scholarly journals Strategi Komunikasi Radio Fajri 993 FM Bogor dalam Mempertahankan Citra Radio Dakwah

Al-MUNZIR ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 135
Author(s):  
Neisya Sabilah ◽  
Armawati Arbi
Keyword(s):  
Current Image

AbstrakRadio Islam atau radio dakwah biasanya termasuk radio komunitas dan jaringan AM, akan tetapi, radio Fajri 99,3  masuk pada jaringan FM di Bogor, radionya dapat bertahan dengan program Islamnya sebagai radio komersil. Fajri radio terus mengembangkan ITC (information Tehnology, and communication) menjaga identitas radionya sebagai radio dakwah.Bagaimana ia tetap eksis  menjadi radio dakwah tanpa program musik? Teori konstruksi sosial media massa atas realitas sosial menjawab bagaimana mengcnstruksi sebuah program melalui tiga proses yakni eksternalisasi, objektivasi, dan internalisasi untuk menyebar informasi, yang disebut current image. Penelitian ini menggunakan metode kualitatif dengan paradigma konstruktivisme. Hasil penelitian ditemukan 1) Tahap esternalisasi adalah menerapkan identitas media melalui  ekspresi ide,fakta,dan referensi sebagai strategi komunikasi Framing Radio Fajri 99,3 FM Bogor, 2) Tahap objektivasi dikemas 7 program live dan 32 program tapping melalui berbagai metode dakwah dan komunikasi. Kekuatan kata dan bahasa pada program tersebutditerapkan strategi signing, dan 3) Tahap internalisasi, radio Fajri FM memodifikasi program on air maupun kegiatan off airnya berupa kajian bulanan, publikasi, dan temu pendengar Fajri.Kata-kata Kunci: Strategi komunikasi, radio,Konstruksi Sosial Media Massa, current image. 

Application of AFP Nanoprobing Light-Induced Photovoltaic Current in the Failure Analysis

2017 ◽  
Author(s):  
C.Q. Chen ◽  
P.T. Ng ◽  
G.B. Ang ◽  
Francis Rivai ◽  
S.L. Ting ◽  
...  
Keyword(s):  
Image Analysis ◽  
Failure Analysis ◽  
Photovoltaic Effect ◽  
Electrical Characterization ◽  
Fault Isolation ◽  
Device Performance ◽  
Semiconductor Technology ◽  
Current Image ◽  
Scaling Down ◽  
Detailed Circuit

Abstract As semiconductor technology keeps scaling down, failure analysis and device characterizations become more and more challenging. Global fault isolation without detailed circuit information comprises the majority of foundry EFA cases. Certain suspected areas can be isolated, but further narrow-down of transistor and device performance is very important with regards to process monitoring and failure analysis. A nanoprobing methodology is widely applied in advanced failure analysis, especially during device level electrical characterization. It is useful to verify device performance and to prove the problematic structure electrically. But sometimes the EFA spot coverage is too big to do nanoprobing analysis. Then further narrow-down is quite critical to identify the suspected structure before nanoprobing is employed. That means there is a gap between global fault isolation and localized device analysis. Under these kinds of situation, PVC and AFP current image are offen options to identify the suspected structure, but they still have their limitation for many soft defect or marginal fails. As in this case, PVC and AFP current image failed to identify the defect in the spot range. To overcome the shortage of PVC and AFP current image analysis, laser was innovatively applied in our current image analysis in this paper. As is known to all, proper wavelength laser can induce the photovoltaic effect in the device. The photovoltaic effect induced photo current can bring with it some information of the device. If this kind of information was properly interpreted, it can give us some clue of the device performance.

Photopoetics: Sisyphus Outdone, the Apostrophal Subject and the Elusive Image

2020 ◽  
Vol 4 (1) ◽  
pp. 84-95
Author(s):  
Esther Sánchez-Pardo
Keyword(s):  
Catastrophe Theory ◽  
Albert Camus ◽  
Current Image ◽  
Difficult Condition ◽  
The Subject ◽  
The Individual

AbstractIn Sisyphus Outdone (2012), Nathanaël’s particular tribute to Albert Camus’ The Myth of Sisyphus (1942), the reader faces a challenging hybrid text in which the verbal and visual dimensions intermingle to produce an idiosyncratic type of narrative. Fragmentary, elliptical, a web of quotations, dictums, and meditations on the difficult condition of the individual in the current image-saturated scenario of the first decades of the 21st century, the text manages to propose a rigorous reflection upon crucial aspects of representation from History and temporality, to the Subject now, photography, catastrophe theory, architecture, failure and translation, among the most salient. Sisyphus, I suggest, exhibits a strategic photopoetics which operates as a self-reflective mechanism contributing to the persistence of an impermanent liminal subject and to the (re)production of textuality and the proliferation of voices against silence.

scholarly journals Hybrid Image Encryption Technique Using Genetic Algorithm and Lorenz Chaotic System

2020 ◽  
Vol 32 ◽  
pp. 03009
Author(s):  
Vishwanath Chikkareddi ◽  
Anurag Ghosh ◽  
Preksha Jagtap ◽  
Sahil Joshi ◽  
Jeel Kanzaria
Keyword(s):  
Genetic Algorithm ◽  
Image Encryption ◽  
Chaotic System ◽  
Random Number ◽  
Current Image ◽  
Space Efficiency ◽  
Highly Sensitive ◽  
Key Sensitivity ◽  
Lorenz Chaotic System ◽  
Time And Space Complexity

One of the important application of image encryption is storing confidential and important images on a local device or a database in such a way that only the authorized party can view or perceive it. The current image encryption technique employs the genetic algorithm to increase confusion in the image, but compromises in time and space complexity. The other method employs chaos or pseudo random number generating systems which have fast and highly sensitive keys but fails to make the image sufficiently noisy and is risky due to its deterministic nature. We propose a technique which employs the non-deterministic, optimizing power of genetic algorithm and the space efficiency and key sensitivity of chaotic systems into a unified, efficient algorithm which will retain the merits of both the methods whereas tries to minimize their demerits in a software system. The encryption process proceeds in two steps, generating two keys. First, an encryption sequence is generated using Lorenz Chaotic system of differential equation. The seed values used are the user’s actual key having key sensitivity of 10-14. Second, the encrypted image’s genetic encryption sequence is generated which will result in an encrypted image with entropy value greater than 7.999 thus ensuring the image is very noisy. Proposed technique uses variations of Lorenz system seed sets to generate all random mutations and candidate solutions in Genetic encryption. Since only the seed sets leading to desired solution is stored, space efficiency is higher compared to storing the entire sequences. Using this image encryption technique we will ensure that the images are hidden securely under two layers of security, one chaotic and other non-deterministic.

Algorithm of Color Detection for Moving Video Objects Based on Mode Matching

2012 ◽  
Vol 239-240 ◽  
pp. 1000-1003
Author(s):  
Zhao Quan Cai ◽  
Hui Hu ◽  
Tao Xu ◽  
Wei Luo ◽  
Yi Cheng He
Keyword(s):  
Background Subtraction ◽  
Moving Objects ◽  
Color Matching ◽  
Human Beings ◽  
Current Image ◽  
Color Recognition ◽  
Recognition Ability ◽  
Color Identification ◽  
The Difference ◽  
Background Image

It is urgent to study how to effectively identify color of moving objects from the video in the information era. In this paper, we present the color identification methods for moving objects on fixed camera. One kind of the methods is background subtraction that recognizes the foreground objects by compare the difference of pixel luminance between the current image and the background image at the same coordinates. Another kind is based on the statistics of HSV color and color matching which makes the detection more similar to the color identification of the human beings. According to the experiment results, after the completion of the background modelling, our algorithm of background subtraction, statistics of the HSV color and the color matching have strong color recognition ability on the moving objects of video.

scholarly journals The Daily Image Information Needs and Seeking Behavior of Chinese Undergraduate Students

2013 ◽  
Vol 74 (3) ◽  
pp. 243-261 ◽  
Author(s):  
Kun Huang ◽  
Diane Kelly
Keyword(s):  
Undergraduate Students ◽  
Information Literacy ◽  
Academic Libraries ◽  
Information Needs ◽  
Image Search ◽  
University Libraries ◽  
Current Image ◽  
Image Information ◽  
Seeking Behavior ◽  
Normal University

A survey was conducted at Beijing Normal University to explore subjects’ motives for image seeking; the image types they need; how and where they seek images; and the difficulties they encounter. The survey also explored subjects’ attitudes toward current image services and their perceptions of how university libraries might provide assistance. Based on the findings, this article summarizes the features of Chinese undergraduate students’ daily image needs and their information behavior related to images. The findings reveal the need to improve the image services offered by academic libraries and strengthen undergraduates’ information literacy with respect to image search and use.

Current image diffraction (CID) of single crystal metal surfaces

1983 ◽  
Vol 1 (2) ◽  
pp. 1130-1133 ◽  
Author(s):  
C. B. Bargeron ◽  
B. H. Nall ◽  
A. N. Jette
Keyword(s):  
Single Crystal ◽  
Metal Surfaces ◽  
Current Image

scholarly journals A study on the current image of shyness

2012 ◽  
Vol 76 (0) ◽  
pp. 1PMD06-1PMD06
Author(s):  
Tsutomu FUJII ◽  
Takafumi SAWAUMI ◽  
Atsushi AIKAWA
Keyword(s):  
Current Image

scholarly journals What the Machine Saw: some questions on the ethics of computer vision and machine learning to investigate human remains trafficking

2019 ◽  
Author(s):  
Damien Huffer ◽  
Cristina Wood ◽  
Shawn Graham
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
New Technology ◽  
Human Remains ◽  
Moral Dilemmas ◽  
Cultural Property ◽  
False Negatives ◽  
Current Image ◽  
Ongoing Effort ◽  
Initial Research

This article represents the next step in our ongoing effort to understand the online human remains trade, how, why and where it exists on social media. It expands upon initial research to explore the 'rhetoric' and structure behind the use and manipulation of images and text by this collecting community, topics explored using Google Inception v.3, TensorFlow, etc. (Huffer and Graham 2017; 2018). This current research goes beyond that work to address the ethical and moral dilemmas that can confound the use of new technology to classify and sort thousands of images. The categories used to 'train' the machine are self-determined by the researchers, but to what extent can current image classifying methods be broken to create false positives or false negatives when attempting to classify images taken from social media sales records as either old authentic items or recent forgeries made using remains sourced from unknown locations? What potential do they have to be exploited by dealers or forgers as a way to 'authenticate the market'? Analysing the data obtained when 'scraping' image or text relevant to cultural property trafficking of any kind involves the use of machine learning and neural network analysis, the ethics of which are themselves complicated. Here, we discuss these issues around two case studies; the ongoing repatriation case of Abraham Ulrikab, and an example of what it looks like when the classifier is deliberately broken.

THE TRANSFORMATION OF THE IMAGE OF NURSULTAN NAZARBAYEV ON THE PAGES OF “THE NEW YORK TIMES” (1989-2001)

2020 ◽  
Vol 3 (1) ◽  
pp. 71-86
Author(s):  
Stanislav ALEXANDROV ◽  
Keyword(s):  
New York ◽  
New York Times ◽  
The United States ◽  
Current Image ◽  
The New York Times ◽  
White House ◽  
Corrupt Politician ◽  
Central Asian ◽  
Soviet Space ◽  
Post Soviet Space

The purpose of the research. In accordance with the problem-chronological approach, the article systematized the materials of “The New York Times” newspaper about Nursultan Nazarbayev in the period during 1989-2001. Despite the membership of the Communist Party from 1962-1991, the condemnation of the collapse of the USSR, the promotion of the idea of new economic and political integration in the post-Soviet space, the President of Kazakhstan was portrayed on the pages of “The New York Times” as a progressive independent pro-American politician. Nevertheless, by the end of the second half of the 1990-s there were dramatic changes in the current image, the Kazakh leader began to associate with an autocrat and a corrupt official. This work is aimed at finding the reasons for the transformation of the image of the Kazakh politician. Results. The study concluded that the reason for the transformation of the image of the President of Kazakhstan was the deterioration of relations with official Washington. The favorable image of Nursultan Nazarbayev in “The New York Times” was an indicator not only of the benevolent attitude of newspaper journalists, but also of US loyalty. During the period of partnership with the White House, the image of politician Nursultan Nazarbayev remained pleasant for readers of the New York newspaper. In the late 1980s and the first half of the 1990s. Washington was favorable to Nursultan Nazarbayev, since the president’s policy satisfied the United States: defending independence, switching to a market economy, renouncing nuclear weapons, and access to Kazakh oil. During this period, the negative features of the Kazakh leader were not displayed or smoothed out on the pages of the New York newspaper, while the strengths were intentionally emphasized. After the current American goals in the Central Asian republic were achieved, interest in the figure of Nursultan Nazarbayev began to fade. Over time, scandals related to Nursultan Nazarbayev began to be fully covered by journalists of “The New York Times”, changing the image of the president to an authoritarian and corrupt politician.

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