Difference between revisions of "Resource:Seminar"

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{{SemNote
{{SemNote
|time='''2023-04-06 9:30'''
|time='''2025-04-11 10:30-12:00'''
|addr=4th Research Building A527-B
|addr=4th Research Building A518
|note=Useful links: [[Resource:Reading_List|Readling list]]; [[Resource:Seminar_schedules|Schedules]]; [[Resource:Previous_Seminars|Previous seminars]].
|note=Useful links: [[Resource:Reading_List|📚 Readling list]]; [[Resource:Seminar_schedules|📆 Schedules]]; [[Resource:Previous_Seminars|🧐 Previous seminars]].
}}
}}


===Latest===
===Latest===
{{Latest_seminar
{{Latest_seminar
|abstract =Low-power wireless networks have the potential to enable applications that are of great importance to industry and society. However, existing network protocols do not meet the dependability requirements of many scenarios as the failure of a single node or link can completely disrupt communication and take significant time and energy to recover. This paper presents Hydra, a low-power wireless protocol that guarantees robust communication despite arbitrary node and link failures. Unlike most existing deterministic protocols, Hydra steers clear of centralized coordination to avoid a single point of failure. Instead, all nodes are equivalent in terms of protocol logic and configuration, performing coordination tasks such as synchronization and scheduling concurrently. This concept of concurrent coordination relies on a novel distributed consensus algorithm that yields provably unique decisions with low delay and energy overhead. In addition to a theoretical analysis, we evaluate Hydra in a multi-hop network of 23 nodes. Our experiments demonstrate that Hydra withstands random node failures without increasing coordination overhead and that it re-establishes efficient and reliable data exchange within seconds after a major disruption.
|abstract = 在AI革命汹涌来袭的当下连续创业者如何实现底层认知的进化？AI对技术的影响又如何影响到企业决策？报告人何仲潇系云起老和科技有限公司创始人/CEO，四川浙大校友会理事，浙大企业导师，成都市金熊猫B类人才。让我们跟随云起老和的视角感受AI浪潮中的创业进化历程！
|confname=IPSN 2023
|confname = 创新创业分享会
|link=https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/602741/ipsn23-22.pdf?sequence=1&isAllowed=y
|link = https://mobinets.cn/site/Resource:Seminar
|title=Hydra: Concurrent Coordination for Fault-tolerant Networking
|title= AI革命浪潮中的进化--连续创业者的底层认知进化与创业选择
|speaker=Pengfei}}
|speaker= 何仲潇
{{Latest_seminar
|date=2025-04-11
|abstract = We report our experiences of developing, deploying, and evaluating MLoc, a smartphone-based indoor localization system for malls. MLoc uses Bluetooth Low Energy RSSI and geomagnetic field strength as fingerprints. We develop efficient approaches for large-scale, outsourced training data collection. We also design robust online algorithms for localizing and tracking users' positions in complex malls. Since 2018, MLoc has been deployed in 7 cities in China, and used by more than 1 million customers. We conduct extensive evaluations at 35 malls in 7 cities, covering 152K m2 mall areas with a total walking distance of 215 km (1,100 km training data). MLoc yields a median location tracking error of 2.4m. We further characterize the behaviors of MLoc's customers (472K users visiting 12 malls), and demonstrate that MLoc is a promising marketing platform through a promotion event. The e-coupons delivered through MLoc yield an overall conversion rate of 22%. To facilitate future research on mobile sensing and indoor localization, we have released a large dataset (43 GB at the time when this paper was published) that contains IMU, BLE, GMF readings, and the localization ground truth collected by trained testers from 37 shopping malls.
}}
|confname=MobiCom 2022
|link=https://dl.acm.org/doi/pdf/10.1145/3495243.3517021
|title=Experience: practical indoor localization for malls
|speaker=Zhuoliu}}
{{Latest_seminar
|abstract = Low-earth-orbit (LEO) satellite mega-constellations promise broadband, low-latency network infrastructure from space for terrestrial users in remote areas. However, they face new QoS bottlenecks from infrastructure mobility due to the fast-moving LEO satellites and earth’s rotations. Both cause frequent space-ground link churns and challenge the network latency, bandwidth, and availability at the global scale. Today’s LEO networks mask infrastructure mobility with fixed anchors (ground stations) but cause single-point bandwidth/latency bottlenecks. Instead, we design LBP to remove the LEO network’s QoS bottlenecks from infrastructure mobility. LBP removes remote terrestrial fixed anchors via geographic addressing for shorter latencies and more bandwidth. It adopts local, orbit direction-aware geographic routing to avoid global routing updates for high network availability. LBP further shortens the routing paths by refining handover policies by satellites’ orbital directions. Our experiments in controlled testbeds and trace-driven emulations validate LBP’s 1.64× network latency reduction, 9.66× more bandwidth, and improve network availability to 100%.
|confname=IWQoS 2022
|link=https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796680
|title=Geographic Low-Earth-Orbit Networking without QoS Bottlenecks from Infrastructure Mobility
|speaker=Kun}}
 
 
 
=== History ===


{{Resource:Previous_Seminars}}
{{Resource:Previous_Seminars}}

Latest revision as of 09:27, 11 April 2025

Time: 2025-04-11 10:30-12:00
Address: 4th Research Building A518
Useful links: 📚 Readling list; 📆 Schedules; 🧐 Previous seminars.

Latest

  1. [创新创业分享会] AI革命浪潮中的进化--连续创业者的底层认知进化与创业选择, 何仲潇
    Abstract: 在AI革命汹涌来袭的当下连续创业者如何实现底层认知的进化？AI对技术的影响又如何影响到企业决策？报告人何仲潇系云起老和科技有限公司创始人/CEO，四川浙大校友会理事，浙大企业导师，成都市金熊猫B类人才。让我们跟随云起老和的视角感受AI浪潮中的创业进化历程！

History

2024

2023

2022

2021

2020

  • [Topic] [ The path planning algorithm for multiple mobile edge servers in EdgeGO], Rong Cong, 2020-11-18

2019

2018

2017

Instructions

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