The most surprising finding was that 33.5% of respondents felt there was a future for virtual (computer generated) AI influencers like Lil Miquela (@lilmiquela). Ella Glikson, Anita Williams Woolley, Pranav Gupta and Young Ji Kim The Effect of Automatic Feedback on Effort and Collective Intelligence in Distributed Virtual Teams ( abstract ) 12:15. While specificity was uniformly high for all phases with all 5 algorithms (range, 0.877 to 0.999), sensitivity ranged between 0.005 (95% CI, 0.000 to 0.015) for the support vector machine for wound closure (corneal hydration) and 0.974 (95% CI, 0.957 to 0.991) for the RNN for main incision. Precision ranged between 0.283 and 0.963. Overview Information Cumin is an herb. The seeds of the plant are used to make medicine. People use cumin for many conditions, including abnormal levels of cholesterol.

Kim Roseolms Ai Ci Programming

Ella Glikson, Anita Williams Woolley, Pranav Gupta and Young Ji Kim The Effect of Automatic Feedback on Effort and Collective Intelligence in Distributed Virtual Teams ( abstract ) 12:15.

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Ho Chi Minh, original name Nguyen Sinh Cung, also called Nguyen Tat Thanh or Nguyen Ai Quoc, (born May 19, 1890, Hoang Tru, Vietnam, French Indochina—died September 2, 1969, Hanoi, North Vietnam), founder of the Indochina Communist Party (1930) and its successor, the Viet-Minh (1941), and president from 1945 to 1969 of the Democratic Republic of Vietnam (North Vietnam). As the leader of the Vietnamese nationalist movement for nearly three decades, Ho was one of the prime movers of the post-World War II anti-colonial movement in Asia and one of the most influential communist leaders of the 20th century.

What did Ho Chi Minh accomplish?

Ho Chi Minh led a long and ultimately successful campaign to make Vietnam independent. He was president of North Vietnam from 1945 to 1969, and he was one of the most influential communist leaders of the 20th century. His seminal role is reflected in the fact that Vietnam’s largest city is named for him.

How did Ho Chi Minh grow up?

Ho Chi Minh grew up in a small village in what was then French Indochina. As a teen, he attended a good school in Hue. As a young man, he traveled the world as a seaman, took various jobs in London, and moved to France, where he advocated for Vietnamese nationalism and became a communist.

Early life

The son of a poor country scholar, Nguyen Sinh Huy, Ho Chi Minh was brought up in the village of Kim Lien. He had a wretched childhood, but between the ages of 14 and 18 he was able to study at a grammar school in Hue. He is next known to have been a schoolmaster in Phan Thiet and then was apprenticed at a technical institute in Saigon.

In 1911, under the name of Ba, he found work as a cook on a French steamer. He was a seaman for more than three years, visiting various African ports and the American cities of Boston and New York. After living in London from 1915 to 1917, he moved to France, where he worked, in turn, as a gardener, sweeper, waiter, photo retoucher, and oven stoker.

During the six years that he spent in France (1917–23), he became an active socialist under the name Nguyen Ai Quoc (“Nguyen the Patriot”). He organized a group of Vietnamese living there and in 1919 addressed an eight-point petition to the representatives of the great powers at the Versailles Peace Conference that concluded World War I. In the petition, Ho demanded that the French colonial power grant its subjects in Indochina equal rights with the rulers. This act brought no response from the peacemakers, but it made him a hero to many politically conscious Vietnamese. The following year, inspired by the success of the communist revolution in Russia and Vladimir Lenin’s anti-imperialist doctrine, Ho joined the French Communists when they withdrew from the Socialist Party in December 1920.

After his years of militant activity in France, where he became acquainted with most of the French working-class leaders, Ho went to Moscow at the end of 1923. In January 1924, following the death of Lenin, he published a moving farewell to the founder of the Soviet Union in Pravda. Six months later, from June 17 to July 8, he took an active part in the Fifth Congress of the Communist International, during which he criticized the French Communist Party for not opposing colonialism more vigorously. His statement to the congress is noteworthy because it contains the first formulation of his belief in the importance of the revolutionary role of oppressed peasants (as opposed to industrial workers).

In December 1924, under the assumed name of Ly Thuy, Ho went to Canton (Guangzhou), a communist stronghold, where he recruited the first cadres of the Vietnamese nationalist movement, organizing them into the Vietnam Thanh Nien Cach Menh Dong Chi Hoi (“Vietnamese Revolutionary Youth Association”), which became famous under the name Thanh Nien. Almost all of its members had been exiled from Indochina because of their political beliefs and had gathered together in order to participate in the struggle against French rule over their country. Thus, Canton became the first home of Indochinese nationalism.

When Chiang Kai-shek, then commander of the Chinese army, expelled the Chinese communists from Canton in April 1927, Ho again sought refuge in the Soviet Union. In 1928 he went to Brussels and Paris and then to Siam (now Thailand), where he spent two years as a representative of the Communist International, the world organization of communist parties, in Southeast Asia. His followers, however, remained in South China.

Founding of the Indochinese Communist Party

Meeting in Hong Kong in May 1929, members of the Thanh Nien decided to form the Indochinese Communist Party (PCI). Others—in the Vietnamese cities of Hanoi, Hue, and Saigon—began the actual work of organization, but some of Ho’s lieutenants were reluctant to act in the absence of their leader, who had the confidence of Moscow. Ho was brought back from Siam, therefore, and on February 3, 1930, he presided over the founding of the party. At first it was called the Vietnamese Communist Party, but, after October 1930, Ho, acting on Soviet advice, adopted the name Indochinese Communist Party. In this phase of his career, Ho acted more as an arbiter of conflicts among the various factions, allowing the organization of revolutionary action, rather than as an initiator. His prudence, his awareness of what it was possible to accomplish, his care not to alienate Moscow, and the influence that he already had achieved among the Vietnamese Communists can be seen in these actions.

The creation of the PCI coincided with a violent insurrectionary movement in Vietnam. Repression by the French was brutal; Ho himself was condemned in absentia to death as a revolutionary. He sought refuge in Hong Kong, where the French police obtained permission from the British for his extradition, but friends helped him escape, and he reached Moscow via Shanghai.

In 1935 the Seventh Congress of the International, meeting in Moscow, which he attended as chief delegate for the PCI, officially sanctioned the idea of the Popular Front (an alliance with the noncommunist left against fascism)—a policy Ho had advocated for some time. In keeping with this policy, the Communists in Indochina moderated their anti-colonialist stance in 1936, allowing for cooperation with “antifascist colonialists.” The formation of Premier Léon Blum’s Popular Front government in France in the same year allowed leftist forces in Indochina to operate more freely, although Ho, because of his condemnation in 1930, was not permitted to return from exile. Repression returned to Indochina with the fall of the Blum government in 1937, and by 1938 the Popular Front was dead.

born

May 19, 1890
Hoang Tru, Vietnam

died

September 2, 1969 (aged 79)
Hanoi, Vietnam

• president, North Vietnam (1945-1969)

political affiliation

role in

founder of

All times in local Taipei time.

WEDNESDAY, 9 DECEMBER 2020

11:00-12:30
Industry Demo 1 (Live): 5G iRAN for Factories of the Future

16:00-17:30
Industry Demo 2 (Live): free5GC

16:00-17:30
Industry Demo 3 (Live): Open and Intelligent RAN for Vertical

16:00-17:30
Industry Demo 6 (Live): Towards 5G Cloud-Native: Automation and Flexible Network Aggregation

THURSDAY, 10 DECEMBER 2020

11:00-12:30
Industry Demo 4 (Live): VR and MR Applications in 5G Enterprise Private Network

14:00-15:30
Industry Demo 5 (Live): 5G Enhanced Mobile Broadband Access Networks in Crowded Environments

16:00-17:30
Industry Demo 7 (Live): IS-Wireless RAN Controller for Managing the SD-RAN Networks

Industry Demo 1 (Live): 5G iRAN for Factories of the Future

Date/Time: 9 December 2020, Wednesday: 11:00-12:30
Room: 201F

Authors:

1. Yountai Lee, Smart System Institute, Institute for Information Industry, Taiwan
2. Mingzoo Wu, Smart System Institute, Institute for Information Industry, Taiwan
3. TeJen Wang, Smart System Institute, Institute for Information Industry, Taiwan
4. Yingfang Lee, Smart System Institute, Institute for Information Industry, Taiwan

Abstract:

• 5G iRAN tries to build an intelligent RAN solution for 5GS and various QoS demands, such as low latency, high reliability, survival time. This will integrate 5G wireless communications with the function module in factory. 5G iRAN will be developed according to 3GPP IIoT/NPN and O-RAN RIC based on III 5G gNB/5GC solution. At least three scenario demonstrations of future factory would be developed and verified in this project. The goal is to provide the 5GS E2E solution, QoS-aware wireless private network for the smart factories in 5G era.
• In the modern factories, all types of machines, tools, and sub-systems have to be connected to each other for data exchange or sharing. Thus the communication middleware is quite critical to the IIoT functions and applications. ROS2 is based on the DDS decentralized/non-synchronous data exchange mechanism with high QoS control capability. With this feature, it is very suitable for building the communication and intelligent control between robot arm, AGV and AR glasses in the factory. It can also expand to the application as a transmission standard for factory networks. It is conducive make the future factory more easily to deploy but the intelligent control for ICT systems.
• Project Goal and Division of R&D Team
  • QoS-aware ROS2 information exchange platform
  • 5GS private network for wireless IIOT
  • ROS2/DDS applications integration and verification over the 5GS private network

Program:
Chair: Yountai Lee (On-site)

Industry Demo 2 (Live): free5GC

Date/Time: 9 December 2020, Wednesday: 16:00-17:30
Room: 201F

Authors:
Jyh-Cheng Chen, Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan
Yao-Wen Chang, Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan
Liang-Yu Chen, Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan
Jyun-Yu Syu, Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan
Wei-Chun Yang, graduate students, Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan

Abstract: The free5GC is an open-source project for 5th generation (5G) mobile core network led by researchers from National Chiao Tung University. The free5GC is the first open-source core network in the world based on the 3GPP Release 15 (R15) specifications. The ultimate goal of free5GC is to implement a full commercially operational core network including Operation, Administration and Management (OAM), orchestrator, and network slicing complied with 3GPP R15 and beyond. In the past, the cellular core network was very expensive and not easy to access the source code. For people doing research in cellular core networks, they usually could only conduct mathematical analysis and simulation to verify their ideas. With free5GC, researchers not only can get the source code for free, but also can realize their own ideas in a real 5G core network environment. The free5GC can facilitate innovations in prototype and testbed development.

Program:
Chair: Liang-Yu Chen, Jyun-Yu Syu, Chia-An Lee (On-site)

Industry Demo 3 (Live): Open and Intelligent RAN for Vertical

Date/Time: 9 December 2020, Wednesday: 16:00-17:30
Room: North Lounge

Authors:

1. Kai-Chieh Tang, Researcher, Chunghwa Telecom Laboratories, Taiwan,
2. Tzu-Yi Chan, Software Engineer, Institute for Information Industry, Taiwan
3. Howard Cheng, Staff Applications Engineer, National Instruments, Taiwan,
4. Matisse Hsu, Director of System Integration R&D Division, Gemtek Technology Corporation, Taiwan
5. Po Chun LAI, DevRel-AI Alliance Manager, NVIDIA, USA
6. Jeffrey Chen, General Manager of Greater China wireless application engineering, Keysight Technologies, Taiwan

Abstract: 5G network is expected to cater the varied requirements and business needs of verticals. The key challenge for more complex and flexible 5G network results from the scale and flexibility of deployment, optimization, management, and orchestration of the network. O-RAN Alliance is a world-wide community of over 200 members and aims to transform the RAN towards to open, intelligent, virtualized, and fully interoperable. A flexible and customer-oriented network for verticals can be achieved by the merits of openness, intelligence, and virtualization. Moreover, network with intelligence especially tackles the difficulties of manual management and complicated network parameter optimization to better user experience. Considering the diversified QoE demand can’t be satisfied by current QoS framework, an intelligent UE-centric service network is showcased to improve the user experience which takes into account radio conditions, priority of users, and video requirements. Main features include

• RAN Intelligent Controller prototype which enables network planning as well as dynamic network optimization to improve network coverage and capacity for moving UE

Program:
Chair: Dr. Kai-Chieh Tang (On-site)

Industry Demo 4 (Live): VR and MR Applications in 5G Enterprise Private Network

Date/Time: 10 December 2020, Thursday: 11:00-12:30
Room: 201F

Author:
Aaron Chuang, Compal Electronics, Inc. Taiwan
Industrial Technology Research Institute, Taiwan
Institute for Information Industry, Taiwan
Trend Micro Incorporated, Taiwan

Abstract:

1. 5G has been associated with the promise of new digital applications and services which require the high bandwidth and low latency user scenarios framed by IMT-2020 standard.
2. The high bandwidth and low latency properties of 5G offer promise for MR (Mixed Reality) and VR (Virtual Reality) applications, in particular in the vertical fields, such as manufacturing, entertainment, education, and telemedicine.
3. 5G Enterprise Private Network operating in dedicated spectrum and in the environment with high connection density and security ushers the promises of industrial revolution in which MR technology enables the remote engineering collaboration in a reliable way; interactive streaming in which VR technology brings immersive user experience with 5G mobility feature.
4. In this demonstration, Compal and its partners showcase the end-to-end integrated 5G Enterprise Private Network with Compal’s user equipment (UE), and radio access network (RAN) equipment, and the essential 5G network infrastructure elements, such as 5G Package Core (5GC), Multi-access Edge Computing (MEC), and Mobile Network Security (MNS) solutions under the open network environment. In addition, on top of the 5G Enterprise Network, the use cases of VR and MR with Compal’s head-mounted display (HMD) devices would be demonstrated for a variety of verticals.

Industry Demo 5 (Live): 5G Enhanced Mobile Broadband Access Networks in Crowded Environments

Date/Time: 10 December 2020, Thursday: 14:00-15:30
Room: 201F

Authors:
Haesik Kim, VTT Technical Research Centre of Finland, Finland
Kenta Umebayashi, Tokyo University of Agriculture and Technology, Japan

Abstract: Macrocells covering large geographical areas will be difficult to deliver the dense coverage and high bandwidth. 5G-Enhance contribution: In order to deliver the dense coverage and high capacity, we develop a new technology, validate the large trials, and perform a large scale trials in EU and Japan.

A key objective for the 5G-Enhance Project is to define and evaluate interoperable 5G eMBB and efficient network solutions in dense area. In this demonstration, we present our interim results including technical requirements, publications, interim test results, and on-site/remote demonstration.

5G-Enhance will execute two large scale trials with eMBB in crowded environments (dense area) to show the feasibility of the applications based on 5G network. The focus is on two specific applications in the context of enabling healthy lifestyle: The first application is 3D remote class for a real-time surgery that will be implemented in the Demo-1 (Trial 1). The second application is ad-hoc outdoor sport event to be implemented in the Demo-2 (Trial 2). The two demonstrations have different requirements. Demo-1, requires very high data rate, and supporting many users with low mobility and Demo-2 requires high data rate and supporting a massive number of users with high mobility.

Program:
Chair: Haesik Kim and Kenta Umebayashi (Virtual)

Industry Demo 6 (Live): Towards 5G Cloud-Native: Automation and Flexible Network Aggregation

Kim Roseolms Ai Ci Programming

Date/Time: 9 December 2020, Wednesday: 16:00-17:30
Room: R103

Authors:

1. Osama Arouk, Communications Systems Department, Eurecom, France
2. Navid Nikaein, Communications Systems Department, Eurecom, France

Abstract:
Auto-scaling, frequent deployment of services with a quick failure recovery (e.g., service availability > 99.999 %) are essential features to support 5G and beyond networks in cloud environments. Such service resiliency, flexibility and network automation in 5G networks as required for network slicing and orchestration, as well as services' evolution (e.g., service update/upgrade, scaling etc.), can be achieved via softwarization, virtualization, and cloud computing technologies. Aiming at delivering the applications as-as-service, cloud-native is a methodology of developing, building, and managing the applications that fully exploit the cloud computing model. Agility, self-healing and auto-pilot (e.g., auto-configuration), among others, are considered as the core features envisioned for 5G in cloud native environment.

There are three main design patterns for cloud-native approach. Firstly, the cloud-native applications are composed of microservices, where they can be composed of many services meshed together and operating independently of each other. Secondly, the cloud-native applications are packaged in one or multiple isolated containers, while managed by means of a set of standard APIs. Finally, they run in a continuous integration and delivery (CI/CD), where an application goes through fast cycles of development, build, test, release, and deployment.

Considered as one of the main features attracting the adoption 5G and beyond in cloud native environment, microservices and containers have small footprint and fast start times. There are many technologies for containerization, such as Linux Containers (LXC), containerd, CRI-O, docker, with a relatively similar performance. In order to cloudify the network, flexible functional split was introduced by 3GPP [TR 38.801] to cope with the ever increasing COPEX/CAPEX with the introduction of new services in 5G. Contrary to monolithic 4G RAN, 5G RAN is disaggregated into three main units: the Remote Radio Unit (RRU), the Distributed Unit (DU), and the Centralized Unit (CU). All the necessary components related to signal transmission/reception exist in RRU, while DU may contain a set of physical layer functions shifted to the cloud as well as some set of higher layer functions. The rest of higher layer functions will be then treated/processed at the CU. Similarly, the core network can be, monolithic (running as singly entity), disaggregated, or even re-aggregated for different objectives like optimize the resources, reduce the traffic on /access/mid/back-haul, etc. After shifting 5G functions to the cloud (i.e., build them as a cloud-native applications), the number of containers may grow drastically on per service basis (i.e., network slices and sub-slices). This calls for efficient management and orchestration of the ecosystem in order to achieve the envisioned performance. Several frameworks already exist, such as Kubernetes, Docker Swarm, and Apache Mesos. For the ease of packaging, deploying and managing Kubernetes applications, Operator framework is introduced under Kubernetes environment for encapsulating the lifecycle management operations, and thus facilitating service automation. Kue5G-Operator is a good example of such Kubernetes Operator, which will be exploited in this demo. It is worth noting that Kubernetes is considered as a defacto candidate for the orchestration of 5G and beyond in cloud environment as it has the largest community, better support, and thus long term support. The same also holds for Docker container model.

Motivated by the necessity of quick 4G/5G service deployed, re-configuration, and dynamic network management according to the ongoing user traffic, we present the current demo. In this demo, we present 5G dynamic network deployment, (dis/re-) aggregation, and (re)configuration in cloud-native environment. More specifically, we demonstrate in this demo the following: i) support 5G in cloud native via Kube5G-Operator and dynamically automate the network, i.e. upgrade/downgrade services, ii) change the configuration automatically, iii) dynamically switch between (dis/re-)aggregation modes for both CN and RAN according to user traffic. Note that the aforementioned features of Kube5G- Operator spans different phases of openshift operator, ranging from basic install (e.g., application provision), to auto-pilot (e.g., auto-configuration).

Program:
Chair: Osama Arouk (virtual), Navid Nikaein (pre-recorded)

Industry Demo 7 (Live): IS-Wireless RAN Controller for managing the SD-RAN networks

Date/Time:10 December 2020, Thursday: 16:00-17:30
Room: 201F

Authors:
Syed Saqlain Ali, IS-Wireless, Warsaw, Poland
Adam Flizikowski, IS-Wireless, Warsaw, Poland

Abstract: As per 3GPP standards, 5G RAN is a logical architecture that can be implemented and deployed in different ways depending on operator requirement and preferences, therefore 5G becomes more ‘Network of functions’ rather than a ‘Network of entities.’ Moreover with the availability of 5G specifications (e.g. CUPS, functional split concept), omnipresent virtualization platforms, and the introduction of Software Defined Network (SDN) concept into the mobile infrastructure (RAN virtualization) it will become possible to combine the capabilities together in order to enable configuration, optimization and control of the underlying RAN infrastructure from centralized location called RAN Controller (or aggregation points). Therefore, it is possible to expose eNB/gNB functionalities as xApps (i.e. applications such as Admission control, Radio optimization, Mobility management or any other 3rd party xApps) that are available as plug-ins for the RAN Controller to enforce policies via southbound (SB) interface towards the radio stack. Such an architecture provides such an unprecedented approach for controlling radio resources.

Building on the principles of softwarization, virtualization programmability and intelligence, there has been a huge global interest from the operators towards enhancing the existing RAN architecture. The objective is to assure Software-Defined RAN architecture that provides an efficient radio connection and management control for current and beyond fifth generation (5G) networks.

The focus of the proposed demonstration is the proprietary RAN controller in an interactive environment with SD-RAN, both developed by IS-Wireless. The purpose of this demo is to show the complete interaction of the network administrator with the RAN network that is managed by the network management dashboard backed up by the xApps. The objective will be to first define authorized users who can enter the network in combination with suitable admission control settings (via xApp), perform a sample network provisioning and configuration. The administrator console will be presented that allows configuring the xApps (admission control, simple RRM algorithm) together with a dashboard for performance monitoring visualizations relevant to the scenario (e.g. UE rejection/Acceptance, PRBs, throughput). In addition, the flexible resource allocation policy will be provided with the user interface, allowing custom PRB management (GBR, RR). The RRM settings would in turn be enforced down to the mobile network substrate. We will show that there is online exchange of information between the administrator RAN Controller SD-RAN and the UEs. We will also show how xApps running inside the RAN controller interacts via SB interface with the stack. The number of UEs and their type of connection with the eNB will depend on the capabilities at the venue (i.e. whether we rely on the radio spectrum or cable between eNB and the UE). All in all this event will demonstrate capabilities of ISW’s RAN controller managing resources of an underlying SD-RAN.

1. Admission Control xApp: Application that includes basic criteria to admit or reject users and control the execution of eNB/gNB in such a way that requested QoS can be achieved for the UE seeking admission.
2. Scheduling xApp: Legacy scheduling algorithm (e.g. RR, PF) deployed as xApp to allocate a number of RBs but also a custom scheduler will be presented to successfully operate with RAN controller.
3. Graphical User Interface (GUI): A dedicated graphical user interface will be used to manage the ORAN based SD-RAN deployment (RAN configuration) and provide immediate and visual measures about the effect of each execution (sample KPIs collection).

Program