scholarly journals Downlink Connection Density Maximization for NB-IoT Networks using NOMA with Perfect and Partial CSI

Author(s):  
Shashwat Mishra ◽  
Lou Salaun ◽  
Chi Wan Sung ◽  
Chung Shue Chen
Keyword(s):  
Author(s):  
M. Atif Yaqub ◽  
Keum-Shik Hong ◽  
Amad Zafar ◽  
Chang-Seok Kim

Transcranial direct current stimulation (tDCS) has been shown to create neuroplasticity in healthy and diseased populations. The control of stimulation duration by providing real-time brain state feedback using neuroimaging is a topic of great interest. This study presents the feasibility of a closed-loop modulation for the targeted functional network in the prefrontal cortex. We hypothesize that we cannot improve the brain state further after reaching a specific state during a stimulation therapy session. A high-definition tDCS of 1[Formula: see text]mA arranged in a ring configuration was applied at the targeted right prefrontal cortex of 15 healthy male subjects for 10[Formula: see text]min. Functional near-infrared spectroscopy was used to monitor hemoglobin chromophores during the stimulation period continuously. The correlation matrices obtained from filtered oxyhemoglobin were binarized to form subnetworks of short- and long-range connections. The connectivity in all subnetworks was analyzed individually using a new quantification measure of connectivity percentage based on the correlation matrix. The short-range network in the stimulated hemisphere showed increased connectivity in the initial stimulation phase. However, the increase in connection density reduced significantly after 6[Formula: see text]min of stimulation. The short-range network of the left hemisphere and the long-range network gradually increased throughout the stimulation period. The connectivity percentage measure showed a similar response with network theory parameters. The connectivity percentage and network theory metrics represent the brain state during the stimulation therapy. The results from the network theory metrics, including degree centrality, efficiency, and connection density, support our hypothesis and provide a guideline for feedback on the brain state. The proposed neuro-feedback scheme is feasible to control the stimulation duration to avoid overdosage.


2010 ◽  
Vol 2010 (DPC) ◽  
pp. 000759-000773
Author(s):  
Jianwen Han ◽  
Xuan Lin ◽  
Yun Zhang ◽  
Joseph Aby ◽  
Thierry Mourier

Through Silicon Vias (TSVs) promise to provide shorter interconnect length and higher electrical connection density with reduced signal delay and power consumption for both multichip interconnection and packaging. To achieve void free electrolytic TSV gapfill, continuous seed is critical. While the TSV dimension scales down and the aspect ratio increases, continuous Cu seed coverage is harder to achieve by conventional PVD process. Giving the conformal nature of electrochemical process, direct electrolytic Cu deposition on barrier is an alternative to enable continuous seed coverage. The challenges for direct wet seed are: (1) the barrier layer, typically TiN and TaNx, is too resistive to achieve uniform thickness distribution by conventional copper plating processes. (2) the nucleation of copper on barrier oxides is difficult and the copper growth is dendritic. Designed for direct seeding on barriers, a novel chemistry has been developed. This alkaline (pH 9~10) bath has been demonstrated with TSV wafers with different barriers including Ta, TaNx, Ti, TiN. The process has shown to provide high nucleation density (10Exp11~10Exp12 nuclei/cm2) and continuous seed coverage can be achieved between 10 and 25nm thickness on most barriers. The deposition takes place at very negative plating potential while the current efficiency is maintained at >90%. The strong polarization enables in-situ barrier oxide reduction for some barriers, and pretreatment becomes not necessary. Elimination of oxides along with high nucleation density significantly enhanced the bonding strength between copper and barriers. The wet seed on all barriers including Ta, TaNx, Ti, TiN has passed ASTM D3359 cross-cut tape test. Electrolytic TSV gapfill on the wet seed is demonstrated for patterned TiN barrier TSV wafer. Void-free fills are achieved for the features with dimensions between 20 and 200 microns. In summary, the novel chemistry for direct copper wet seed deposition on barriers has been demonstrated to yield high nucleation density and uniform seed distribution with adequate adhesion, and the wet seed enables subsequent void free TSV gapfill.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Sisi Dong ◽  
Liangqun Qi

The servitization of construction enterprises based on value chain integration means that construction enterprises use prefabricated buildings and combine advantageous resources to integrate preconstruction feasibility analysis, investment and financing services, design, etc., and postconstruction decoration, operation and maintenance, and waste disposal. This article takes the equipment-manufacturing industry as the research object, and based on the analysis of the service-based value chain integration process, it puts forward research hypotheses, constructs research models, and conducts data simulation research to explore how the equipment-manufacturing industry can realize the logic of industrial value through service reintegration and optimization reveal the changing laws and key influencing factors of the equipment-manufacturing industry’s value-added capabilities during this process. The results show that the industrial connection density, service element embedding methods, and knowledge absorption capacity have a significant impact on the value-added ability of the equipment-manufacturing industry during the integration process. The increase in industrial connection density promotes the enhancement of value-added capabilities, and it is significant at the initial stage and then weakened. Both the input-side and output-side service element embedding can affect the value-added ability, but the effects of the two are different. The improvement of knowledge absorptive capacity can promote the occurrence of service innovation, thereby enhancing the value-added capacity of the equipment-manufacturing industry.


2017 ◽  
Vol 15 ◽  
pp. 315-324 ◽  
Author(s):  
Briguita Malagurski ◽  
Patrice Péran ◽  
Benjamine Sarton ◽  
Beatrice Riu ◽  
Leslie Gonzalez ◽  
...  

2017 ◽  
Vol 29 (5) ◽  
pp. 1375-1405 ◽  
Author(s):  
Marcelo Matheus Gauy ◽  
Florian Meier ◽  
Angelika Steger

The connection density of nearby neurons in the cortex has been observed to be around 0.1, whereas the longer-range connections are present with much sparser density (Kalisman, Silberberg, & Markram, 2005 ). We propose a memory association model that qualitatively explains these empirical observations. The model we consider is a multiassociative, sparse, Willshaw-like model consisting of binary threshold neurons and binary synapses. It uses recurrent synapses for iterative retrieval of stored memories. We quantify the usefulness of recurrent synapses by simulating the model for small network sizes and by doing a precise mathematical analysis for large network sizes. Given the network parameters, we can determine the precise values of recurrent and afferent synapse densities that optimize the storage capacity of the network. If the network size is like that of a cortical column, then the predicted optimal recurrent density lies in a range that is compatible with biological measurements. Furthermore, we show that our model is able to surpass the standard Willshaw model in the multiassociative case if the information capacity is normalized per strong synapse or per bits required to store the model, as considered in Knoblauch, Palm, and Sommer ( 2010 ).


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