分項四

AI技術運用於5G/IoT應用

(AI  for 5G/IoT Applications)

        將分散式的人工智慧元件部署於通訊軟體平台適當的位置,透過虛擬化之元件將AI的機制與5G網路整合,因應新型態的物聯網應用進行智慧型運算,以展示創新的未來物聯網應用。

5年與所提研究主題相關之研究績效

        5G無線通訊技術即將來臨,全球行動通訊業者與營運商追求技術創新的步伐不斷加快腳步,預估到2020年,5G時代便會正式來臨。物聯網(Internet of Things,IoT)亦被5G網路列為最重要的發展目標之一。在未來的智慧環境中,將充斥著許多的環境感測器、網路攝影機、穿戴式裝置、高頻寬與低延遲的網路。此外,隨著機器學習(Machine Learning)的蓬勃發展,人工智慧(Artificial Intelligence,AI)技術在近年來有非常大的躍進,而AI的技術也逐漸地融入於我們的日常生活當中,藉由結合AI技術與物聯網環境,預期可提供我們更為便利的生活方式。

在物聯裝置多重探測整合方面,我們長年從事感測器 [1] [2] [3]與無線感測網路 [4] [5]相關研究,近年來也嘗試利用機器學習在各個情境的應用 [6] [7]。在MIMO無線傳輸技術,已發表數篇研究成果於頂級國際會議 [8] [9] [10] [11]。在物聯裝置轉介平台機器學習模組研究方面,我們對於物聯網的應用平台有深入研究,為整合各種物聯裝置的資訊(影像、聲音、通訊),設計了IotTalk,可以納管不同通訊協定及不同資料性質的平台,至今已建立許多IoT互動應用 [12] [13] [14],收集sensor數據,用於智慧運輸系統(ITS) [15]以及微電網 [16] [17],未來加入機器學習模組後將以機器/深度學習方法來改善先前工作的效能。在物聯裝置與智慧工廠方面,我們研究物聯裝置在製造業工廠和智慧物流中心之各個議題,包含佈署方式、排程、與動態優化等 [18] [19] [20],並與IC設備廠合作,利用類神經網路預測生產環境,減低生產成本,至今已測試過百台以上的生產裝置,有些廠商甚至因為其提出的檢驗方式更改生產線運作方式 [21] [22] [23] [24]。與研華科技合作,發展出溫控生產之即時評估,異常偵測與診斷等相關技術,深化工業4.0技術。在物聯裝置與健康監護、影像監測方面,從事車載網相關研究 [25] [26],近年來利用機器學習及穿戴式裝置發展出行為辨識功能 [27] [28]。在類神經圖形訊號學習與處理與物聯網串流演算法方面,從事影像處理相關工作,並融合機器學習技術於影像處理研究,累積理論與實務經驗,有系統訊號視覺化,提高判斷精確度的方式 [29] [30] [31],並研究大數據相關之圖論問題 [32] [33] [34] [35]。在AI技術應用於5G行動通訊系統設計方面,著重信號處理、微波/毫米波異質網路系統與基於人工智慧之行動網路自我偵錯與修復技術的相關研究 [36] [37] [38] [39] [40] [41] [42] [43]。根據上述之研究成果,本中心AI物聯網團隊發展了完整的物聯網平台、雲端計算平台、巨量資料分析平台以及M2M技術,已經完成多項工業物聯網裝置示範應用。秉持挑選「高共通性」、「高技術挑戰」、「高預期經濟影響力及潛在應用市場」之原則,在執行上堅持「研究深耕」、「教學扎根」、「密切產學合作」之主軸,透過與廠商產學合作之計畫配合,試煉本計畫所研發之M2M聯網之核心技術,發展出工業4.0之示範應用,以真正達到深耕於網路與資訊系統工業之基礎之目的。

短中長期效益目標

        分項D研發的AI/IoT技術將有系統地改善現有通訊效能以及提供5G/IoT創新應用服務,並以開源方式回饋全世界。本分項將分散式的人工智慧元件部署於5G/IoT核心網路的適當位置,以最佳化其路由交換,並建立智慧化網管系統納管。為了進行實驗研究分析,本中心將採購能支援本校行動網路實驗場域之行動網路邊緣雲平台,讓相關研究成果可以運行於此平台進行實驗研究分析,藉此了解如何將人工智慧元件部署於通訊軟體平台適當的位置。

短期目標:在物聯網專用平台建立基本的迴歸分析及集群函式,熟習各種感測器(加速器、陀縲儀、影像)及各種穿戴式裝置訊號重建與相似度比對方式;研發運用監督式學習技術於物聯裝置感測資料之演算法,使系統具備能診斷出單一異常問題能力,並優於現有常用之評分診斷方法,供後續優化與維護之參考。關於智慧電網技術,我們計畫結合AI與IoT技術在綠能相關產業。目前已經與德國法蘭克福能源集團公司Frankfurt Energy Holding (FEH),建立了合作關係。

中期目標:在物聯網專用平台建立類神經網路使用介面,逐步建立在5G網路上面的人工智慧技術,使得5G網路更加具有智慧,由於網路具有各種人工智慧的元件,能夠分析各種感測資料,並且加以融合,進而產生各種創新的物聯網應用。例如,單純的影像識別技術,只能夠在視覺辨識上面力求突破。我們開發的「第三隻眼」技術,包含了視覺以及多元感測資訊,在應用上可以突破現在各種物聯網應用的框架。關於智慧電網技術,我們將利用AI技術提升綠能生產效率、進行預測性維護、穩定電網傳輸。

長期目標:本中心因為具有虛擬化5G網路以及人工智慧的人才,希望藉由這項優勢能夠成為國際化的中心,吸引國外人才來訪甚至工作,並且經由開源軟體產生國際影響力,並且舉辦各種國際論壇/研討會。關於智慧電網技術,最終實現能源物聯網IoE(Internet of Energy)構架上之智慧化。

團隊成員研究成果

[1] Y.-A. Chen, J. Chen and Y.-C. Tseng, “Inference of Conversation Partners by Cooperative Acoustic Sensing in Smartphone Networks,” IEEE Transactions on Mobile Computing, vol. 15, no. 6, pp. 1387-1400, 2016.
[2] F.-J. Wu, H.-C. H. C.-C. S. Y.-C. T. Fang-Jing Wu, H.-C. Hsu, C.-C. Shen and Y.-C. Tseng, “Range-Free Mobile Actor Relocation in a Two-Tiered Wireless Sensor and Actor Network,” ACM Transactions on Sensor Networks (TOSN), vol. 12, no. 2, pp. 1-40, 2016.
[3] C.-W. Y. Y.-C. T. C.-S. N. C.-H. C. Yi-Ta Chuang, Y.-T. Chuang, C.-W. Yi, Y.-C. Tseng, C.-S. Nian and C.-H. Ching, “Discovering Phase Timing Information of Traffic Light Systems by Stop-Go Shockwaves,” IEEE Transactions on Mobile Computing, vol. 14, no. 1, pp. 58-71, 2015.
[4] Y.-C. Wang, Y.-F. Chen and Y.-C. Tseng, “Using Rotatable and Directional (R&D) Sensors to Achieve Temporal Coverage of Objects and Its Surveillance Application,” IEEE Transactions on Mobile Computing, vol. 11, no. 8, pp. 1358-1371, 2012.
[5] F.-J. Wu, H.-C. Hsu and Y.-C. Tseng, “Traffic-attracted Mobile Relay Deployment in a Wireless Ad Hoc Network,” in IEEE Global Communications Conference (GLOBECOM), Anaheim, CA, USA, 2012.
[6] Y.-C. Tsai, Y.-D. Cheng, C.-W. Wu, Y.-T. Lai, W.-H. Hu, J.-Y. Jeng and Y.-C. Tseng, “Time-Dependent Smart Data Pricing Based on Machine Learning,” in Canadian Conference on Artificial Intelligence, Edmonton, AB, Canada, 2017.
[7] C.-W. W. P. F.-V. L.-D. V. Y.-C. T. Xin Zhang, X. Zhang, C.-W. Wu, P. Fournier-Viger, L.-D. Van and Y.-C. Tseng, “Analyzing Students’ Attention in Class using Wearable Devices,” in IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), Macau, China, 2017.
[8] C.-L. Chan, H.-M. Tsai and K. C. Lin, “POLI: Long-Range Visible Light Communications Using Polarized Light Intensity Modulation,” in 15th Annual International Conference on Mobile Systems, Applications, and Services, Niagara Falls, NY, USA, 2017.
[9] Y.-L. Wei, C.-J. Huang, H.-M. Tsai and K. C. Lin, “CELLI: Indoor Positioning Using Polarized Sweeping Light Beams,” in 15th Annual International Conference on Mobile Systems, Applications, and Services, Niagara Falls, NY, USA, 2017.
[10] J.-Y. Chang, K.-Y. Lee, Y.-L. Wei, K. C. Lin and W. Hsu, “Location-Independent WiFi Action Recognition via Vision-based Methods,” in ACM on Multimedia Conference, Amsterdam, The Netherlands, 2016.
[11] H.-Y. Lee, H.-M. Lin, Y.-L. Wei, H.-I. Wu, H.-M. Tsai and K. C. Lin, “RollingLight: Enabling Line-of-Sight Light-to-Camera Communications,” in 13th Annual International Conference on Mobile Systems, Applications, and Services, Florence, Italy, 2015.
[12] Y.-B. Lin, Y.-W. Lin, C.-Y. Chih, T.-Y. Li, C.-C. Tai, Y.-C. Wang, F. J. Lin, H.-C. Kuo, C.-C. Huang and S.-C. Hsu, “EasyConnect: A Management System for IoT Devices and Its Applications for Interactive Design and Art,” IEEE Internet of Things Journal, vol. 2, no. 6, pp. 551-561, 12 2015.
[13] Y.-W. Lin, Y.-B. Lin, C.-Y. Hsiao and Y.-Y. Wang, “IoTtalk-RC: Sensors As Universal Remote Control for Aftermarket Home Appliances,” IEEE Internet of Things Journal, vol. 4, no. 4, pp. 1104-1112, 2017.
[14] Y.-W. Lin, Y.-B. Lin and M.-T. Yang, “ArduTalk: An Arduino Network Application Development Platform based on IoTtalk,” Accepted and to appear in IEEE System Journal, 2017.
[15] R.-H. Liou, Y.-B. Lin, Y.-L. Chang, H.-N. Hung, N.-F. Peng and M.-F. Chang, “Deriving the Vehicle Speeds from Mobile Telecommunications Network,,” IEEE Transactions on Intelligent Transportation Systems, vol. 14, no. 3, pp. 1208-1717, 2013.
[16] G.-R. Liu, P. Lin, Y. Fang and Y.-B. Lin, “Optimal Threshold Policy for In-home Smart Grid with Renewable Generation Integration,” IEEE Transactions on Parallel and Distributed Systems, vol. 26, no. 4, pp. 1096-1105, 2015.
[17] R. Huang, J. Wu, C. Long, Y. Zhu, B. Li and Y.-B. Lin, “SPRCA: Distributed Multi-Source InformationPropagation in Multi-Channel VANETs,” IEEE Transactions on Vehicular Technology, 2017.
[18] C.-C. Lin, D.-J. Deng and S.-Y. Jhong, “A Triangular NodeTrix Visualization Interface for Overlapping Social Community Structures of Cyber-Physical-Social Systems in Smart Factories,” Accepted and to appear in IEEE Transactions on Emerging Topics in Computing, 2017.
[19] C.-C. Lin, Y.-C. CHen, J.-L. Chen, D.-J. Deng, S.-B. Wang and S.-Y. Jhong, “Lifetime Enhancement of Dynamic Heterogeneous Wireless Sensor Networks with Energy-Harvesting Sensors,” Mobile Networks and Applications, vol. 22, no. 5, pp. 931-942, 2017.
[20] C.-C. Lin, P.-T. Tseng, T.-Y. Wu and D.-J. Deng, “Social-aware Dynamic Router Node Placement in Wireless Mesh Networks,” Wireless Networks, vol. 22, no. 4, pp. 1235-1250, 2016.
[21] T.-W. Chin, S.-L. Tsao, K.-W. Hung and P.-S. Huang, “Improving the Accuracy of the Leakage Power Estimation of Embedded CPUs,” in Design, Automation & Test in Europe Conference & Exhibition (DATE), Lausanne, Switzerland, 2017.
[22] C.-W. Huang, Y.-A. Chung, P.-S. Huang and S.-L. Tsao, “High-level energy consumption model of embedded graphic processors,” in IEEE International Conference on Digital Signal Processing (DSP), Singapore, 2015.
[23] P.-S. Huang, Q.-C. Chen, C.-W. Huang and S.-L. Tsao, “An Efficient Thermal Estimation Scheme for Microprocessors,” in IEEE 20th International Conference on Embedded and Real-Time Computing Systems and Applications, Chongqing, China, 2014.
[24] C.-H. Wei, R.-G. Cheng and S.-L. Tsao, “Performance Analysis of Group Paging for Machine-Type Communications in LTE Networks,” IEEE Transactions on Vehicular Technology, vol. 62, no. 7, pp. 3371-3382, 2013.
[25] C.-W. Yi, Y.-T. Chuang and C.-S. Nian, “Toward Crowdsourcing-Based Road Pavement Monitoring by Mobile Sensing Technologies,” IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 4, pp. 1905-1917, 2015.
[26] V. Daraghmi, C.-W. Yi and T.-C. Chiang, “Negative Binomial Additive Models for Short-Term Traffic Flow Forecasting in Urban Areas,” IEEE Transactions on Intelligent Transportation Systems, vol. 15, no. 2, pp. 784-793, 2014.
[27] G.-J. Chan, D.-H. Lin, C.-W. Yi and C.-C. Tseng, “A Two-layer Hierarchical Framework for Activity Sequence Recognition by Wearable Sensors,” in 18th Asia-Pacific Network Operations and Management Symposium (APNOMS), Kanazawa, Japan, 2016.
[28] H.-H. Tsai and C.-W. Yi, “Wearable ECG for Tension Assessment in Movie Watching and Adventure Riding,” in 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN), Shenzhen, China, 2015.
[29] C.-C. Chen and W.-H. Peng, “Intra Line Copy for HEVC Screen Content Intra-Picture Prediction,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 7, pp. 1568-1579, 2017.
[30] W.-H. Peng and C.-C. Chen, “An Interframe Prediction Technique Combining Template Matching Prediction and Block-Motion Compensation for High-Efficiency Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 8, pp. 1432-1446, 2013.
[31] Y.-W. Chen and W.-H. Peng, “Parametric OBMC for Pixel-Adaptive Temporal Prediction on Irregular Motion Sampling Grids,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 1, pp. 113-127, 2012.
[32] M. Farach-Colton and M.-T. Tsai, “Exact Sublinear Binomial Sampling,” Algorithmica, vol. 73, no. 4, pp. 637-651, 2015.
[33] M. Farach-Colton and M.-T. Tsai, “On the Complexity of Computing Prime Tables,” in International Symposium on Algorithms and Computation, Nagoya, Japan, 2015.
[34] M. Farach-Colton, T.-S. Hsu, M. Li and M.-T. Tsai, “inding Articulation Points of Large Graphs in Linear Time,” in Workshop on Algorithms and Data Structures, Victoria, BC, Canada, 2015.
[35] P. Afshani, B. A. Bender, M. Farach-Colton, J. T. Fineman, M. Goswami and M.-T. Tsai, “Cross-Referenced Dictionaries and the Limits of Write Optimization,” in 28th Annual ACM-SIAM Symposium on Discrete Algorithms, Barcelona, Spain, 2017.
[36] C.-C. Tseng, J.-Y. Wu and T.-S. Lee, “Enhanced Compressive Downlink CSI Recovery for FDD Massive MIMO Systems Using Weighted Block ℓ1-Minimization,” IEEE Transactions on Communications, vol. 64, no. 3, pp. 1055-1067, 2016.
[37] M.-C. Lee, W.-H. Chung and T.-S. Lee, “BER Analysis for Spatial Modulation in Multicast MIMO Systems,” IEEE Transactions on Communications, vol. 64, no. 7, pp. 2939-2951, 2016.
[38] W.-S. Lai, T.-H. Chang and T.-S. Lee, “Joint Power and Admission Control for Spectral and Energy Efficiency Maximization in Heterogeneous OFDMA Networks,” IEEE Transactions on Wireless Communications, vol. 15, no. 5, pp. 3531-3547, 2016.
[39] M.-C. Lee, W.-H. Chung and T.-S. Lee, “Generalized Precoder Design Formulation and Iterative Algorithm for Spatial Modulation in MIMO Systems With CSIT,” IEEE Transactions on Communications, vol. 63, no. 4, pp. 1230-1244, 2015.
[40] S.-H. Wu, H.-L. Chiu and J.-H. Li, “Effectiveness and Relay Efficiency of Opportunistic Multipoint Relaying on Cooperative ARQ,” IEEE Transactions on Vehicular Technology, vol. 66, no. 6, pp. 4781-4796, 2017.
[41] L.-K. Chiu and S.-H. Wu, “An Effective Approach to Evaluate the Training and Modeling Efficacy in MIMO Time-Varying Fading Channels,” IEEE Transactions on Communications, vol. 63, no. 1, pp. 140-155, 2015.
[42] D.-H. Huang, S.-H. Wu, W.-R. Wu and P.-H. Wang, “Cooperative Radio Source Positioning and Power Map Reconstruction: A Sparse Bayesian Learning Approach,” IEEE Transactions on Vehicular Technology, vol. 64, no. 6, pp. 2318-2332, 2015.
[43] S.-H. Wu, L.-K. Chiu, K.-Y. Lin and T.-H. Chang, “Robust Hybrid Beamforming with Phased Antenna Arrays for Downlink SDMA in Indoor 60 GHz Channels,” IEEE Transactions on Wireless Communications, vol. 12, no. 9, pp. 4542-4557, 2013.

 

 

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