Introduction - IPLOOK NETWORKS CO., LTD.

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IPLOOK is an industry-leading end-to-end, cloud-based mobile network solutionprovider. PLOOK services cover 50 countries or regions for more than 50 million users, and publishedover 275 software copyrights and patents in core network field.

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Introduction - IPLOOK NETWORKS CO., LTD.

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IPLOOK IKEPC 500 series has already launched. IKEPC series, a highly compact, flexible and cost-effective platform, combines MME, PGW, SGW, HSS, PCRF, IMS and DRA network elements all in one box, perfectly meeting the needs of operators and enterprises. This document briefly introduces IKEPC 500 series’ network architecture, application scenarios, key features and hardware specifications, etc. Learn more about IKEPC 500 series through our website: https://www.iplook.com/products/compact-epc

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The PGW provides connectivity between the UE and external packet data networks. It provides the entry and exit point of traffic for the UE. A UE may have simultaneous connectivity with more than one PGW for accessing multiple Packet Data Networks. The PGW performs policy enforcement, packet filtering for each user, charging support, lawful interception and packet screening. The SGW and PGW function could be realized as a single network element.

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IPLOOK HSS brings the functionality of the HSS into the SAE domain. It features distributed structure and modular design, and supports many reliability functions, including in-memory data management, multi-level data backup and seamless geographic redundancy solution. The User Data and Server Process of HSS are separated to BE (End Back, subscriber data storage and operations) and FE (End Front, process the signal and service logic).

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IPLOOK IMS products have supported the following features: 1.Voice call with VoLTE or VoIP tech 2.Video call with VoLTE or VoIP tech 3.Interaction Call between LTE and PSTN or 2/3G CS through E1/T1 connections 4.Interaction between IMS networks 5.Instant Messaging 6.Billing event generation for Prepaid or Postpaid for charging 7.Support IPSec ESP for signaling transport 8.Support AKAv1/AKAv2/Http Digest/SIP Digest authentication 9.Supplementary service: Calling line Identification Presentation Calling Line Identification Restriction Call Forwarding Unconditional Call Forwarding on Mobile Subscriber Busy Call Forwarding on No Reply Call Forwarding on Mobile Subscriber Not Reachable Call Wait Call Hold Operator Determined Barring 10.3rd party call 11.Fax T.38 service 12.Work with RCS to support Presence information 13.Interaction with SMC&SMGW to support SMS service

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With the increasing mobile connections, the efficiency use of limited frequency band becomes one primary assignment for operators. Correspondingly, new value added services are constantly emerging widening the range and types of service offerings and pricing plans. The introduction of Mobile Virtual Network Operator (MVNO) is seen as a natural progression towards enhancing free market principles and contributing to the efficient use of existing telecommunication infrastructure.

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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