Liability for Trademark Infringment for Internet Service Providers

2010 ◽  
Author(s):  
Katja G. Weckstrom
Keyword(s):  
Service Providers ◽  
Internet Service Providers ◽  
Internet Service

Cyberpolitik

ADALAH ◽  
2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Munadhil Abdul Muqsith
Keyword(s):  
Political Communication ◽  
Total Population ◽  
Service Providers ◽  
Mailing List ◽  
The Internet ◽  
Internet Service Providers ◽  
Internet Service ◽  
Internet Users ◽  
Internet Media ◽  
First Time

Abstract:The internet developed for the first time in Indonesia in the early 1990s. Starting from the pagayuban network, it is now expanding without boundaries anywhere. A survey conducted by the Indonesian Internet Service Providers Association (APJII) said that the number of internet users in Indonesia in 2012 reached 63 million people or 24.23 percent of the country's total population. Next year, that figure is predicted to increase by close to 30 percent to 82 million users and continue to grow to 107 million in 2014 and 139 million or 50 percent of the total population in 2015. million people. This matter also results in political communication with the internet media, or is often said to be cyber politics. Cyber politics in Indonesia has faced growth in recent years. There are many facilities that support the growth of cyber politics, such as Facebook, Twitter, mailing list, YouTube, and others.Keywords: Cyberpolitik, Internet  Abstrak:Internet berkembang pertama kali di Indonesia pada awal tahun 1990-an. Diawali dari pagayuban network kini berkembang luas tanpa batas dimanapun juga. Suatu survei yang diselenggarakan Asosiasi Penyelenggara Jasa Internet Indonesia (APJII) mengatakan kalau jumlah pengguna internet di Indonesia tahun 2012 menggapai 63 juta orang ataupun 24,23 persen dari total populasi negeri ini. Tahun depan, angka itu diprediksi naik dekat 30 persen jadi 82 juta pengguna serta terus berkembang jadi 107 juta pada 2014 serta 139 juta ataupun 50 persen total populasi pada 2015. juta orang. Perihal ini pula berakibat pada komunikasi politik dengan media internet, ataupun kerap diucap dengan cyber politic. Cyber politic di Indonesia hadapi pertumbuhan sebagian tahun terakhir. Banyaknya fasilitas yang menunjang pertumbuhan cyber politic semacam terdapatnya facebook, Twitter, mailing list, youtobe, serta lain-lain.Kata Kunci: Cyberpolitik, Internet 

Analysis of the Importance Degree and Performance of Internet Service Providers in Makassar City

2019 ◽  
Vol 10 (2) ◽  
pp. 168-177
Author(s):  
Haerdiansyah Syahnur ◽  
Jafar Basalamah
Keyword(s):  
Customer Satisfaction ◽  
Gap Analysis ◽  
Service Providers ◽  
Customer Management ◽  
Quadrant Analysis ◽  
Internet Service Providers ◽  
Internet Service ◽  
Actual Performance ◽  
Satisfaction Index ◽  
Customer Satisfaction Index

This study aimed to analyze the customer experience seen from the level of actual performance and the level of importance of services provided by internet service providers PT. XYZ in Makassar City. Variables and attributes issued by TM Forum GB 912 consisting of Customer Management, Fulfillment, Assurance, and Billing, are used to analyze the performance provided by customer service in the field. The analysis technique will be carried out using the Importance Performance Analysis and Customer Satisfaction Index consisting of quadrant analysis and gap analysis used to investigate customer satisfaction and identify variables whose performance is deemed to need improvement. Data were collected using a platform-based questionnaire application from 100 respondents selected using random sampling techniques. The results showed that customers were satisfied with the performance and quality of services provided. The customer satisfaction index value obtained by CSI analysis shows a value of 82.006%. In conclusion, that the Fulfillment variable is a service variable that is considered the most important customer and requires improvement because its performance is still relatively low. While the variables considered good and need to be maintained are the Billing variable. Other service variables are sorted based on priority of improvement in a row, namely Fulfillment, Customer Management, and Assurance.

A netsemlegesség - definíciók, törvényhozói, tartalomszolgáltatói, internetszolgáltatói és felhasználói olvasatok

2017 ◽  
Vol 15 (3) ◽  
pp. 41
Author(s):  
Zoltán Szűts ◽  
Jinil Yoo
Keyword(s):  
Open Access ◽  
Social Communication ◽  
Service Providers ◽  
Net Neutrality ◽  
Internet Service Providers ◽  
Internet Service ◽  
Free Competition ◽  
Theoretical Insight

Tanulmányunk témája a netsemlegesség. Először magát a fogalmat definiáljuk többféle módon, majd a netsemlegességgel kapcsolatos törvényhozói, internet- és tartalomszolgáltatói, valamint felhasználói kihívásokat, problémákat és válaszokat mutatjuk be. Számos szerző szerint az internet legnagyobb, immár tradicionális értéke a nyíltság, sokszínűség, tartalomgazdagság, tértől és időtől független társadalmi és perszonális kommunikációba való szabad belépés és a szabad verseny lehetősége. A netsemlegesség mellett és ellen felhozott érvek bemutatását is ezek a szempontok alapján tesszük. Kiemelt szerepet kap a netsemlegesség megsértésének kategorizálása is. Tanulmányunkban közlünk egy törvényalkotási kronológiát, mely az USA-ra, az EU-ra és Kelet-Ázsiára fókuszál, illetve ismertetjük a BEREC 2011-es felmérésének az EU-ban alkalmazott, internetszolgáltatói gyakorlatra vonatkozó eredményeit. A munkát az Internet.org kezdeményezést vizsgáló esettanulmány zárja, végül ezt követik a jövővel kapcsolatos kérdések, és néhány lehetséges válasz. --- Net neutrality - definitions and the standpoints of legislators, content providers, Internet service providers and users This article examines the topic of net neutrality. Firstly, it provides us with a theoretical insight and several definitions. Then it presents the issues and challenges legislators, ISP’s, content providers and users face. Several authors state that the biggest virtue and value of Internet lies in open access, diversity, richness of content, free competition, and low barrier entry for users in order to participate in personal social communication. Our presentation of arguments pro and cons net neutrality will be built on the basis of these considerations. Priority will be given to the introduction of several categories of net neutrality violations. In our paper we will present a legislative chronology in the topic focusing on USA, EU and Korea-Japan as well as the findings of the 2011 BEREC survey. Finally we examine the Internet.org project. In the conclusion, the article offers several more issues to be discussed and provides some possible answers.

scholarly journals Estimating PQoS of Video Streaming on Wi-Fi Networks Using Machine Learning

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 621
Author(s):  
Maghsoud Morshedi ◽  
Josef Noll
Keyword(s):  
Machine Learning ◽  
Video Streaming ◽  
Network Performance ◽  
Service Providers ◽  
Perceived Quality ◽  
Internet Service Providers ◽  
Performance Parameters ◽  
Internet Service ◽  
Access Points

Video on demand (VoD) services such as YouTube have generated considerable volumes of Internet traffic in homes and buildings in recent years. While Internet service providers deploy fiber and recent wireless technologies such as 802.11ax to support high bandwidth requirement, the best-effort nature of 802.11 networks and variable wireless medium conditions hinder users from experiencing maximum quality during video streaming. Hence, Internet service providers (ISPs) have an interest in monitoring the perceived quality of service (PQoS) in customer premises in order to avoid customer dissatisfaction and churn. Since existing approaches for estimating PQoS or quality of experience (QoE) requires external measurement of generic network performance parameters, this paper presents a novel approach to estimate the PQoS of video streaming using only 802.11 specific network performance parameters collected from wireless access points. This study produced datasets comprising 802.11n/ac/ax specific network performance parameters labelled with PQoS in the form of mean opinion scores (MOS) to train machine learning algorithms. As a result, we achieved as many as 93–99% classification accuracy in estimating PQoS by monitoring only 802.11 parameters on off-the-shelf Wi-Fi access points. Furthermore, the 802.11 parameters used in the machine learning model were analyzed to identify the cause of quality degradation detected on the Wi-Fi networks. Finally, ISPs can utilize the results of this study to provide predictable and measurable wireless quality by implementing non-intrusive monitoring of customers’ perceived quality. In addition, this approach reduces customers’ privacy concerns while reducing the operational cost of analytics for ISPs.

Sign in / Sign up

Export Citation Format

Share Document