Volume 10 | Issue 6 |

 Abstract

In this paper, we are going to look into the project which is going to be an advanced managing site which can be used to manage multiple educational institutions along with extra features like as with the exponentially increasing number of vehicles, road safety is a matter of huge concern. Road accidents kill 1.2 million people every year, It causes loss of lives and economical damage, which is a serious concern which needs to be solved, We have used machine learning algorithms to predict the severity of an accident occurring at a particular location and time. Factors like speed limit, age, weather, vehicle type, light conditions and day of the week have been used as parameters for training the model, We have created a web app for user input and output display and a notification is sent to the police to take preventive measures, The model will run with the input data and predicts the severity of an accident occurring at the respective location of the user, This model will play an important role in the planning and management of traffic and would help us reduce a lot of road accidents in the future.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

REAL-TIME CRASH PREDICTION USING ADAPTIVE BOOSTING IN MACHINE LEARNING

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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AGRICULTURAL PRODUCT PRICE AND CROP CULTIVATION PREDICTION BASED ON DATA SCIENCE TECHNIQUE

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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HUMAN SIGNATURE VERIFICATION USING CNN WITH TENSORFLOW

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Semantic searching over encrypted data is a crucial task for secure information retrieval in public cloud. It aims to provide retrieval service to arbitrary words so that queries and search results are flexible. In existing semantic searching schemes, the verifiable searching does not be supported since it is dependent on the forecasted results from predefined keywords to verify the search results from cloud, and the queries are expanded on plain text and the exact matching is performed by the extended semantically words with predefined keywords, which limits their accuracy. In this paper, we propose a secure verifiable semantic searching scheme. For semantic optimal matching on ciphertext, we formulate word transportation (WT) problem to calculate the minimum word transportation cost (MWTC) as the similarity between queries and documents, and propose a secure transformation to transform WT problems into random linear programming (LP) problems to obtain the encrypted MWTC. For verifiability, we explore the duality theorem of LP to design a verification mechanism using the intermediate data produced in matching process to verify the correctness of search results. Security analysis demonstrates that our scheme can guarantee verifiability and confidentiality. Experimental results on two datasets show our scheme has higher accuracy than other schemes.

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Creative Commons Attribution 4.0 and The Open Definition

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A PROVABLE CONTEXTUAL RETRIEVAL STRATEGY IN THE PUBLIC CLOUD USING OPTIMAL MATCHING OVER SECURED DATA

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The interconnection of the devices using network technologies form Internet of Things (IOT). IOT is the advanced technology useful for the medical health sector in many ways. In this system, the proposed design is to find out the reading of the human pulse sensor and alert the system, if the heartbeat of the victim is abnormal through a buzzer and also send the messages to the emergency contacts through Global system for Mobile (GSM) system. This system will also be connected to the Thing speak Cloud for the data processing with the help of Wi-Fi based microcontroller. The entire system can be used for easy evaluation of the doctor regarding the victim past medical heart beats. The data will be continuously active and stored in the cloud. The proposed system experimental values are reliable, user friendly and economical to use regularly.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A advanced managing web site which can be used to manage multiple educational institutions along with extra features . like Providing notes in the same website for the student usage , Generating Report for all kind of analysis from academic to expenditure, Contact guardians of students directly through mail or sending them notification, Teachers can provide hand written notes to the students, give video lectures, and also schedule live classes to the students, Students can directly rise complaint, if they have any issues, All kind of departments and staffs can be managed using his web enabled application, Being an web enabled application it can be easily accessed from any device with internet connection.VCR is a web enabled application developed in PHP and powerful MYSQL database backend and storing a bulk data in big data . This paper Used the unified theory of acceptance and combined technology acceptance model use of SPSS 21 ,with seem and smart PLS V3 software used to test the proposed model.this paper proposed model for the electronic record management adoption to support the productivity and performance of higher professional education institution in the Yemeni context. To implement this application, educational institution do not need much expensive hardware and software, they just need an internet connection and a desktop with basic operating system and a browser.

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Creative Commons Attribution 4.0 and The Open Definition

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VIRTUAL INSTITUTION MANAGEMENT USING COMBINED TECHNOLOGY ACCEPTANCE MODEL

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The situation on the ground kept changing rapidly and without warning. In the absence of standardized address formats, users write the same address in many different ways, which may include alternate spellings, conflicting geographical information (e.g., two unrelated localities), or missing information (e.g., forgot to write pin code).The issues drawn from the observation and the civilian's personal diary are useful in understanding the social implications of tracking and monitoring. From the information recorded during the field observation, a number of inherent technical limitations in GPS were identified which add to the complexity of such related areas. The paper points out that human factors in location intelligence are often underestimated, while a thorough consideration of their role should create additional ground for effective business intelligence as well as intelligence applications.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

location intelligence, decision making, human-centered approach, Address fix, Location Based Services

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This proposed system presents a digital notice board using WiFi module. The idea behind this proposed system is to provide its users with a simple, fast and reliable way to put up important notices in an LCD where the user can send a message to be displayed in the LCD. The message can be sent through an Google Assistant application designed in this proposed system, through the WiFi module. So, notices can be put up in an LCD display from any location in the world. It uses a microcontroller for system control, WiFi based technology for communication and sends the message through the Google Assistant application. The proposed system consists of a Nodemcu, WiFi module, an LCD, and an Google Assistant application for user interface with the hardware. This device can be used anywhere irrespective of the place of deployment provided mobile network connectivity is available.

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Creative Commons Attribution 4.0 and The Open Definition

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IOT AND GOOGLE ASSISTANT BASED WIRELESS NOTICE BOARD

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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FACIAL BASED AUTHENTICATION USING EIGENFACE, FISHERFACE, AND LOCAL BINARY PATTERN HISTOGRAM

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the fast-moving world, the internet plays a vital role in part of every individual, business, and sector. So the internet is ruling nooks and corners of the world. The main goal is to provide quality internet services without any interruptions. As we can see the falling in internet signals or lost signals may affect each individual to a gigantic business. So to provide a signal in the correct strength can overcome the issue of the quality services on both customer and internet provider side. Here we are implementing a recommendation system to optimize the quality of service to the persons or sectors who are using the internet. This makes the service providers satisfy the customer and increase the business process further with the help of the recommendation system. Based on locations every time the signal differs according to the locations and hence when a customer confronts the signal issues, the service provider equalises the query of the customer by providing the signal to the requested customer based on the location. By doing this, we are not only efficiently solving the problem of the customer but also increasing the customer counts by providing the quality of the internet providing services using the recommendation system

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Creative Commons Attribution 4.0 and The Open Definition

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OPTIMIZATION OF INTERNET SIGNALS USING QOS PREDICTION IN ARTIFICIAL INTELLIGENCE

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