the every vehicle. Most of the unusual results or damages within the engine could be noticed at the outset of the engine. This leads to the expensive work upon engine sometimes this leads to the replacement of whole engine due to the small failure of engine part. Piston acts a major part during the power generation or the engine. Normally piston should be replaced after certain number of time frame. This will be cast effective as well. Proposed work studies the factors effecting on piston to damage early and prepares piston material using sand casting by adding more than 12% Silicon, which gives the high strength.&nbsp

    EXPERIMENTAL STUDY ON BAMBOO AS REINFORCED CONCRETE AND COMPARE THE STRENGTH, DURABILITY OF CONVENTIONAL CLAY BRICKS WITH LIGHT WEIGHT INTERLOCKING BRICKS

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    Our aim through this project is to find a suitable Eco-friendly material that replaces present conventional materials which are in demand or in the path of demand [1-3]. A suitable material that can replace steel in construction field is Bamboo Through this paper, we are going to study and analyses about the utilization of Bamboo in construction field such as Reinforcement purposes, for structural elements, Bamboo constructions[4-5], etc

    OPEN-CIRCUIT FAULT DIAGNOSIS IN VOLTAGE SOURCE INVERTER BY PARKS VECTOR APPROACH

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    In this paper, open circuit fault diagnosis is done by normalized parks vector approach. In this method of open-circuit fault diagnosis, parks vector transformation is used to transfer three phase to two phase for easy simplification. This transferred two phase value is further normalized so that become load independent. Further average value and absolute average value of normalized current are used to formulate diagnostic variable. So that normalized Parks Vector approach is robust against false alarm. It detects and localize not only single switch open-circuit fault but also multiple open-circuit fault occur in voltage source inverter

    RECOGNITION OF FACIAL EXPRESSION IN HUMANS USING IMAGE PROCESSING

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    In this facial expression has many real world applications such as medical, human machine interaction and human psychology. This paper elaborates the concept of facial expression using image processing with application of biometric System. Facial expression recognition system have a vital role in numerous areas such as intelligent human computer interaction This proposed system aimed to present and disgusted. The proposed system divides three main task preprocessing; feature extraction last one is classification. In this facial expression recognition that of various facial emotion expression is done by using some extracted features as well as classification is perform by different classifier we select one of them. A well-known viola Jones face detection method   is used for human face detection. After face   detection feature  extraction for   eyes and mouth. Then feature selection, centroid of facial features finding, Then obtain features are clustered by using an efficient method named SVM or some other classifier to recognize various human expressions. This process is performed by matlab R2013 (a)after the successful testing with the proposed system facial expression recognition efficiency best obtain from different classifier. Index Terms- Facial feature extraction, face detection, facial expression recognition,  Matla

    BUILDING INFORMATION MODELLING IN USE OF SUSTAINABLE BUILDING CONSTRUCTION PROJECT

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    The construction industry has its own quality of day today construction project work. This factor make the construction industry different from other industry because of the change and development of technology, production and other business have changed their process leaving behind construction industry. The main problem is still remained labour involving a lot of work construction industry in most of the countries including India. The mainly construction industry is still following same traditional process of generating drawing by architects or designers and building erection by the contractors. At the time of contract is set between architects, designers and contractors, the relation begins between them. The more difficulty are change in plan takes long time to correct because of lengthy process involved which adversely affects the productivity and efficiency of the construction industry

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