Contextual Operation Using Pair Wise Ranking and Cot for Recommender Systems
The interest for omnipresent data preparing over the Web has required the improvement of setting - mindful recommender frameworks equipped for managing the issues of data over-burden and data separating. Contemporary recommender frameworks outfit setting - mindfulness with the personalization to offer the most exact proposals about various items, administrations, and assets. Be that as it may, such frameworks run over the issues, for example, meagerly, chilly begin, and versatility that prompt to loose suggestions. The cutting edge setting displaying strategies as a rule regard settings as specific measurements like those of clients and things, and catch importance's amongst settings and clients/things. In any case, such sort of pertinence has much trouble in clarification, e.g., it is not instinctive that a client is more pertinent to weekday than end of the week. A few chips away at multi-space connection forecast can likewise be utilized for the setting mindful proposal, yet they have restrictions in producing suggestions under a lot of logical data. Roused by late works in normal dialect handling, we speak to every setting esteem with an inactive vector, and model the relevant data as a semantic operation on the client and thing. Furthermore, we utilize the logical working tensor to catch the basic semantic impacts of settings. For the relevant data of every client thing collaboration, the logical operation can be displayed by duplicating the working tensor with inactive vectors of settings. However a client thing collaboration results can be produced under particular logical data yet can't be yielded under other relevant circumstances. So we propose a pairwise positioning limitation on the logical data. Our pair-wise positioning limitation uncovers the relative data among various logical circumstances and can be utilized to further improve setting demonstrating. Besides, we propose the top-n suggestion. It is another huge estimation of recommender frameworks.
Published by: Sachin Madhukar Kolase, Prof. V. V Jagtap
Author: Sachin Madhukar Kolase
Paper ID: V3I3-1595
Paper Status: published
Published: June 23, 2017
Design and Implementation of HDLC Controller Using VHDL Code
High Level Data Link Control (HDLC) is a bit oriented full duplex data link layer transceiver. HDLC controller has a Flag register with 8-bit pattern of 01111110 which generates the state of HDLC protocol. This paper describes the HDLC controller design using VHDL code consists of 16-bit cyclic redundancy checker (CRC) and FIFO. FIFO used for transmits the data. HDLC controller implement on Spartan 6 Xilinx FPGA.
Published by: Payal Gupta, Pankaj Gulhane
Author: Payal Gupta
Paper ID: V3I3-1590
Paper Status: published
Published: June 23, 2017
Password Based Circuit Breaker with GSM Module
This project focuses on the safety of the lineman while working so they do not feel the sudden electric shock. As lineman has to deal with live wires very often, the chances of critical accidents are already very high. However, with the right amount of coordination among lineman and substation, a lot of these accidents can be avoided. The project aimed at providing the solution that ensures the safety of maintenance staff. Here, as soon as the lineman detect the fault in the electric line, an SMS will be sent to the substation staff, who would switch off the line and turn it on when the fault is being resolved, thus redusing the chances of accidents and saves the power as well. The proposed system is fully operated on a microcontroller.
Published by: Yash Pal Gautam
Author: Yash Pal Gautam
Paper ID: V3I3-1553
Paper Status: published
Published: June 23, 2017
Current Regulations for Labelling and Advertising Of Nutritional Supplements
The present study is on to regulate the nutritional supplements for labeling and advertising. Nutritional are commonly used in the entire world. There is a tendency for underreporting their ingestion by patients and the magnitude of their use is under-recognized by Physicians. This review will mainly discuss single ingredients and complex mixtures of natural nutrition’s marketed under a single label and advertising. These create difficulties in developing and harmonizing nutrition information listings, which have broad international applications. For these reasons, the Codex guidelines on nutrition labeling play an important role to provide guidance to member countries when they want to develop or update their national regulations and to encourage harmonization of national standards with international standards. As for all products on the market, advertising for dietary supplements must be truthful and substantiated. The U.S Food and Drug Administration (FDA) and Federal Trade Commission (FTC) work together in regulating dietary supplement advertising. FDA is primarily responsible for claims on product labeling, while FTC has primary responsibility for claims in advertising, including print and broadcast ads, infomercials, catalogs, and similar direct marketing materials. These two agencies collaborate to ensure consistency in dietary supplement advertising regulation. The conclusion of current regulations for labeling and advertising of nutritional supplements was marketers of dietary supplements should be familiar with the requirements under both DSHEA and the FTC Act that labeling and advertising claims be truthful, not misleading and substantiated.
Published by: Yacob .M, Ramesh Reddy .K, Alagusundaram .M, Jayachandra Reddy .P
Author: Yacob .M
Paper ID: V3I3-1576
Paper Status: published
Published: June 23, 2017
Design and Fabrication of Hand Operated Vacuum Cleaner
Dust removing problem is increasing more and more now a days. Hence it has become to provide some equipment for removing dust. There different types of waste, dry waste, vegetable waste, dust particles and soon. Generally, little equipment has been evolved in the market for cleaning the dust particles which are known as a vacuum cleaner. But these vacuum cleaner costs more in the market and not every human being can afford it. These devices need an electrical energy for its operation and not user-friendly. In India, especially in summer, there is power crisis and most of the cleaning machine is not used effectively due to this problem, particularly in bus stands. Hence it is a need to develop low-cost, user-friendly vacuum cleaning machine. In this project, an effort has been made to develop a manually operated vacuum cleaning machine so that it can be an alternative for conventional vacuum cleaning machines. In this work, modeling and fabrication of the vacuum cleaning machine were done using suitable commercially available software and components. The conventionally used materials were considered for the components of vacuum cleaning machine. These vacuum cleaners may be used in homes as well as in industry.
Published by: Pravesh Kumar Singh, Ritesh Kumar, Shashi Kant, Vivek Kumar Tiwari, T. Madhusudhan
Author: Pravesh Kumar Singh
Paper ID: V3I3-1596
Paper Status: published
Published: June 23, 2017
A Survey on Contextual Operation using pair wise Ranking and COT for Recommender Systems
The interest for universal data preparing over the Web has required the improvement of setting - mindful recommender frameworks fit for managing the issues of data over-burden and data sifting. Contemporary recommender frameworks saddle setting - mindfulness with the personalization to offer the most exact proposals about various items, administrations, and assets. Nonetheless, such frameworks run over the issues, for example, scantily, cool begin, and versatility that prompt to uncertain suggestions. The cutting edge setting demonstrating techniques for the most part regard settings as specific measurements like those of clients and things, and catch importance's amongst settings and clients/things. In any case, such sort of significance has much trouble in clarification, e.g., it is not natural that a client is more important to weekday than end of the week. A few takes a shot at multi-area connection forecast can likewise be utilized for the setting mindful suggestion, yet they have constraints in creating proposals under a lot of relevant data. Persuaded by late works in characteristic dialect handling, we speak to every setting esteem with an idle vector, and model the relevant data as a semantic operation on the client and thing. Moreover, we utilize the relevant working tensor to catch the regular semantic impacts of settings. For the relevant data of every client thing communication, the logical operation can be demonstrated by duplicating the working tensor with idle vectors of settings. However a client thing collaboration results can be created under particular relevant data yet can't be yielded under other logical circumstances. So we propose a pairwise positioning imperative on the relevant data.
Published by: Sachin Madhukar Kolase, Prof. V. V Jagtap
Author: Sachin Madhukar Kolase
Paper ID: V3I3-1594
Paper Status: published
Published: June 23, 2017
