By Kwang-hyun Cho, Dongho Kim (auth.), Geuk Lee, Daniel Howard, Dominik Ślęzak, You Sik Hong (eds.)
This ebook constitutes the refereed complaints of the sixth foreign convention on Convergence and Hybrid details expertise, ICHIT 2012, held in Daejeon, Korea, in August 2012. The 102 revised complete papers awarded have been rigorously reviewed and chosen from 196 submissions. The papers are equipped in topical sections on communications and networking; tender computing and clever platforms; clinical details and bioinformatics; safety and security platforms; HCI and knowledge mining; software program and engineering; snapshot processing and development reputation; robotics and RFID applied sciences; convergence in info know-how; workshop on complex shrewdpermanent convergence (IWASC).
Read or Download Convergence and Hybrid Information Technology: 6th International Conference, ICHIT 2012, Daejeon, Korea, August 23-25, 2012. Proceedings PDF
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Additional resources for Convergence and Hybrid Information Technology: 6th International Conference, ICHIT 2012, Daejeon, Korea, August 23-25, 2012. Proceedings
Fig. 1. Multi-band receiver structure with sub-sampling and TDM Two signals are received through one antenna. After amplification of received signals in LNA, each signal passes through RF filter. After BPF, each signal is sampled in time. The sampling frequency is smaller than Nyquist rate but larger than signal bandwidth of twice like figure 1. At this point, TDM and Sub-Sampling is processed at the same time. After ADC, each band sampling frequency is 110MHz. Synchronization Control and Compensation of STO and CFO by Sub-Sampling Method 39 And using digital oscillator the center frequency of converted signal is moved to DC.
The algorithm was successfully implemented and tested by shell-script, produced accurate results. In the same network complexity, simultaneous model had less time consumption than the non-simultaneous model. Further works will be testing program on the real network environment and developing DRW for other applications. A New Algorithm for Network Topology Determination Using DRW 31 References 1. : Sóng đệ quy phân tán, Tuyển tập các bài báo khoa học. Hội nghị khoa học lần thứ 20, Đại học Bách Khoa Hà Nội, pp.
Whats more, by assigning diﬀerent weight on delay and energy, a trade-oﬀ between endto-end latency and network lifetime will be achieved. To avoid hotspot in the network, the randomization in selection of nexthops is also utilized such that, based on the weight assignment, nexthops with lower delays (or less used energy) have higher probability to be chosen, while candidates with high delay (or high used energy level) are also taken care of. Our simulation result show that the proposed routing metric can extend network lifetime up to 3%.