AIJETETSECI

Volume-1,Issue-1 (2017, JAN/FEB)

(ISSN-XXXX-XXXX) ONLINE

Anveshana’s International Journal of Emerging Trends In Electronics Technology, Software Engineering and Computational Intelligence

TREATMENT PREDICTION VIA SPARSE DEEP LEARNING

M.MANOJ KUMAR & CH.SIVASANKAR

Page 1-4

Anveshana’s International Journal of Emerging Trends In Electronics Technology, Software Engineering and Computational Intelligence (AIJETETSECI) - ISSN: XXXX-XXXX (Online)
Volume-1, Issue-1, (JAN/FEB) 2017

Paper Title

TREATMENT PREDICTION VIA SPARSE DEEP LEARNING

Abstract

Programmed illness surmising is of significance to cross over any barrier between what online wellbeing seekers with irregular side effects need and what occupied human specialists with one-sided skill can offer. In any case, precisely and proficiently surmising infections is non-trifling, particularly for group based wellbeing administrations because of the vocabulary crevice, inadequate data, related therapeutic ideas, and constrained excellent preparing tests. In this paper, we first report a client study on the data needs of wellbeing seekers as far as inquiries and afterward select those that request conceivable sickness , treatment of their showed side effects for further logical. We next propose a novel profound learning plan to derive the conceivable sicknesses given the inquiries of wellbeing seekers. The proposed plan contains two key parts. The principal all around mines the separate medicinal marks from crude components. The second esteems the crude components and their marks as information hubs in one layer and shrouded hubs in the resulting layer, separately. In the interim, it takes in the between relations between these two layers through pre-preparing with pseudo marked information. Taking after that, the concealed hubs serve as crude elements for the more unique mark mining. With incremental and option rehashing of these two segments, our plan constructs an inadequately associated profound engineering with three shrouded layers. By and large, it well fits particular assignments with tweaking. Broad analyses on a genuine dataset marked by online specialists demonstrate the critical execution additions of our plan.

Keywords Classifier, Reflection, Extraction, Classification, Learning, Medline.

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SMART BUILDING POWER MANAGEMENT WITH MONITORING AND CONTROLLING USING WSNS

S.JHANSI & S.V.S.JAYA SHYAM

Page 5-7

Anveshana’s International Journal of Emerging Trends In Electronics Technology, Software Engineering and Computational Intelligence (AIJETETSECI) - ISSN: XXXX-XXXX (Online)
Volume-1, Issue-1, (JAN/FEB) 2017

Paper Title

SMART BUILDING POWER MANAGEMENT WITH MONITORING AND CONTROLLING USING WSNS

Abstract

In this project, we design and development of a smart monitoring and controlling system for household electrical appliances in real time. The system principally monitors electrical parameters of household appliances such as voltage and current and subsequently calculates the power consumed. The novelty of this system is the implementation of the controlling mechanism of appliances in different ways. The system is a low-cost and flexible in operation and thus can save electricity expense of the consumers. A smart power monitoring and control system has been designed and developed toward the implementation of an intelligent building. The developed system effectively monitors and controls the electrical appliance usages at an elderly home. Thus, the real-time monitoring of the electrical appliances can be viewed through a website. The system can be extended for monitoring the whole intelligent building. We aim to determine the areas of daily peak hours of electricity usage levels and come with a solution by which we can lower the consumption and enhance better utilization of already limited resources during peak hours. Depending on the inhabitant usages, appliances connected by smart sensing units are controlled either by automation based on the tariff conditions or by the inhabitant locally using GUI and remotely using the website. The tariff conditions refer to the situation wherein unimportant electrical appliances will be automatically switched off by the system during high price of the electricity.

Keywords ACS712, LPC2148, ZIGBEE, Visual basic GUI App.

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SURVEILLANCE OF THE UNATTENDED BAGGAGE AND BACKTRACKING VERIFICATION OF THE OWNER

A. SIRISHA & DR P.VEERANARAYANREDDY

Page 8-11

Anveshana’s International Journal of Emerging Trends In Electronics Technology, Software Engineering and Computational Intelligence (AIJETETSECI) - ISSN: XXXX-XXXX (Online)
Volume-1, Issue-1, (JAN/FEB) 2017

Paper Title

SURVEILLANCE OF THE UNATTENDED BAGGAGE AND BACKTRACKING VERIFICATION OF THE OWNER

Abstract

This paper designs an off the shell surveillance system which tracks, detects, categorizes the unattended objects (generally termed as abandoned object detection) in the scene using state-of-the-art computer vision technique. A much popular time efficient background subtraction algorithm MOG is used by this paper to generate long term and short term foreground models.. The temporal consistency has been added to reduce the percentages of false alarms. Also provides an efficient back tracking verification of the owner for the further inspections. . On spotting the emergent scenario, the hardware part (ARM 7 microcontroller, a buzzer and GSM) alerts the public by raising an alarm This surveillance system has been tested using the standard data sets PETS 2006 and AVSS 2007 .Subsequent reduction in false alarm rate has been noticed.

Keywords Abandoned object detection; temporal consistency; background subtraction; object tracking; visual surveillance.

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DELAY-AWARE WI-FI OFFLOADING AND NETWORK SELECTION

BHARATHI KALA & DR.V.THRIMURTHULU

Page 12-19

Anveshana’s International Journal of Emerging Trends In Electronics Technology, Software Engineering and Computational Intelligence (AIJETETSECI) - ISSN: XXXX-XXXX (Online)
Volume-1, Issue-1, (JAN/FEB) 2017

Paper Title

DELAY-AWARE WI-FI OFFLOADING AND NETWORK SELECTION

Abstract

To accommodate the explosive growth in mobile data traffic, both mobile cellular operators and mobile users are increasingly interested in offloading the traffic from cellular networks to Wi-Fi networks. However, previously proposed offloading schemes mainly focus on reducing the cellular data usage, without paying too much attention on the quality of service (QoS) requirements of the applications. In this paper, we study the Wi-Fi offloading problem with delay-tolerant applications under usage based pricing. We aim to achieve a good tradeoff between the user’s payment and its QoS characterized by the file transfer deadline. We first propose a general Delay-Aware Wi-Fi Offloading and Network Selection (DAWN) algorithm for a general single-user decision scenario. We then analytically establish the sufficient conditions, under which the optimal policy exhibits a threshold structure in terms of both the time and file size. As a result, we propose a monotone DAWN algorithm that approximately solves the general offloading problem, and has a much lower computational complexity comparing to the optimal algorithm. Simulation results show that both the general and monotone DAWN schemes achieve a high probability of completing file transfer under a stringent deadline, and require the lowest payment under a no stringent deadline as compared with three heuristic schemes.

KeywordsDAWN, Mobile data offloading, cellular and Wi-Fi integration, dynamic programming, threshold policy.

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VIRTUAL PILOT SIGNALS FOR MIMO-OFDM SYSTEMS FOR ITERATIVE CHANNEL ESTIMATION

RAGA DIVYA, DR.V.THRIMURTHULU & MS. G. DILLI RANI

Page 20-25

Anveshana’s International Journal of Emerging Trends In Electronics Technology, Software Engineering and Computational Intelligence (AIJETETSECI) - ISSN: XXXX-XXXX (Online)
Volume-1, Issue-1, (JAN/FEB) 2017

Paper Title

VIRTUAL PILOT SIGNALS FOR MIMO-OFDM SYSTEMS FOR ITERATIVE CHANNEL ESTIMATION

Abstract

The number of transmit and receive antennas in multi-input multi-output (MIMO) systems is increasing rapidly to enhance the throughput and reliability of next-generation wireless systems. Benefits of large size MIMO systems, however, can be realized only when the quality of estimated channels is ensured at the transmitter and receiver side alike. In this paper, we introduce a new decision-directed channel estimation technique dealing with pilot shortage in the MIMO-OFDM systems. The proposed channel estimator uses soft symbol decisions obtained by iterative detection and decoding (IDD) scheme to enhance the quality of channel estimate. Using the soft information from the decoders, the proposed channel estimator selects reliable data tones, subtracts interstream interferences, and performs re-estimation of the channels. We have analyzed the optimal data tone selection criterion, which accounts for the reliability of symbol decisions and correlation of channels between the data tones and pilot tones. From numerical simulations, We have shown that the proposed channel estimator achieves considerable improvement in system performance over the conventional channel estimators in realistic MIMO-OFDM scenarios.

Keywords Channel estimation, decision directed channel estimation, iterative detection and decoding, joint channel estimation and detection, multi-input multi-output (MIMO), orthogonal frequency division multiplexing (OFDM).

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A VERSATILE AND CONSISTENT TECHNIQUE TO BUILD CONTENT-BASED PUBLISH/SUBSCRIBE FRAMEWORKS

UDAY KIRAN. N & T.KUMAR RAJA M.E.,

Page 26-29

Anveshana’s International Journal of Emerging Trends In Electronics Technology, Software Engineering and Computational Intelligence (AIJETETSECI) - ISSN: XXXX-XXXX (Online)
Volume-1, Issue-1, (JAN/FEB) 2017

Paper Title

A VERSATILE AND CONSISTENT TECHNIQUE TO BUILD CONTENT-BASED PUBLISH/SUBSCRIBE FRAMEWORKS

Abstract

Portrayed by the expanding entry rate of live substance, the crisis applications represent an extraordinary test: how to spread extensive scale live substance to intrigued clients in an adaptable and dependable way. The distribute/subscribe (bar/sub) model is broadly utilized for information dispersal in view of its ability of flawlessly extending the framework to huge size. Be that as it may, most occasion coordinating administrations of existing bar/sub frameworks either prompt low coordinating throughput while coordinating a substantial number of skewed memberships, or interfere with scattering when an expansive number of servers fizzle. The distributed computing gives incredible chances to the necessities of complex figuring and dependable correspondence. In this paper, we propose SREM, a versatile and solid occasion coordinating administration for substance based bar/sub frameworks in distributed computing environment. To accomplish low steering inertness and solid connections among servers, we propose a circulated overlay Skip Cloud to arrange servers of SREM. Through a half and half space parcelling system HPartition, extensive scale skewed memberships are mapped into various subspaces, which guarantees high coordinating throughput and gives different applicant servers to every occasion. In addition, a progression of elements upkeep components are widely concentrated on. To assess the execution of SREM, 64 servers are sent and a great many live substance things are tried in a Cloud Stack testbed. Under different parameter settings, the test results show that the activity overhead of steering occasions in Skip Cloud is no less than 60 percent littler than in Chord overlay, the coordinating rate in SREM is no less than 3.7 times and at most 40.4 times bigger than the single-dimensional dividing method of Blue Dove. Furthermore, SREM empowers the occasion misfortune rate to drop back to 0 in several seconds regardless of the fact that countless fall flat at the same time.

Keywords Publish/subscribe, event matching, overlay construction

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DESIGN AND IMPLEMENTATION OF MULTIFUNCTION DUAL VOLTAGE SOURCE INVERTER FOR GRID CONNECTED SYSTEMS

C. BHAGYASREE & K. JAGADEESH KUMAR

Page 30-37

Anveshana’s International Journal of Emerging Trends In Electronics Technology, Software Engineering and Computational Intelligence (AIJETETSECI) - ISSN: XXXX-XXXX (Online)
Volume-1, Issue-1, (JAN/FEB) 2017

Paper Title

DESIGN AND IMPLEMENTATION OF MULTIFUNCTION DUAL VOLTAGE SOURCE INVERTER FOR GRID CONNECTED SYSTEMS

Abstract

This paper presents a dual voltage source inverter (DVSI) scheme to enhance the power quality and reliability of the micro grid system. The proposed scheme is comprised of two inverters, which enables the micro grid to exchange power generated by the distributed energy resources (DERs) and also to compensate the local unbalanced and nonlinear load. The control algorithms are developed based on instantaneous symmetrical component theory (ISCT) to operate DVSI in grid sharing and grid injecting modes. The proposed scheme has increased reliability, lower bandwidth requirement of the main inverter, lower cost due to reduction in filter size, and better utilization of micro grid power while using reduced dc-link voltage rating for the main inverter. These features make the DVSI scheme a promising option for micro grid supplying sensitive loads. The topology and control algorithm are validated through extensive simulation.

Keywords Grid connected inverter, instantaneous symmetrical component theory (ISCT), micro grid, power quality.

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TREATMENT PREDICTION VIA SPARSE DEEP LEARNING

SMART BUILDING POWER MANAGEMENT WITH MONITORING AND CONTROLLING USING WSNS

SURVEILLANCE OF THE UNATTENDED BAGGAGE AND BACKTRACKING VERIFICATION OF THE OWNER

DELAY-AWARE WI-FI OFFLOADING AND NETWORK SELECTION

VIRTUAL PILOT SIGNALS FOR MIMO-OFDM SYSTEMS FOR ITERATIVE CHANNEL ESTIMATION

A VERSATILE AND CONSISTENT TECHNIQUE TO BUILD CONTENT-BASED PUBLISH/SUBSCRIBE FRAMEWORKS

DESIGN AND IMPLEMENTATION OF MULTIFUNCTION DUAL VOLTAGE SOURCE INVERTER FOR GRID CONNECTED SYSTEMS

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