IMPACT Final Conference - NCSR - Character segmentation

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This paper presents a hardware architecture of complex K-best Multiple Input Multiple Output (MIMO) decoder reducing the complexity of Maximum Likelihood (ML) detector. We develop a novel low-power VLSI design of complex K-best decoder for MIMO and 64 QAM modulation scheme. Use of Schnorr-Euchner (SE) enumeration and a new parameter, Rlimit in the design reduce the complexity of calculating K-best nodes to a certain level with increased performance. The total word length of only 16 bits has been adopted for the hardware design limiting the bit error rate (BER) degradation to 0.3 dB with list size, K and Rlimit equal to 4. The proposed VLSI architecture is modeled in Verilog HDL using Xilinx and synthesized using Synopsys Design Vision in 45 nm CMOS technology. According to the synthesize result, it achieves 1090.8 Mbps throughput with power consumption of 782 mW and latency of 0.33 us. The maximum frequency the design proposed is 181.8 MHz.

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Five key components (aspects) of a modern, end-to-end, IoT connected product application network explored in our PT models are: Ethernet LANs, WiFi LANs optical fiber last miles core routing across three tiers of ISPs cloud services in data centers Design involves a process of recognizing affordances (perceived possibilities for action, capabilities) and managing constraints (practical limits on our design desires). For each of the 5 components, list at least 2 affordances and 2 constraints as they impact end users quality of experience. In other words, how does that component afford (enable) a useful (effective) and usable (delightful) user experience, and how does it constrain that experience? Note that "affordances" in design has nothing to do with "affordability" or cost! Use this table structure for your response in the Canvas Rich Text Editor (no upload needed). I did an example row for you. up to 100 meter interconnections with known, set bandwidth, typically 1000 Mbps now comparatively low (but not zero) physical security risk increased security risk many interference possibilities and inconsistent ranges affords a network of networks that can scale to include all countries and billions of users affords resiliency and redundancy by providing multiple paths between many sources and destinations requires costs be paid or peering arrangements be negotiated constrains your applications because at least some latency is encountered and bandwidth is always finite (has some limitations) System ComponentAffords these desirable interactions ....(affordances)Constrains your connected product application in these ways .... (constraints)Ethernet LANs up to 100 meter interconnections with known, set bandwidth, typically 1000 Mbps now comparatively low (but not zero) physical security risk WiFi LANs increased security risk many interference possibilities and inconsistent rangesoptical fiber last mile core routing across 3 tiers of ISPs affords a network of networks that can scale to include all countries and billions of users affords resiliency and redundancy by providing multiple paths between many sources and destinations requires costs be paid or peering arrangements be negotiated constrains your applications because at least some latency is encountered and bandwidth is always finite (has some limitations)cloud services in data centers .

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In recent researches Coding techniques are used in OTDR approach improve Signal-to-Noise Ratio (SNR). For example, the use of simplex coding (S-coding) in conjunction with OTDR can be effectively used to enhance the Signal-to- Noise Ratio (SNR) of the backscattered detected light without sacrificing the spatial resolution; In particular, simplex codes have been demonstrated to be the most efficient among other suitable coding techniques, allowing for a good improvement in SNR even at short code lengths. Coding techniques based on Simplex or Golay codes exploit a set of different sequences (i.e. codes) of short (about 10 ns) NRZ laser pulses to increase the launched energy without impairing the spatial resolution using longer pulse width. However, the required high repetition rate of the laser pulses, hundreds of MHz for meter-scale spatial resolution, is not achievable by high peak power lasers, such as rare-earth doped fibre or passive Q-switched ones, which feature a maximum repetition rate of few hundred kHz. New coding technique, cyclic simplex coding (a subclass of simplex coding), tailored to high-power pulsed lasers has been proposed. The basic idea is to periodically sense the probing fibre with a multi-pulse pattern, the repetition period of which is equal to the fibre round-trip time. This way, the pattern results as a code spread along the whole fibre, with a bit time inversely proportional to the code length. The pulse width can be kept in the order of 10 ns to guarantee a meter-scale spatial resolution and the peak power can be set close to the nonlinear effect threshold.

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Abstract : This paper discusses the methodology for a project named “Speech Recognized Automation System using Speaker Identification through wireless communication”. This project gives the design of Automation system using wireless communication and speaker recognition using Matlab code. Straightforward programming interface of Matlab makes it an ideal tool for speech analysis in project. This automation system is useful for home appliances as well as in industry. This paper discusses the overall design of a wireless automation system which is built and implemented. The speech recognition centers on recognition of speech commands stored in data base of Matlab and it is matched with incoming voice command of speaker. Mel Frequency Cepstral Coefficient (MFCC) algorithm is used to recognize the speech of speaker and to extract features of speech. It uses low-power RF ZigBee transceiver wireless communication modules which are relatively cheap. This automation system is intended to control lights, fans and other electrical appliances in a home or office using speech commands like Light, Fan etc. Further, if security is not big issue then Speech processor is used to control the appliances without speaker identification. Keywords — Automation system, MATLAB code, MFCC, speaker identification, ZigBee transceiver.

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This paper discusses the methodology for a project named “Speech Recognized Automation System using Speaker Identification through wireless communication”. This project gives the design of Automation system using wireless communication and speaker recognition using Matlab code. Straightforward programming interface of Matlab makes it an ideal tool for speech analysis in project. This automation system is useful for home appliances as well as in industry. This paper discusses the overall design of a wireless automation system which is built and implemented. The speech recognition centers on recognition of speech commands stored in data base of Matlab and it is matched with incoming voice command of speaker. Mel Frequency Cepstral Coefficient (MFCC) algorithm is used to recognize the speech of speaker and to extract features of speech. It uses low-power RF ZigBee transceiver wireless communication modules which are relatively cheap. This automation system is intended to control lights, fans and other electrical appliances in a home or office using speech commands like Light, Fan etc. Further, if security is not big issue then Speech processor is used to control the appliances without speaker identification

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