Query: semiconductor, political impact

Candidate papers:

abstract: We experimentally investigate delay based photonic reservoir computing using semiconductor lasers with optical feedback and injection. We apply different types of temporal mask signals, such as digital, chaos, and colored noise mask signals, as the weights between the input signal and the virtual nodes in the reservoir. We evaluate the performance of reservoir computing by using a time series prediction task for the different mask signals. The chaos mask signal shows superior performance than that of the digital mask signals. However, similar prediction errors can be achieved for the chaos and colored noise mask signals. Mask signals with larger amplitudes result in better performance for all mask signals in the range of the amplitude accessible in our experiment. The performance of reservoir computing is strongly dependent on the cut off frequency of the colored noise mask signals, which is related to the resonance of the relaxation oscillation frequency of the laser used as the reservoir.
author_names: Yoma Kuriki

Joma Nakayama

Kosuke Takano

Atsushi Uchida
title: Impact of input mask signals on delay based photonic reservoir computing with semiconductor lasers.
venue: Optics express
year: 2018

abstract: Abstract With the characteristics of high capital investment and complicated manufacturing processes, effectively planning and analyzing the available capacity is a crucial challenge in semiconductor industry. However, the fab management staffs usually believe that the ideal planned capacity, generated by static capacity planning approach, is too optimistic to achieve, in particular, many abnormal events (e.g. machine breakdown) occurring in fab are not reasonably considered. Therefore, this paper aims at proposing a capacity impact analysis (CIA) approach based on a reasonable capacity plan generated by an object oriented capacity planning simulation system. As such it analyzes the impact of the identified critical available time (AT) fluctuation of machines, the level of AT% and the loading of machine on overall capacity and output performance (e.g. wafer out, utilization, WIP) in a fab. The simulation experiment shows that a capacity performance is highly affected by the machines belonging to a single machine multiple layers (SM) machine group, and the level of AT% (i.e. not the AT fluctuation) Therefore, fab management staff should put more attention on the promised AT or increasing the level of AT% of the "key" machines to maintain a high throughput.
author_names: Li-Chih Wang

Pei-Chun Chu

Siying Lin
title: Impact of capacity fluctuation on throughput performance for semiconductor wafer fabrication
venue: Robotics and Computer Integrated Manufacturing
year: 2019

abstract: Wafer circuit probing (CP) testing is one of the most important processes for semiconductor manufacturing to ensure the wafers are of good quality. However, the outcomes of CP measurements are not always as good as expected. Engineers take lots of efforts to diagnose CP measurement and classify the features so that make the root cause more evident. In searching the root cause for low yield wafers, gathering the bad wafers and finding their correlation between yields and stages for each process is a common procedure to check whether the stage or the corresponding equipment is the one of the factors that lowers the yield significantly. A system was developed to realize the procedure that defines wafer status and points out the problems that make the yield lower. Once a wafer was inputted into this system, a diagnosis for the wafer will be made automatically. And hence this system was named auto commonality, which means grouping the bad wafers and finding the root cause then making decisions without any manpower.
author_names: Ji Fu Kung

Yung Chien Kung

Jing Pei Lin

Ming Wei Chen

Te Hsuan Chen

Hsiao Ying Yang

Pei Wen Chen
title: Mining Factors Impact Wafer Circuit Probing Via Neural Network and Statistics for Semiconductor Device Fabrication
venue: 2019 Joint International Symposium on e Manufacturing Design Collaboration(eMDC) Semiconductor Manufacturing (ISSM)
year: 2019

abstract: P ERCHED AS WE are on the crest of the current tech and computing enrollment boom, it is hard to remember the dark days of the early 2000s. The NASDAQ Index peaked on March 10, 2000, declining almost 80% over the next two years. The stock market crash in the U.S. caused the loss of $5 trillion in the market valuations from 2000 to 2002. Computing enrollments in North America went into a steep dive. At the same time, the Internet enabled the globalization of software production giving rise to the phenomenon of offshore outsourcing. There were daily stories in the media describing major shifts in employment that were occurring largely as a result of software off shoring. Combined with the dot com bust, these reports raised concerns about the future of information technology (IT) as a viable field of study and work in developed countries. In response to these concerns, ACM Council commissioned a Task Force in 2004 to " look at the facts behind the rapid globalization of IT and the migration of jobs resulting from out sourcing and offshoring. " The Task Force, co chaired by Frank Mayadas and myself, with the assistance of Wil liam Aspray as Editor, issued its report Globalization and Offshoring of Software in 2006. The report concluded that there is no real reason to believe that IT jobs are migrating away from developed countries. The passing decade has vindicated that conclusion. But while the report conceded that " trade gains may be distributed differentially " meaning some individuals gain and some lose, some localities gain and some lose; it was focused narrowly on the IT industry. Had we looked at the broader impact of globalization on the economy, we might have reached somewhat less sanguine conclusions. Globalization exerted tremendous competitive pressure on manufacturing in developed countries. It is instructive to examine the response to this competitive pressure, taking U.S. manufacturing as an example. To survive in the intensely competitive global economy, U.S. manufacturing had to increase its productivity dramatically, substituting technology for labor. U.S. manufacturing productivity roughly doubled between 1995 and 2015. As a result, while U.S. manufacturing output today is essentially at an all time high, employment peaked around 1980, and has been declining precipitously since 1995. Neoclassical economists argue that when technology destroys jobs " people find other jobs, albeit possibly after a long period of painful adjustment. " They are definitely right about the painful
author_names: Moshe Y Vardi
title: Globalization, computing, and their political impact
venue: Commun. ACM
year: 2016

abstract: The use of social media platforms in political campaigns has widely been studied. Many scholars have provided evidence about the impact of Twitter, Facebook and YouTube. So far; some of them have argued on the uselessness of these technologies about changing vote decisions, candidates' perception or political information efficacy. Most recently, the sentiment analysis has provided new paths to understand the link between the social media technology and voters. This paper analyzes data collected from Facebook's posts (4128 posts) and their emoticons love, hate, anger, likes, etc. that reveals some kind of sentiment from the users in a local government campaign in the central State of Mexico, which took place in June 2017. Findings show that political parties have a large impact with few posts, but in general, this paper reveals that voters' perception of candidates in Facebook is bad for the winner political party, since despite of this situation, the political party with the best sentiment impact, could not win the elections.
author_names: Rodrigo Sandoval-Almazan

David Valle Cruz
title: Facebook impact and sentiment analysis on political campaigns
venue: DG.O
year: 2018

abstract: Semiconductor manufacturing (fab) is a highly complex, cost intensive and competitive industry. For a fab, batch factor for furnace tools is a key fab performance metric for capacity and cycle time assessment. Batch production is one of the manufacturing methods where, a group of wafers can be processed together in a batch in a given timeframe. Furnace tools have the ability to batch the wafers together. In this paper, we propose to establish the relationship between batch factor and cycle time to calculate the optimal batch factor within the permissible limits of cycle time. Most furnace tools need to wait for the same kind of wafers to improve its batch factor. Thus, to achieve large batch factor, the cycle time of the WIP at these furnace tools inadvertently becomes high. This creates a need to know how high batch factor can increase without adversely affecting the cycle time and help in making optimized batching decisions.
author_names: Nivedha Rajasekaran

Vikram Arjunwadkar

Richard Man
title: Empirical Relationship between Cycle time Impact and Batching on Furnaces in Semiconductor Foundry
venue: 2020 31st Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)
year: 2020

abstract: Citizens' perception of politicians and political issues is increasingly influenced by social media. However, little is known about the potential of second order effects of social media in parts of the world where the majority of voting citizens are not online. In this paper, we examine whether a politician can move to communicating through social media as their primary means of outreach, and still present their message to the mainstream population through traditional media. By studying of the use of Twitter by Indian Prime Minister Narendra Modi between 2009 and 2015, the second most followed elected official in the world, we present evidence of the impact of social media on print news. We use computational text mining techniques to automatically identify print news reports that use Modi's tweets as a source, alongside manual qualitative coding of tweets to analyze the role of tweet themes in print news coverage. We conclude that while Modi's social media messaging does get coverage in the print news, it is his more "newsworthy" tweets, such as references to celebrities, other politicians, or major events such as holidays that have a greater likelihood of coverage.
author_names: Sunandan Chakraborty

Joyojeet Pal

Priyank Chandra

Daniel M Romero
title: Political Tweets and Mainstream News Impact in India: A Mixed Methods Investigation into Political Outreach
venue: COMPASS
year: 2018

abstract: We studied the topical preferences of social media campaigns of India's two main political parties by examining the tweets of 7382 politicians during the key phase of campaigning between Jan May of 2019 in the run up to the 2019 general election. First, we compare the use of self promotion and opponent attack, and their respective success online by categorizing 1208 most commonly used hashtags accordingly into the two categories. Second, we classify the tweets applying a qualitative typology to hashtags on the subjects of nationalism, corruption, religion and development. We find that the ruling BJP tended to promote itself over attacking the opposition whereas the main challenger INC was more likely to attack than promote itself. Moreover, while the INC gets more retweets on average, the BJP dominates Twitter's trends by flooding the online space with large numbers of tweets. We consider the implications of our findings hold for political communication strategies in democracies across the world.
author_names: Anmol Panda

Ramaravind Kommiya Mothilal

Monojit Choudhury

Kalika Bali

Joyojeet Pal
title: Topical Focus of Political Campaigns and its Impact: Findings from Politicians' Hashtag Use during the 2019 Indian Elections
venue: Proc. ACM Hum. Comput. Interact.
year: 2020

abstract: Integrating uses and gratifications theory and the cognitive/communication mediation model: this study examines Chinese students' use of social media and subsequent impact on political participation. An integrative framework is proposed where media use, political expression, and political cognitions (efficacy and knowledge) play important mediating roles between audience motivations and participation. Structural equation analyses showed support for the integrated model. Guidance and social utility motivations exhibited different indirect effects on online and offline participation through social media news, discussion, and political efficacy. Entertainment motivations exhibited no direct or indirect effects. Contrary to expectations and previous literature, surveillance motivations exhibited negative direct and indirect effects on offline participation, which may be attributed to the particular Chinese social and political context. Implications of the findings are discussed.
author_names: Zhuo Chen

Michael Chan
title: Motivations for Social Media Use and Impact on Political Participation in China: A Cognitive and Communication Mediation Approach
venue: Cyberpsychology Behav. Soc. Netw.
year: 2017

abstract: We consider the problem of managing output in semiconductor wafer fabrication facilities when a new product is introduced alongside a current product. We propose a mathematical model of the impact of the new product on the distribution of the effective processing time, and use a simple Excel simulation to illustrate the impact of different release control policies on output under product transitions.
author_names: Atchyuta Bharadwaj Manda

Reha Uzsoy

Karl G Kempf

Sukgon Kim
title: Modeling the impact of new product introduction on the output of semiconductor wafer fabrication facilities
venue: 2016 Winter Simulation Conference (WSC)
year: 2016