Satish Palaniappan

Bio: Satish Palaniappan is an academic researcher. The author has contributed to research in topics: Python (programming language) & Multivariate statistics. The author has an hindex of 4, co-authored 6 publications receiving 77 citations.

Home Automation Systems - A Study

Abstract: With the increase in consumption of energy and population, there is a grave need to conserve energy in every way possible. The inability to access and control the appliances from remote locations is one of the major reasons for energy loss. A web or an android application is used by the users to give instructions to these systems. This system can make use of a host of communication methods such as Wi-Fi, GSM, Bluetooth, ZigBee. Different controlling devices and configurations can be found in existing systems. Such systems have been found already in many places for a wide variety of applications. This paper presents a survey of

Automated Meter Reading System - A Study

Abstract: Automated Meter reading systems are a invaluable technological advancement that can lead to a better standard of living, owing to the fact that metering has become a part and parcel of our mundane lives. It solves many issues of the traditional meter reading system like need for human resources, efficiency, accuracy, delayed work, unavailability of customer during metering visit by employee, etc. Moreover it is more economical and helps to save energy in a more efficient and effective way. Furthermore it has a very notable advantage of having the ability to predict the energy demands of the future, starting from every household to the entire planet. Automated meter reading systems have been implemented using many different technologies like GSM, ZigBee, PLC, D-SCADA, WiMAX and Hybrid Technologies that comprises of a mixture of the above. This survey paper describes the working models, strengths and weaknesses of each technology by considering various factors like feasibility, cost, reliability, efficiency, maintenance and user experience. This paper not only surveys the existing Automated Metering systems but also provides an abstract view of developing the most optimal automated meter reading system.

hyppo: A Comprehensive Multivariate Hypothesis Testing Python Package

Abstract: We introduce hyppo, a unified library for performing multivariate hypothesis testing, including independence, two-sample, and k-sample testing. While many multivariate independence tests have R packages available, the interfaces are inconsistent and most are not available in Python. hyppo includes many state of the art multivariate testing procedures. The package is easy-to-use and is flexible enough to enable future extensions. The documentation and all releases are available at this https URL.

mgcpy: A Comprehensive High Dimensional Independence Testing Python Package.

Abstract: With the increase in the amount of data in many fields, a method to consistently and efficiently decipher relationships within high dimensional data sets is important. Because many modern datasets are high-dimensional, univariate independence tests are not applicable. While many multivariate independence tests have R packages available, the interfaces are inconsistent, most are not available in Python. mgcpy is an extensive Python library that includes many state of the art high-dimensional independence testing procedures using a common interface. The package is easy-to-use and is flexible enough to enable future extensions. This manuscript provides details for each of the tests as well as extensive power and run-time benchmarks on a suite of high-dimensional simulations previously used in different publications. The appendix includes demonstrations of how the user can interact with the package, as well as links and documentation.

Deep Learning the Indus Script

Abstract: Standardized corpora of undeciphered scripts, a necessary starting point for computational epigraphy, requires laborious human effort for their preparation from raw archaeological records. Automating this process through machine learning algorithms can be of significant aid to epigraphical research. Here, we take the first steps in this direction and present a deep learning pipeline that takes as input images of the undeciphered Indus script, as found in archaeological artifacts, and returns as output a string of graphemes, suitable for inclusion in a standard corpus. The image is first decomposed into regions using Selective Search and these regions are classified as containing textual and/or graphical information using a convolutional neural network. Regions classified as potentially containing text are hierarchically merged and trimmed to remove non-textual information. The remaining textual part of the image is segmented using standard image processing techniques to isolate individual graphemes. This set is finally passed to a second convolutional neural network to classify the graphemes, based on a standard corpus. The classifier can identify the presence or absence of the most frequent Indus grapheme, the "jar" sign, with an accuracy of 92%. Our results demonstrate the great potential of deep learning approaches in computational epigraphy and, more generally, in the digital humanities.

Smart home automation system using Bluetooth technology

Abstract: In this paper a low cost and user friendly remote controlled home automation system is presented using Arduino board, Bluetooth module, smartphone, ultrasonic sensor and moisture sensor. A smartphone application is used in the suggested system which allows the users to control up to 18 devices including home appliances and sensors using Bluetooth technology. Nowadays, most of conventional home automation systems are designed for special purposes while proposed system is a general purpose home automation system. Which can easily be implement in existing home. The suggested system has more features than conventional home automation systems such as an ultrasonic sensor is used for water level detection and soil moisture sensor is use for automatic plant irrigation system. This paper also describes the hardware and software architecture of system, future work and scope. The proposed prototype of home automation system is implemented and tested on hardware and it gave the exact and expected results.

Restoring and attributing ancient texts using deep neural networks

Abstract: Ancient history relies on disciplines such as epigraphy-the study of inscribed texts known as inscriptions-for evidence of the thought, language, society and history of past civilizations1. However, over the centuries, many inscriptions have been damaged to the point of illegibility, transported far from their original location and their date of writing is steeped in uncertainty. Here we present Ithaca, a deep neural network for the textual restoration, geographical attribution and chronological attribution of ancient Greek inscriptions. Ithaca is designed to assist and expand the historian's workflow. The architecture of Ithaca focuses on collaboration, decision support and interpretability. While Ithaca alone achieves 62% accuracy when restoring damaged texts, the use of Ithaca by historians improved their accuracy from 25% to 72%, confirming the synergistic effect of this research tool. Ithaca can attribute inscriptions to their original location with an accuracy of 71% and can date them to less than 30 years of their ground-truth ranges, redating key texts of Classical Athens and contributing to topical debates in ancient history. This research shows how models such as Ithaca can unlock the cooperative potential between artificial intelligence and historians, transformationally impacting the way that we study and write about one of the most important periods in human history.

Iot based smart home automation system

Abstract: The Internet of Things (IoT) is the network of devices such as vehicles, and home devices that contain electronics, software, actuators, connectivity which allows these things to connect, interact and exchange data. Automation is the technology by which a process is performed with minimum human efforts. Automation or automatic control is the use of discrete control systems for operating equipment. This paper is focused on five different techniques such as home automation system by using symmetric encryption scheme, Eet-based Smart Home intelligent system, by using set of sensors, low-cost Wi-Fi based automation system for Smart Home, monitoring and controlling the home appliances via World Wide Web. Even though, some issues arises in every method which are analyzed in analysis and discussion section. To improve these issues, this paper has proposed a new home automation technique with the use of IOT, so as to reduce the existing problems and make home automation more smart and secure. Index Terms Internet of Things (IOT), Home automation system.

Smart Home With Virtual Assistant Using Raspberry Pi

Abstract: "Olivia" is a Virtual Assistant developed specifically for homes, which can be integrated into any home to make it a Smart Home. The user can interact solely through his/her voice with Olivia (the virtual assistant) to get any his/her work done around the house.Olivia-the virtual assistant can be installed anywhere inside any house as it lives inside Raspberry Pi which is a really compact and inexpensive computer and can be connected easily to devices such as microphone, speakers, cameras, PIR etc. Thus having the ability to convert any home into a smart home.In this system we have integrated Olivia into smart door lock for ‘The Smart Home Surveillance System’ implemented on Raspberry Pi. The system is smart enough to identify and differentiate between the owner and stranger using face recognition and act accordingly. In this system, Olivia can interact with the stranger at the door in case the owner is not present at home and will notify the owner about the visit using Email and SMS along with the image of the stranger.Similarly, Olivia can be integrated to other systems and appliances such as tube lights, air conditioners etc. making them smarter.The virtual assistant is highly beneficial for visually impaired people as it can perform various functions inside the house such as telling about the weather, stock prices, performing various calculations, telling jokes or playing songs all solely through voice.