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Smart Lighting Systems are designed to conserve energy without compromising the user's visual comfort. The system incorporates Smart Android Application (App) and communication technologies to adjust light intensities as per the user comfort and behavior, employing the smart sensors. This paper presents implementation of a Smart App for smart lighting system based on the location of the individual...
Conventional single phase inverter offers a square wave output which when applied to electrical appliances may damage the later reducing its efficiency and life as this inverter output waveform is not sinusoidal and contains lower and higher order harmonics in addition to fundamental. On the other hand Selective Harmonic Elimination with Pulse Width Modulation (SHE-PWM) offers a fine control of the...
The state of the art VR/AR devices provide access to completely virtual environments or augment information on the existing world seen by the user. Wearable devices encumber the users, and sometimes even cut them off completely from the real world. Users interact with digital avatars instead of the real people themselves. Spatially augmented reality (SAR) instead focuses on illuminating physical spaces...
In this paper, a novel PC based approach to model the impact of both aleatory (random) and epistemic (ignorance based) uncertainty on the performance of carbon nanotube (CNT) interconnects is presented. The key feature of this approach is a dimension fusion strategy whereby the aleatory and epistemic uncertainty in a model parameter is collectively represented using a single mixed variable. Thereafter,...
In this paper, a systematic approach to finding an optimized switching sequence for a current steering DAC to reduce the static non-linearity is presented. A methodology for calculating the error patterns of a particular process is explained. Also, a novel algorithm is proposed to find an INL bounded optimized switching sequence for any gradient profile which can even compensate for the linear gradient...
Automatic text summarization is the task of deriving a meaningful and concise brief from a given text while retaining the concept and key information conveyed by the original text. So far, numerous approaches and algorithms have been devised to achieve this goal with certain accuracy and effectiveness. One key aspect of text summarization is accurate identification of keywords from the given textual...
One of the key challenges faced by consumers is to efficiently manage and monitor the quality of cloud services. To manage service performance, consumers have to validate rules embedded in cloud legal contracts, such as Service Level Agreements (SLA) and Privacy Policies, that are available as text documents. Currently this analysis requires significant time and manual labor and is thus inefficient...
Wavelength Modulation Spectroscopy (WMS) using tunable diode laser is a versatile method for determination of concentration, temperature and velocity of absorbing gaseous molecules. This technique finds major application in industrial and scientific areas. An important component of sensors/systems based on these techniques is the phase sensitive detection for demodulation, in the form of hardware...
In Recent years we have witnessed a rapid growth in Semantic Web Data Sources. These Data Sources follow Linked Data principles to facilitate efficient information retrieval and knowledge sharing. These data sources may provide complementary, overlapping or contradicting information. In order to integrate these data sources, we perform Entity Linking. Entity Linking is an important task of identifying...
In this paper, a PC based approach for epistemic uncertainty quantification of high-speed circuits is presented. This work assumes that the epistemic uncertainty in circuit parameters is described using noninteracting fuzzy variables with multiple confidence levels ascribed to each variables. A methodology to propagate the fuzzy variables through the circuit model using PC expansions is proposed....
In this venture as we probably am aware vehicle movement clog and observing has turned out to be one of the basic issues in street transport. This paper depicts a technique to take care of the issue of intangibility of activity flag created by colossal vehicles. in this paper we propose another setting-aware way to deal with locate the present status and thickness of movement and dyanamic administration...
In any institution or company, managing the records of attendance of the staff and students or employees is a tedious task. This project focuses on automating the attendance process through a biometric scanning technique. As, the finger print is a feature that is peculiar to an individual, it would help in efficiently identifying the person and would help in saving a great deal of paper work and other...
Considering industrial development within the market the embedded systems are getting to play a big role in several process and control applications. Many of industries have bothered in checking package section as a result of a number of packages while not product within. In this way it's basic to possess a capable system to overcome this problem. This paper manages the load cell based cross verification...
Cloud computing is the network of distributed remote servers to access the information anytime, anywhere. Thus, it also referred to as ubiquitous computing. Cloud computing offers the high performance environment that has great sharing of resources across the distributed servers. Though there are large numbers of tasks to be allocated to these resources, it becomes very necessary to efficiently assign...
Wireless sensor networks are spatially distributed sensor nodes that keeps the track of the physical or environmental conditions like sound, stress waves, temperature of surrounding etc, and also send the sensed data back to the sink or base station. WSN are used in many applications like military areas, disaster management in remote areas, in building smart cities etc. Therefore security is an important...
This work is an attempt to enhance the performance of SVM for document classification using the concept of assigning fuzzy membership to documents in a class. We have proposed a novel way of computing the class representative vectors to get better membership value viz. Preprocessed Mean based FSVM (PM-FSVM). PM-FSVM is based on the concept of preprocessing the mean vector before selecting the class...
In this paper we explore detection of unusual activities using Markov Logic Network (MLN) based approach. Any human activity which is in variance from a defined usual set attracts human attention and is considered unusual. Such activities include anomaly detection in crowds, some repetition or omission of subactivities in a given sequence of activities in Ambient Assisted Living environments or an...
CGRAs are promising as accelerators due to their improved energy-efficiency compared to FPGAs. Existing CGRAs support reconfigurability for operations, but not communications because of the static neighbor-to-neighbor interconnect, leading to both performance loss and increased complexity of the compiler. In this paper, we introduce HyCUBE, a novel CGRA architecture with a reconfigurable interconnect...
People are highly dependent on online social networks (OSNs) which have attracted the interest of cyber criminals for carrying out a number of malicious activities. An entire industry of black-market services has emerged which offers fake accounts based services for sale. We, therefore, in our work, focus on detecting fake accounts on a very popular (and difficult for data collection) online social...
This paper proposes a high gain, low power instrumentation amplifier (IA) for EEG signal processing. A three opamp instrumentation amplifier has been designed by using sub-threshold three-stage op-amps with PMOS input. NMOS transistors operating in the triode region have been used to replace the passive resistors of IA. This eliminates the problems of mismatch, temperature dependency and large area...
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