289 research outputs found
A Lissajous based technique for fault detection and faulty phase identification in transmission line
This study presents a technique for fault detection and faulty phase identification in transmission lines based on the change in the Lissajous pattern. Lissajous figure reveals distinct pattern during faults and can discriminate the faulty condition from the normal operating condition of the line. Fault Index has been calculated considering a quarter cycle moving window and Euclidean norm. Faults can be detected and classified within half cycle from the inception of fault and accurate results have been obtained for fault resistance upto 50 ohms. The ten types of faults have been simulated throughout the length of the transmission line and a threshold value offault index has been considered for fault discrimination. It has been observed that the fault indices of the faulty phases rise above the threshold value within half cycle of fault inception
IBPP Research Associates: Namibia/Turkey
This article - The Globalization of Old Age, by Serdan Sayan - was posted on the January 9, 2003 issue of The Namibian (Namibia). It has not been posted in Scholarly Commons due to copyright restrictions. Though a subscription for full access to the article is required, partial access to the article is available online in the archives of Project Syndicate.
The article discusses wealth inequality and the aging, or graying, of the world\u27s richest nations and the subsequent possible global impact of this demographic reality.
The author is Vice-Chairman and Director of Graduate Studies, Department of Economics, Bilkent University, Ankara, Turkey
PENERAPAN KONSEP COMFORT OF HUMAN CIRCULATION DAN ARSITEKTUR NEO VERNAKULAR PADA REDESAIN PASAR TRADISIONAL DESA SAYAN
Traditional markets are places where buying and selling transactions take place between traders and buyers by implementing a bargaining system that is characteristic of traditional markets. Many people depend on the existence of traditional markets. Especially for lower middle class people. Sayan Village Traditional Market, Ubud District, Gianyar Regency is a location for trading daily necessities such as fruit, vegetables, meat, prayer tools, and others. The problems faced by this market are unhygienic market conditions and the appearance of slums, buildings and spatial layout. Sayan Market experiences an inadequate and disorganized condition, with a number of areas not being utilized optimally, such as chaotic parking and kiosk facilities and main market stalls that are neglected and not well maintained. This can cause people to feel uncomfortable, and people prefer modern markets that prioritize cleanliness. The research method used by the author to prepare this research is a qualitative method in the form of literature study, observation, documentation and interviews. Based on the existing problems, it is necessary to redesign the Traditional Market in Sayan Village, Ubud District, Gianyar Regency so that it can accommodate functions well packaged in a new, clean, comfortable market appearance and pay attention to more optimal circulatio
Moss occurrences in Salair-Kuznetsk Region (Altai-Sayan mountain country)
In the flora of large regions, mosses comprise about a quarter of the total diversity of higher plants. However, now mosses are the least studied group of higher plants. Data on moss species distribution are fragmentary, especially in Russia with its vast expanse and low density of botanists.The author for many years has been studying the bryoflora of various areas of the Salair-Kuznetsk Region. In addition to the herbarium collection, the author's bryological relevés were organised as a Database. It stores all the assembled information for the years about the locations of the species, including when the specimens were not placed in the herbarium.The article describes three datasets that were arranged from the author's databases for three geomorphological units in the northwest of Altai-Sayan mountain country (South Siberia). Together, these three units are combined into the Salair-Kuznetsk Region. The datasets are:1. Moss occurrences in the Kuznetsk upland.The dataset consists of 3940 occurrence records and includes both preserved specimens (1135) and ‘human observations’ of the author (2805). The material was collected mainly from 1992-2011; some samples collected by A. N. Vasiliev in 1970-1971 (165) were also taken into account. A total of 312 moss taxa belonging to 135 genera and 41 families are reported for the region.2. Moss occurrences in Salair Ridge.The dataset consists of 2442 occurrence records and includes both preserved specimens (553) and ‘human observations’ of the author (1889). The material was collected mainly from 1992-1996; a total of 231 moss taxa belonging to 119 genera and 35 families are reported for the region.3. Moss occurrences in Kuznetsk Depression.The dataset consists of 1690 occurrence records and includes both preserved specimens (281) and ‘human observations’ of the author (1409). The material was collected mainly from 2007-2014; a total of 155 moss taxa belonging to 85 genera and 30 families are reported for the region.All the records are geo-linked. The uncertainty of coordinates in metres varies from 500.0-10000.0 m for the earliest records that are geo-linked by topo-map, to 10.0-100.0 m for records after 2003 that are geo-linked by GPS.The article summarises the results of the author's long-term bryological investigations in the Salair-Kuznetsk Region (northwest of Altai-Sayan mountain country, South Siberia).In total, 8072 occurrence records for 366 moss species from 148 genera and 41 families are published for the territory. The datasets contribute to filling gaps in the moss species distribution and ecology
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Feyda Sayan-Cengiz , Beyond Headscarf Culture in Turkey's Retail Sector (New York: Palgrave-Macmillan, 206). Pp. 192. $95.00 cloth. ISBN: 9781137546944
Feyda Sayan-Cengiz’s first ethnography examines lower-class, headscarf-wearing women who work in the private sector and their precarity at work through the politics of visibility, class, and gender. The author takes issues with what she calls “culturalist lenses” that often carelessly divide women as either Islamist or secularist based on their headscarf (or lack of it). In Sayan Cengiz’s argument, such a lens not only fails to reflect the fluidity and diversity she witnesses in Turkish social life, but does so “at the expense of folding issues of social inequality into cultural difference-based social stratification” (p. 3).
The scholarly discussion on the headscarf in Turkey is dominated by questions about Islamic revivalism in the 1990s, and how, during this period, religious women started demanding modern and Western values and access to spaces such as universities and the political arenas. This
literature, often unavoidably, furthered the (mis)understanding that Islamic visibility (headscarf) is the immediate indicator of religiosity, Muslimhood, or Islamism. However, Sayan-Cengiz’s work ethnographically demonstrates how complex the picture is for many women, especially those from the lower class
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Robust and Efficient Neural Inertial Localization and Complex Activity Recognition
Inertial complex activity recognition and neural inertial navigation are challenging due to missing samples, misaligned data timestamps across sensor channels, variations in sampling rates and high model deployment costs. In this thesis, we introduce a robust training pipeline for complex activity detection that handles sampling rate variability, missing data, and misaligned data timestamps using intelligent data augmentation techniques. Specifically, we use controlled jitter in window length and add artificial misalignments in data timestamps between sensors, along with masking representations of missing data. In addition, we exploit end-to-end sequential learning, alpha-beta filters, Madgwick filters, hardware and quantization-aware Bayesian neural architecture search and a temporal convolutional neural network backbone to form the basis of scalable, real-time and sub-meter GPS-free inertial localization on wide spectrum of target resource-constrained hardware. We also provide a compact, ultra-low-power, environmentally resilient and modular sensor tag configuration that pushes the state-of-the-art in inertial odometry hardware. On average, the network found via our efficient pipeline provided 3x peak activation and 6x memory savings over the state-of-the-art neural inertial algorithms and taking at most 24 hours to train and search pareto-optimal models in the backbone search space. Moreover, we evaluate the complex activity pipeline on state-of-the-art complex activity recognition dataset, achieving test accuracies of 88% and 72% respectively for coarse and granular-activity classification while ranking 3rd in the 2020 Cooking Activity Recognition Challenge out of 78 submissions
JavaScript Implementation of Homomorphic Encryption for Web Applications
Encryption techniques allow storing and transferring of sensitive information securely by using encryption at rest and encryption in transit, respectively. However, when computation is performed on these sensitive data, the data needs to be decrypted first and encrypted again after performing the computations. During the computations, the sensitive data becomes vulnerable to attackers as it's in decrypted form. Homomorphic encryption, a special type of encryption technique that allows computation on encrypted data can be used to solve the above-mentioned problem. The best way to achieve maximum security with homomorphic encryption is to perform at least the homomorphic encryption and decryption on the client side (browser) of a web application by not trusting the server. At present time there are many libraries with different homomorphic schemes available for homomorphic encryption. However, there are very few to no JavaScript libraries available to perform homomorphic encryption on the client side of any web application. This thesis mainly focuses on the JavaScript implementation of client-side homomorphic encryption. The fully homomorphic encryption scheme BFV is selected for the implementation. After implementing the fully homomorphic encryption scheme based on the “py-fhe” library, tests are also carried out in order to determine the applicability (in terms of time consumption, security and correctness) of this implementation in a web application by comparing the performance and security for different test cases and different settings
Third EuCAPT Annual Symposium
The weak gravitation lensing of the Cosmic Microwave Background
(CMB) [1] rows a wealth of information about the late-time universe in the
CMB data we observe through ground-based and space-based telescopes.
In this talk, I propose a method to probe Galaxy-cluster mass profiles
from the lensing signature of CMB in arcmin scales. In the first part, I
describe how a theoretical halo model [2] for a cluster gives rise to lensing
signatures in the observed CMB. In the second part, I discuss how we are
developing a method based on Maximum a posterior (MAP) estimator [3]
of lensing potential to recover the cluster mass. Such an estimator will be
influential in light of low noise level experiments like CMB S4.
References
[1] A. Lewis and A. Challinor, Weak gravitational lensing of the CMB, Phys.
Rept. 429 (2006) 1 [astro-ph/0601594].
[2] J.F. Navarro, C.S. Frenk and S.D.M. White, The Structure of cold dark
matter halos, Astrophys. J. 462 (1996) 563 [astro-ph/9508025].
[3] J. Carron and A. Lewis, Maximum a posteriori CMB lensing
reconstruction, Phys. Rev. D 96 (2017) 063510 [1704.08230]
Design, Synthesis and Bio-evaluation of Anticancer Ruthenium(II) Complexes with Applications in Photoactivated Chemotherapy and Chemotherapy
The serendipitous discovery of cisplatin marks a milestone achievement in the field of medicinal inorganic chemistry and spearheaded the development of anticancer metallotherapeutics. Ruthenium (Ru) compounds hold great promise as a potential alternative to platinum (Pt) drugs with improved therapeutic efficacy and different anticancer mechanisms in addition to reduced dose-limiting side-effects. Several Ru metallodrugs are being investigated in clinical trials for their potential to treat cancer malignancies and to stop solid tumor metastasis. Photodynamic therapy (PDT) is an alternative to traditional cancer chemotherapy with more localizing in action. In this modality, a photosensitizer is irradiated with visible light to generate toxic singlet oxygen ( 1O2) inside the cellular environment leading to irreversible cell death. To circumvent the oxygen dependence, a new promising field of therapeutics is under development referred to as photoactivated chemotherapy (PCT) in which a pro-drug, when irradiated with light, induces cytotoxic behavior by releasing caged toxins. Ru(II) complexes that exhibit visible light accessible excited states are increasingly being pursued as photocaging motifs in PCT. In an effort to expand the Ru(II) photocage architecture, a new class of partially solvated dinuclear Ru(II) complexes was developed in which two metal centers are bridged by pyrazine and quinoxaline-based ligands which enhance their absorption in the lower energies of the visible spectrum and near-infrared region which is in the therapeutic window (600-900 nm) for applications as PCT agents. The bridged compounds exhibit moderate photodissociation ability but no phototoxicity properties were detected with visible light irradiation, a fact attributed to high positive charge (+4) and low solubility in the media. To reduce overall positive charge and improve photodissociation, a mononuclear Ru(II) photocage architecture with an unusual bidentate coordination mode of 6-phenyl-2,2��-bipyridine (pbpy) ligand was explored wherein the phenyl ring is directed towards the Ru center to exert steric strain thus enhancing caged ligand dissociation upon irradiation. In fact, this coordination motif generates enough steric congestion to facilitate the dissociation of the caged ligand even in absence of light and as a consequence, is able to covalently bind to DNA and potentially damage the DNA helical structure at higher concentrations.
Finally, to investigate the enhancement of cytotoxic behavior due to cyclometallation, a new series of organometallic Ru(II) compounds was developed with the pbpy ligand and their lipophilicities carefully tuned by choosing suitable ancillary ligand environments that immensely alter their anticancer efficacy. All four compounds are highly toxic against human lung adenocarcinoma (A549) cells with sub-micromolar LC50 values and induce apoptosis via the mitochondrial dysfunctional pathway to trigger programmed cell death upon activation of caspase3/7. It was discovered that intracellular ROS generation partially facilitates cell death through ROS mediated apoptosis. Overall, the research reported in this dissertation constitutes the successful establishment of new avenues into Ru-based anticancer drug design for potential applications in PCT and chemotherapy
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Cost effective high efficiency solar cells
textTo make solar energy mainstream, lower-cost and more efficient power generation is key. A lot of effort in the silicon photovoltaic industry has gone into using fewer raw materials (i.e., silicon) and using more inexpensive processing techniques and materials to reduce cost. Utilizing thinner substrates not only reduces cost, but improves cell efficiency provided both front and back surfaces are well-passivated. In the current work, a kerf-less process is developed in which ultra-thin (~25 [mu]m), flexible mono-crystalline silicon substrates can be obtained through an exfoliation technique from a thicker parent wafer. These substrates, when exfoliated, have thick metal backing which provides mechanical support to the thin silicon and enables ease of processing of the substrates for device fabrication. Optical, electrical, and reliability characterization studies for completed cells show this technology’s compatibility with a heterojunction solar cell process flow. Building on the promising results achieved on exfoliated substrates, further optimization work was carried out. Namely, an improved cleaning process was developed to remove front surface contamination on textured surfaces of exfoliated, flexible mono-crystalline silicon. This process is very effective at cleaning metallic and organic residues, without introducing additional contamination or degrading the supporting back metal used for ultra-thin substrate handling. Spectroscopic studies were performed to qualitatively and quantitatively understand the efficacy of different cleaning procedures in order to develop the new cleaning process. Results of the spectroscopic studies were further supported by comparing the electrical performance of cells fabricated with different cleans. To replace silver as contact metal with a cheaper substitute like nickel or copper, patterning and etching processes are generally used. A low-cost alternative is proposed, where a reusable shadow mask with a metal grid pattern is kept in contact with the surface of the substrate in a plasma-enhanced chemical vapor deposition chamber during silicon nitride deposition. This leaves a patterned silicon surface for selective metal growth by direct electro-deposition. The viability of this process flow is demonstrated by fabricating diffused junction n[superscript+]pp[superscript+] monofacial and bifacial cells and electrically characterizing them. Investigation of the factors limiting the efficiency of the cells was carried out by lifetime measurement experiments.Electrical and Computer Engineerin
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