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Sorption And Ion Exchange Behaviour Of Natural Zeolite Packing, Chandra Wahyu Purnomo, Bernice Lenora, Wiratni Budhijanto, Hirofumi Hinode 2017 Department of Chemical Engineering, Engineering Faculty, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia

Sorption And Ion Exchange Behaviour Of Natural Zeolite Packing, Chandra Wahyu Purnomo, Bernice Lenora, Wiratni Budhijanto, Hirofumi Hinode

Makara Journal of Technology

It is well known that zeolite is an efficient metal ions adsorbent. The excess charge of the zeolite building blocks i.e. (AlO4)-5 and (SiO4)-4 creating a negative surface charge that attract metal cations. Beside the surface charge, zeolite also has three dimensional pore structure and reasonably large surface area which also can be used as adsorption sites. Ease of cation uptake make it suitable for many process with adsorption and desorption application. This study was conducted to observe the sorption and ion exchange behaviour of zeolite-betonite rings toward iron and cobalt cations. The results shows that the adsorption patterns follow …


Influence Of Polyethylene Glycol (Peg) In Cmc-Nh4br Based Polymer Electrolytes: Conductivity And Electrical Study, Nur Khalidah Zainuddin, Ahmad Salihin Samsudin 2017 Advanced Materials Group, Faculty of Industrial Sciences and Technology (FIST), Universiti Malaysia Pahang, 26300 Pahang, Malaysia

Influence Of Polyethylene Glycol (Peg) In Cmc-Nh4br Based Polymer Electrolytes: Conductivity And Electrical Study, Nur Khalidah Zainuddin, Ahmad Salihin Samsudin

Makara Journal of Technology

The present work was carried with new type and promising polymer electrolytes system by development of carboxyl methylcellulose (CMC) doped NH4Br and plasticized with polyethylene glycol (PEG). The sample was successfully prepared via solution casting with no separation phase and good mechanical properties. The electrical conductivity and thermal conductivity of CMC-NH4Br-PEG based PEs system have been measured by the electrical impedance spectroscopy method in the temperature range of 303–373 K. The highest ionic conductivity gained is 2.48 x 10-3 Scm-1 at ambient temperature for sample contain with 8 wt. % PEG. It can be concluded that the plasticized is accountable …


Purification Simulation With Vapor Permeation And Distillation-Adsorption In Bioethanol Plant, Misri Gozan, Mia Sari Setiawan, Kenny Lischer 2017 Biorefinery Engineering Group, Department of Chemical Engineering, Faculty of Engineering, Universitas Indonesia, Depok 16424, Indonesia

Purification Simulation With Vapor Permeation And Distillation-Adsorption In Bioethanol Plant, Misri Gozan, Mia Sari Setiawan, Kenny Lischer

Makara Journal of Technology

High purity of Bioethanol is required in biofuel mixing with gasoline (EXX). In bioethanol production line, the azeotropic property of ethanol-water becomes the barrier for purification process. This study examined two bioethanol separation processes by support of simulation tools, Superpro Designer 9.0 software. Ethanol purity and a low costeconomical process were the major considerations. Purification method of vapor permeation membrane technology was compared with distillation-adsorption method. Data from previous lab experiments and some literatures were used. The results showed that distillation-adsorption method is more economical compared to vapor permeation technology. Payback period of the simulation is 3.9 years and 4.3 …


The Design And Optimization Of Cooperative Mobile Edge, Xueqing Huang 2017 New Jersey Institute of Technology

The Design And Optimization Of Cooperative Mobile Edge, Xueqing Huang

Dissertations

As the world is charging towards the Internet of Things (IoT) era, an enormous amount of sensors will be rapidly empowered with internet connectivity. Besides the fact that the end devices are getting more diverse, some of them are also becoming more powerful, such that they can function as standalone mobile computing units with multiple wireless network interfaces. At the network end, various facilities are also pushed to the mobile edge to foster internet connections. Distributed small scale cloud resources and green energy harvesters can be directly attached to the deployed heterogeneous base stations.

Different from the traditional wireless access …


Forensic Research On Detecting Seam Carving In Digital Images, Jingyu Ye 2017 New Jersey Institute of Technology

Forensic Research On Detecting Seam Carving In Digital Images, Jingyu Ye

Dissertations

Digital images have been playing an important role in our daily life for the last several decades. Naturally, image editing technologies have been tremendously developed due to the increasing demands. As a result, digital images can be easily manipulated on a personal computer or even a cellphone for many purposes nowadays, so that the authenticity of digital images becomes an important issue. In this dissertation research, four machine learning based forensic methods are presented to detect one of the popular image editing techniques, called ‘seam carving’.

To reveal seam carving applied to uncompressed images from the perspective of energy distribution …


Implementing Occupancy Sensor Lighting Controls In Cal Poly Cic Lab Classrooms, Mitchell Packard 2017 California Polytechnic State University, San Luis Obispo

Implementing Occupancy Sensor Lighting Controls In Cal Poly Cic Lab Classrooms, Mitchell Packard

Construction Management

Occupancy sensors are lighting control devices that automatically turn lights on when they detect motion, and off when motion is not detected for an allotted time period. These sensors can be applied virtually anywhere, indoor or outdoor, and can provide substantial energy savings. One application that does not utilize occupancy sensors often enough is classrooms. Cal Poly currently utilizes an outdated toggle switch system that students do not maintain properly, wasting a large quantity of energy. This paper will examine the maintaining of the current lighting control system in Cal Poly’s Construction Innovation Center (CIC) lab classrooms; the operating cost …


Silent Communication Device, Christopher Wayne Schutter 2017 California Polytechnic State University, San Luis Obispo

Silent Communication Device, Christopher Wayne Schutter

Master's Theses

Oral communication has constituted as a necessary aspect of how people interact with one another, but there are always situations where this form of communication can create distractions, irritation, or even danger. Take for example, a student in a laboratory who needs to communicate effectively with a lab partner without creating a distraction to those trying to work around said student or a soldier on a battlefield who needs to relay information effectively to his or her comrades without revealing his or her position to the enemy. It becomes apparent that people need a more exclusive form of communication in …


On The Development Of A One-Time Pad Generator For Personalising Cloud Security, Paul Tobin, Lee Tobin, Michael McKeever, Jonathan Blackledge 2017 Technological University Dublin

On The Development Of A One-Time Pad Generator For Personalising Cloud Security, Paul Tobin, Lee Tobin, Michael Mckeever, Jonathan Blackledge

Conference papers

Cloud computing security issues are being reported in newspapers, television, and on the Internet, on a daily basis. Furthermore, in 2013, Edward Snowden alleged backdoors were placed in a number of encryption systems by the National Security Agency causing confidence in public encryption to drop even further. Our solution allows the end-user to add a layer of unbreakable security by encrypting the data locally with a random number generator prior to uploading data to the Cloud. The prototype one-time pad generator is impervious to cryptanalysis because it generates unbreakable random binary sequences from chaos sources initiated from a natural noise. …


Energy Management System Modeling Of Dc Data Center With Hybrid Energy Sources Using Neural Network, Khalid Althomali 2017 California Polytechnic State University, San Luis Obispo

Energy Management System Modeling Of Dc Data Center With Hybrid Energy Sources Using Neural Network, Khalid Althomali

Master's Theses

As data centers continue to grow rapidly, engineers will face the greater challenge in finding ways to minimize the cost of powering data centers while improving their reliability. The continuing growth of renewable energy sources such as photovoltaics (PV) system presents an opportunity to reduce the long-term energy cost of data centers and to enhance reliability when used with utility AC power and energy storage. However, the inter-temporal and the intermittency nature of solar energy makes it necessary for the proper coordination and management of these energy sources.

This thesis proposes an energy management system in DC data center using …


Design Of A Community-Supported Capable Microwave System For People With Intellectual And Physical Disabilities, Matteo Zallio, Damon Berry, Paula Kelly, Hicham Rifai, Modestas Jakuska 2017 Technological University Dublin

Design Of A Community-Supported Capable Microwave System For People With Intellectual And Physical Disabilities, Matteo Zallio, Damon Berry, Paula Kelly, Hicham Rifai, Modestas Jakuska

Conference papers

Product personalisation has become a central topic and expected part of every day life. Different people have different characteristics and abilities and every single user has different needs which means that products have to be tailored accordingly. Micro- wave ovens are one of the most commonly used home appliances. People use them to quickly heat or cook certain foods. Today, according to the US Bureau of Labor Statis- tics, more than 90% of U.S. households own a microwave oven [11]. This project seeks to enable people with intellectual disabilities and physical impairments to perform sim- ple cooking tasks. The target …


Sparsity Based Methods For Target Localization In Multi-Sensor Radar, Haley H. Kim 2017 New Jersey Institute of Technology

Sparsity Based Methods For Target Localization In Multi-Sensor Radar, Haley H. Kim

Dissertations

In this dissertation, several sparsity-based methods for ground moving target indicator (GMTI) radar with multiple-input multiple-output (MIMO) random arrays are proposed. MIMO random arrays are large arrays that employ multiple transmitters and receivers, the positions of the transmitters and the receivers are randomly chosen. Since the resolution of the array depends on the size of the array, MIMO random arrays obtain a high resolution. However, since the positions of the sensors are randomly chosen, the array suffers from large sidelobes which may lead to an increased false alarm probability. The number of sensors of a MIMO random array required to …


Field-Induced Formation And Growth Of Pillars On Films Of Bisphenol-A-Polycarbonate, Yu-Fan Chuang, Jyun-siang Peng, Fuqian Yang, Donyau Chiang, Sanboh Lee 2017 National Tsing Hua University, Taiwan

Field-Induced Formation And Growth Of Pillars On Films Of Bisphenol-A-Polycarbonate, Yu-Fan Chuang, Jyun-Siang Peng, Fuqian Yang, Donyau Chiang, Sanboh Lee

Chemical and Materials Engineering Faculty Publications

An electric field is used to construct pillars on films of bisphenol-A-polycarbonate (BPAPC) between two parallel electrodes. Both the size and density of the pillars are dependent on the film thickness. For the same experimental conditions, thicker films will lead to the formation of pillars of larger sizes and smaller densities. The time dependence of the average diameter of the pillars is found to be a linear function of the square root of the difference between the annealing time and incubation time. The temperature dependence of the temporal evolution of the pillars follows the Arrhenius relation with an activation enthalpy …


Ocean Renewable Power Company, James Donegan 2017 Ocean Renewable Power Company

Ocean Renewable Power Company, James Donegan

MARENER 2017

No abstract provided.


The Effect Of The Local Field And Dipole-Dipole Interactions On The Absorption Spectra Of Noble Metals And The Plasmon Resonance Of Their Nanoparticles, I.I. Shaganov, T.S. Perova, Kevin Berwick 2017 Vavilov State Optical Institute, 199034, St.-Petersburg, Russia

The Effect Of The Local Field And Dipole-Dipole Interactions On The Absorption Spectra Of Noble Metals And The Plasmon Resonance Of Their Nanoparticles, I.I. Shaganov, T.S. Perova, Kevin Berwick

Articles

An analysis of the effect of free and bound electrons on the optical properties of noble metals and their nanoparticles is performed, based on the Drude-Lorentz model. It is shown that the shifts in the absorption bands of plasmons localized in spherical nanoparticles with respect to the zero frequency of free electrons in a bulk metal can be estimated using the theory of resonant dipole-dipole interactions. The calculation includes account for differences between the effective and average electromagnetic fields. It is established that the difference in oscillator strength for free electrons in the bulk metal, obtained using the Drude-Lorentz model, …


Semantic Inference On Clinical Documents: Combining Machine Learning Algorithms With An Inference Engine For Effective Clinical Diagnosis And Treatment, Shuo Yang, Ran Wei, Jingzhi Guo, Lida Xu 2017 Old Dominion University

Semantic Inference On Clinical Documents: Combining Machine Learning Algorithms With An Inference Engine For Effective Clinical Diagnosis And Treatment, Shuo Yang, Ran Wei, Jingzhi Guo, Lida Xu

Information Technology & Decision Sciences Faculty Publications

Clinical practice calls for reliable diagnosis and optimized treatment. However, human errors in health care remain a severe issue even in industrialized countries. The application of clinical decision support systems (CDSS) casts light on this problem. However, given the great improvement in CDSS over the past several years, challenges to their wide-scale application are still present, including: 1) decision making of CDSS is complicated by the complexity of the data regarding human physiology and pathology, which could render the whole process more time-consuming by loading big data related to patients; and 2) information incompatibility among different health information systems (HIS) …


Qos Recommendation In Cloud Services, Xianrong Zheng, Li Da Xu, Sheng Chai 2017 Old Dominion University

Qos Recommendation In Cloud Services, Xianrong Zheng, Li Da Xu, Sheng Chai

Information Technology & Decision Sciences Faculty Publications

As cloud computing becomes increasingly popular, cloud providers compete to offer the same or similar services over the Internet. Quality of service (QoS), which describes how well a service is performed, is an important differentiator among functionally equivalent services. It can help a firm to satisfy and win its customers. As a result, how to assist cloud providers to promote their services and cloud consumers to identify services that meet their QoS requirements becomes an important problem. In this paper, we argue for QoS-based cloud service recommendation, and propose a collaborative filtering approach using the Spearman coefficient to recommend cloud …


Ldmos Power Transistor Design And Evaluation Using 2d And 3d Device Simulation, Aiman Salih 2017 University of Central Florida

Ldmos Power Transistor Design And Evaluation Using 2d And 3d Device Simulation, Aiman Salih

Electronic Theses and Dissertations

The benefit of the super-junction (SJ) technique and the use of a floating P layer for low voltage (30 V) laterally double-diffused metal oxide semiconductor (LDMOS) transistors are investigated in this thesis using Sentaurus TCAD simulation software. Optimizations to the SJ LDMOS were attempted such as adding a buffer layer to the device, but simulation and theoretical evidence point out that the benefits of the SJ technique are marginal at the 30 V application. A replacement for the SJ technique was sought, the floating P structure proved to be a good solution at the low voltage range due to its …


Optimization Of Neural Network Architecture For Classification Of Radar Jamming Fm Signals, Alberto Soto 2017 University of Texas at El Paso

Optimization Of Neural Network Architecture For Classification Of Radar Jamming Fm Signals, Alberto Soto

Open Access Theses & Dissertations

Radar jamming signal classification is valuable when situational awareness of radar systems is sought out for timely deployment of electronic support measures. Our Thesis shows that artificial neural networks can be utilized for effective and efficient signal classification. The goal is to optimize an artificial Neural Network (NN) approach capable of distinguishing between two common radar waveforms, namely bandlimited white Gaussian jamming noise (BWGN) and the ubiquitous linearly frequency modulated (LFM) signal. This is made possible by creating a theoretical framework for NN architecture testing that leads to a high probability of detection (PD) and a low probability of false …


A Tree-Based Collision Resolution Algorithm For Rfid Using Bayesian Tag Estimation, Sanika Krishnamali Wijayasekara 2017 Faculty of Engineering

A Tree-Based Collision Resolution Algorithm For Rfid Using Bayesian Tag Estimation, Sanika Krishnamali Wijayasekara

Chulalongkorn University Theses and Dissertations (Chula ETD)

Radio Frequency IDentification (RFID) is a promising wireless object identifying technology which uses radio frequency waves to transmit data between an RFID reader and tags. The RFID systems have been effectively applied in different areas, like manufacturing, healthcare, supply chain, transportation and agriculture. Despite the vast deployment of the RFID technology in practice, the inherent RFID tag collision problem still persists as a serious concern and remains a challenge. The tag collision problem happens when some tags in reader's vicinity try to transmit data to a reader simultaneously without priori coordination. The existing RFID Electronic Product Code (EPC) Class 1 …


Maximizing Cache Value For Distributing Content Via Small Cells In 5g, Ibrahim Khalaf Freewan 2017 University of Mississippi

Maximizing Cache Value For Distributing Content Via Small Cells In 5g, Ibrahim Khalaf Freewan

Electronic Theses and Dissertations

The objective of this thesis is to develop an algorithm for distributing content at small cells in 5G, wherein small cells (SCs) are set up instead of macro cells to serve mobile users. Users may simultaneously access between one and some maximum number of SCs, the actual number of SCs being drawn from a distribution. The source library is located away from these sites, and it stores files as a collection of RaptorQ-encoded symbols. By using RaptorQ symbols a very large number of distinct encoding symbols can be generated and a collection of received encoded symbols slightly larger than the …


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