Digital Communications and Networking Commons^™

Aplikasi Alat Ukur Debu Berbasis Sms Dan Analisis Model Dispersi Gauss, S. Syahrorini, A. Ahfas

Elinvo (Electronics, Informatics, and Vocational Education)

Udara merupakan komponen penting dalam kehidupan ini, untuk itu perlu dijaga kualitas udara dari polusi udara. Penurunan kualitas udara akibat polusi debu bisa menyebabkan penyakit saluran pernafasan. Untuk mempermudah penyampaian hasil pengukuran debu udara ambien sesuai perkembangan teknologi bisa menggunakan sms. Perancangan alat ukur debu berbasis sms menggunakan sensor debu gp2y1010au0f mendeteksi konsentrasi debu, rangkaian amplifier, mikrokontroler Arduino Uno, modul SMS Gateway sim 900 dan LCD (Liquid Crystal Display). Aplikasi pengukuran di PG. Krembung Sidoarjo Jatim pada Desa Lemujut berjarak 1800 m dan desa Mojoruntut berjarak 1500 m. Hasil pengukuran menunjukkan konsentrasi dibawa baku mutu udara ambien, jadi …

Sistem Pendeteksi Dini Kebakaran Gedung Berbasis Zigbee Mesh Network, Ponco Wali Pranoto, Rovadita Anggorowati

Elinvo (Electronics, Informatics, and Vocational Education)

Perkembangan teknologi khususnya dalam hal informasi dan komunikasi menjadi peran penting dalam dunia masa kini, sebagai contoh penerapan teknologi informasi dan komunikasi telah merambah dalam segala aspek kehidupan diantaranya ialah rumah tangga, otomotif, militer, kesehatan, industri, hingga lingkungan. Salah satu contoh perkembangan teknologi informasi dan komunikasi saat ini ialah wireless sensor network (WSN) yang mana pengembangan dan penelitiannya masih sangat terbuka lebar. Pada penelitian ini peneliti membangun sebuah sistem deteksi bahaya kebakaran dengan mengimplementasikan Zigbee Mesh Network berbasis wireless sensor network (WSN). Untuk sensor pendeteksi bahaya kebakaran yang digunakan adalah LM35, dan MQ-2 selain itu untuk komunikasi wireless nya menggunakan …

A Companion Study Guide For The Cisco Dcicn Data Center Certification Exam (200-150), Miguel Ramlatchan

Distance Learning Faculty & Staff Books

The official Cisco DCICN book and practice exams are great resources, but this is not an easy exam. This study guide is a companion to those resources and summarizes the subject areas into additional review questions with an answer description for each item. This book is not a "braindump" and it is not bootleg screenshots of the actual exam. Instead, this book provides additional context and examples, serves to complement other study guides, and provides additional examples. If you are getting ready to take the exam for the first time, I hope that this guide provides the extra help to …

A Hierarchical Spectrum Access Scheme For Tv White Space Coexistence In Hetergeneous Networks, Mohammad Zaeri-Amirani, Fatemeh Afghah, Sherali Zeadally

Information Science Faculty Publications

Among current techniques for dynamic access to television (TV) white space (TVWS), geolocation database-based access provides a promising performance in protecting the TV-band incumbents from interference that cannot be efficiently achieved in other license-exempt models. However, in heterogeneous wireless networks, most portable devices do not have such access and may cause interference to TV incumbents. We propose a hierarchical model for spectrum sharing in TVWS that includes a wide range of fixed and portable devices. In the first tier, the TV broadcaster can lease the spectrum bands to local fixed users based on a soft license agreement. The fixed users …

Smart Iot Sprinkler System, Galib F. Rahman

Publications and Research

The average family spends more than $1000 in water costs per year. One-way water is commonly wasted in many households is via inefficient sprinkler systems for lawns. Current technology has enabled the development of automatic sprinkler systems, which can be preconfigured to operate at desired times of day and intervals. Although these systems may reduce the amount of water utilized overall, they are not weather forecast aware. In situations when rainfall is upcoming the systems still water the lawn. In this project, we plan to implement a smart sprinkler system that has full awareness of upcoming weather and take account …

Facepet: Enhancing Bystanders' Facial Privacy With Smart Wearables/Internet Of Things, Alfredo J. Perez, Sherali Zeadally, Luis Y. Matos Garcia, Jaouad A. Mouloud, Scott Griffith

Information Science Faculty Publications

Given the availability of cameras in mobile phones, drones and Internet-connected devices, facial privacy has become an area of major interest in the last few years, especially when photos are captured and can be used to identify bystanders’ faces who may have not given consent for these photos to be taken and be identified. Some solutions to protect facial privacy in photos currently exist. However, many of these solutions do not give a choice to bystanders because they rely on algorithms that de-identify photos or protocols to deactivate devices and systems not controlled by bystanders, thereby being dependent on the …

A Survey Of Virtual Network Architectures, Lenoy Avidan

Computer Science and Software Engineering

With the storage needs of the world increasing, especially with the growth of cloud computing, data centers are being utilized more than ever. The increasing need of storage has led to more use of virtualization to help intra and inter data center communications. The virtualization of physical networks is used to help achieve this goal, but with the creation of Virtual Networks, systems must be designed to create, manage, and secure them. A Virtual Network Architecture is the system design for creating and maintaining virtual network components and the resulting networks they create. Different companies design different Virtual Network Architectures, …

Distance-Based Cluster Head Election For Mobile Sensing, Ruairí De Fréin, Liam O'Farrell

Conference papers

Energy-efficient, fair, stochastic leader-selection algorithms are designed for mobile sensing scenarios which adapt the sensing strategy depending on the mobile sensing topology. Methods for electing a cluster head are crucially important when optimizing the trade-off between the number of peer-to- peer interactions between mobiles and client-server interactions with a cloud-hosted application server. The battery-life of mobile devices is a crucial constraint facing application developers who are looking to use the convergence of mobile computing and cloud computing to perform environmental sensing. We exploit the mobile network topology, specifically the location of mobiles with respect to the gateway device, to stochastically …

Evaluating Load Adjusted Learning Strategies For Client Service Levels Prediction From Cloud-Hosted Video Servers, Ruairí De Fréin, Obinna Izima, Mark Davis

Conference papers

Network managers that succeed in improving the accuracy of client video service level predictions, where the video is deployed in a cloud infrastructure, will have the ability to deliver responsive, SLA-compliant service to their customers. Meeting up-time guarantees, achieving rapid first-call resolution, and minimizing time-to-recovery af- ter video service outages will maintain customer loyalty.

To date, regression-based models have been applied to generate these predictions for client machines using the kernel metrics of a server clus- ter. The effect of time-varying loads on cloud-hosted video servers, which arise due to dynamic user requests have not been leveraged to improve prediction …

Amplifying The Prediction Of Team Performance Through Swarm Intelligence And Machine Learning, Erick Michael Harris

Master's Theses

Modern companies are increasingly relying on groups of individuals to reach organizational goals and objectives, however many organizations struggle to cultivate optimal teams that can maximize performance. Fortunately, existing research has established that group personality composition (GPC), across five dimensions of personality, is a promising indicator of team effectiveness. Additionally, recent advances in technology have enabled groups of humans to form real-time, closed-loop systems that are modeled after natural swarms, like flocks of birds and colonies of bees. These Artificial Swarm Intelligences (ASI) have been shown to amplify performance in a wide range of tasks, from forecasting financial markets to …

Automation Of Post-Earthquake Civil Infrastructure Reconnaissance, Jack Bergquist

Architectural Engineering

Traditionally post-earthquake structural engineering reconnaissance consists of a team of experts who are deployed to the field to record and capture earthquake damage data, which is later uploaded into online repositories. Despite many advances to these data archives in recent years, the entries in online repositories often have limited metadata which make it difficult and time consuming to extract specific damage evidence that can be used for meaningful analysis. This report outlines the author’s contributions to overcoming these challenges via the development of a neural network that automatically filters and classifies post-earthquake civil infrastructure damage data after a seismic event. …

Building A Smart Nation: Singapore's Digital Journey, Siu Loon Hoe

Research Collection School Of Computing and Information Systems

Singapore’s smart nation journey began when the drive was officially announced by the country’s Prime Minister Lee Hsien Loong in November 2014 (Lee, 2014). The vision is to improve people’s lives and create more opportunities through information and communications technology (ICT). The smart nation drive is an effort by the government to co-create innovative, people-centric solutions with citizens and businesses. The three priority areas, underpinned by cyber security, are elderly, transportation and data. Since then, various digital strategies and policies have been further articulated, and digital programmes and projects implemented in the country.

Crude Oil Prices Forecasting: Time Series Vs. Svr Models, Xin James He

Journal of International Technology and Information Management

This research explores the weekly crude oil price data from U.S. Energy Information Administration over the time period 2009 - 2017 to test the forecasting accuracy by comparing time series models such as simple exponential smoothing (SES), moving average (MA), and autoregressive integrated moving average (ARIMA) against machine learning support vector regression (SVR) models. The main purpose of this research is to determine which model provides the best forecasting results for crude oil prices in light of the importance of crude oil price forecasting and its implications to the economy. While SVR is often considered the best forecasting model in …

Table Of Contents Jitim Vol 27 Issue 3, 2018

Journal of International Technology and Information Management

Table of Contents

The Relationship Between Organizational Resources And Green It/S Adoption: A Rbv Approach, Lutfus Sayeed, Alberto Onetti

Journal of International Technology and Information Management

ABSTRACT

The objective of the present study was to empirically explore the impact of the implementation of Green IT/S measures on organizational resources in the US and European firms. The study examined the influence of reconfiguration of resources within a firm while adopting various Green IT/S practices and technologies. Green IT/S implementation requires resource commitment from organizations (Bose and Luo, 2011). What are these resources and how do they affect the extent of Green IT/S measures adopted by businesses? Resource Based View (RBV) of the firm was used as the theoretical framework of the study. The relationship between the adoption …

Deep Unsupervised Pixelization, Chu Han, Qiang Wen, Shengfeng He, Qianshu Zhu, Yinjie Tan, Guoqiang Han, Tien-Tsin Wong

Research Collection School Of Computing and Information Systems

In this paper, we present a novel unsupervised learning method for pixelization. Due to the difficulty in creating pixel art, preparing the paired training data for supervised learning is impractical. Instead, we propose an unsupervised learning framework to circumvent such difficulty. We leverage the dual nature of the pixelization and depixelization, and model these two tasks in the same network in a bi-directional manner with the input itself as training supervision. These two tasks are modeled as a cascaded network which consists of three stages for different purposes. GridNet transfers the input image into multi-scale grid-structured images with different aliasing …

Smart Surge Irrigation Using Microcontroller Based Embedded Systems And Internet Of Things, Prashant Dinkar Borhade

Graduate Theses and Dissertations

Surge Irrigation is a type of furrow irrigation and one of many efficient irrigation techniques. It is one of the economical techniques and requires minimum labor for monitoring it. In surge irrigation, water is applied intermittently to a field to achieve uniform distribution of water along the furrows, which is important while irrigating, as it ensures that there is enough water near the root zone of the crop. The uneven distribution can cause a loss in crop productivity.

Surge irrigation uses a surge valve, which is an electro-mechanical device that irrigates a field. The commercial surge valves available on the …

Programmable Time-Domain Digital-Coding Metasurface For Non-Linear Harmonic Manipulation And New Wireless Communication Systems, Jie Zhao, Xi Yang, Jun Yan Dai, Qiang Cheng, Xiang Li, Ning Hua Qi, Jun Chen Ke, Guo Dong Bai, Shuo Liu, Shi Jin, Andrea Alù, Tie Jun Cui

Publications and Research

Optical non-linear phenomena are typically observed in natural materials interacting with light at high intensities, and they benefit a diverse range of applications from communication to sensing. However, controlling harmonic conversion with high efficiency and flexibility remains a major issue in modern optical and radio-frequency systems. Here, we introduce a dynamic time-domain digital-coding metasurface that enables efficient manipulation of spectral harmonic distribution. By dynamically modulating the local phase of the surface reflectivity, we achieve accurate control of different harmonics in a highly programmable and dynamic fashion, enabling unusual responses, such as velocity illusion. As a relevant application, we propose and …

3d Wi-Fi Campus Coverage: Flying A Drone, Richard Thompson, Tyler Williams, Seth Pritchett, Tracy Whitlock

Posters-at-the-Capitol

Everyone in a college environment is immersed in their electronic devices. Whether it be in the quad, the classroom, the library or their favorite nook by the windows, they all need a reliable Wi-Fi signal to get their work done. In this era most of the tasks that has to be completed require some sort of connection between electronic devices especially if the individuals require information located on the internet. The main method of accessing the internet is using Wifi technology which uses electromagnetic waves to propagate information across a certain area. Considering the properties of these electromagnetic frequencies it …

Cloudsat: Iot Approach To Small Satellite Ground Infrastructure, Brian Zufelt

Electrical and Computer Engineering ETDs

Over the last decade, the cost of space access has dramatically decreased with the creation of the CubeSat standard. The CubeSat standard defines the structural requirements for an on-orbit deployer and satellite to be placed into orbit. The average cost of creating a space mission with the CubeSat standard can range from $200 thousand to over $3 million. This lower cost has allowed many Universities, and small businesses to create their own space programs. However, a significant portion of the investment for any new space asset is the development of the ground system to communicate with the satellite. These costs …