Concurrent Processes Research Articles

Globally consistent response of plant microbiome diversity across hosts and continents to soil nutrients and herbivores

All multicellular organisms host a diverse microbiome composed of microbial pathogens, mutualists, and commensals, and changes in microbiome diversity or composition can alter host fitness and function. Nonetheless, we lack a general understanding of the drivers of microbiome diversity, in part because it is regulated by concurrent processes spanning scales from global to local. Global-scale environmental gradients can determine variation in microbiome diversity among sites, however an individual host’s microbiome also may reflect its local micro-environment. We fill this knowledge gap by experimentally manipulating two potential mediators of plant microbiome diversity (soil nutrient supply and herbivore density) at 23 grassland sites spanning global-scale gradients in soil nutrients, climate, and plant biomass. Here we show that leaf-scale microbiome diversity in unmanipulated plots depended on the total microbiome diversity at each site, which was highest at sites with high soil nutrients and plant biomass. We also found that experimentally adding soil nutrients and excluding herbivores produced concordant results across sites, increasing microbiome diversity by increasing plant biomass, which created a shaded microclimate. This demonstration of consistent responses of microbiome diversity across a wide range of host species and environmental conditions suggests the possibility of a general, predictive understanding of microbiome diversity.

Comparative Studies on Intelligent Swarming Network (iSWAN) Geno-Generative Algorithm and Top-K Query Processing Algorithm

This paper proposed an enhanced Top-k query processing in a real time distributed database system. The system employs a Particle Swarm Optimizer (PSO) based Geno-Generative iSWAN Model technique that enhances and allows multi-task concurrent query processing in a real time co-simulation data acquisition platform and as part of refinement to an existing Top-k query processing Technique. In this paper, the proposed system is compared for efficiency with the Top-K Query Algorithm, which is emerging as an alternative to more conventional technique for real time query processing in distributed databases. Dynamic simulations were performed with a real time small testbed comprising of physical and non-physical devices to test and evaluate the performance and efficiency of the two systems. Considering the estimated and expected temperatures, the result of simulation study proves that the Intelligent Swarming Network (iSWAN) Geno-Generative Model is more preferred over Top-K Query Algorithm due to its 70% accuracy over the Top-K Model, which reported a lower accuracy level of 40%.

“Paperwork is so important!”: processes of literacising in bureaucratic contexts in Benin and Bolivia

In both Bolivia and Benin, the state presumes that citizens can navigate its bureaucracy even if it does not provide them with the requisite literacy skills. However, bureaucratic procedures are highly characterised by literacy and digital literacy and people with little or no literacy require alternative strategies to manage them. This article contributes to debates on (il)literacy and bureaucracy studies by looking at the learning practices of persons with little or no literacy competence in La Paz and El Alto, Bolivia, and Parakou, Benin. It investigates their ways of coping with such bureaucratic requirements and especially how they manage to acquire specific literacy abilities in order to complete procedures. Our conclusions are based on empirical data obtained through various kinds of interviews and participant observation that we carried out during more than 12 months of fieldwork.Our article shows how participants have independently acquired literacy competence on their own to achieve their goals and resolve highly relevant issues. For them, literacy is not so much an end in itself but a means of dealing with the state. During bureaucratic procedures, concurrent processes of illiteracising and literacising, as well as processes of learning and unlearning literacy, take place. We conceptualise and amplify the notion of this learning and unlearning with the terms “literacising” and “illiteracising” as processual and relational. Thus, we interpret literacising in the context and during the experience of bureaucracy as an instrument through which individuals try to affect, cope with and control bureaucratic procedures.

GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database

Multinational enterprises conduct global business that has a demand for geo-distributed transactional databases. Existing state-of-the-art databases adopt a sharded master-follower replication architecture. However, the single-master serving mode incurs massive cross-region writes from clients, and the sharded architecture requires multiple round-trip acknowledgments (e.g., 2PC) to ensure atomicity for cross-shard transactions. These limitations drive us to seek yet another design choice. In this paper, we propose a strongly consistent OLTP database GeoGauss with full replica multi-master architecture. To efficiently merge the updates from different master nodes, we propose a multi-master OCC that unifies data replication and concurrent transaction processing. By leveraging an epoch-based delta state merge rule and the optimistic asynchronous execution, GeoGauss ensures strong consistency with light-coordinated protocol and allows more concurrency with weak isolation, which are sufficient to meet our needs. Our geo-distributed experimental results show that GeoGauss achieves 7.06X higher throughput and 17.41X lower latency than the state-of-the-art geo-distributed database CockroachDB on the TPC-C benchmark.

Structures of abandonment: Gender, statuslessness, and bare life

Abstract This article asks the question: What does the term status mean with regard to women without legal status in Israel? Ostensibly, status represents a sovereign state’s formal classification system. In practice, however—according to the accounts of statusless women, civil society activists, and welfare and health officials, as analyzed in this article—status, or its lack thereof, is not a one-off, absolute condition, but an ephemeral and vulnerable position. This article examines two concurrent processes: the blurring of boundaries between status and statuslessness; and the process of differentiating groups of racialized, undesired, and unwelcomed women foreigners: Palestinian women residents of the Occupied Palestinian Territories; asylum-seeking women from Africa; and women from the Former Soviet Union, who have either been trafficked by the sex industry, or separated from their Israeli-citizen spouse before completing their naturalization. Drawing on feminist and critical race renditions of bare life, we explore the ways in which statusless women are positioned in relation to violent power. Moving away from a polarized and emancipatory discussion of legality, we argue that in the absence of full access to legal status, the body may serve as a more fitting alternative in the analysis of abandonment and violence.

SIMPLE BLOCKCHAIN-BASED E-VOTE APPLICATION

This paper describes a blockchain-enabled e-voting system that uses digital wallets to represent votercredentials, with each voter receiving a single "coin" to cast their vote. The voting process includes steps for voterregistration and identification, as well as the casting of votes using encryption or hashing algorithms. The authors discussvarious methods for voter identification, including the use of private and public key pairs, ID documents, and biometricdata. They also mention the use of the SHA-256 hashing algorithm for added security. The goal of the project is to developa flexible system that can be used in any institution and that guarantees maximum security against fraud. The system isbuilt using Rust, a new experimental programming language developed by Mozilla, and makes use of "task trees" tomanage the voting process. Consideration of various methods for voter identification, including the use of private andpublic key pairs, ID documents, and biometric data, shows a commitment to providing a flexible solution that can beadapted to meet the needs of different institutions and voting scenarios. The use of the SHA-256 hashing algorithm alsoadds an extra layer of security to the system, making it more difficult for malicious actors to manipulate or tamper withthe voting process. The use of Rust and "task trees" to manage the voting process also indicates a focus on developing arobust and efficient system that can handle the complexities of large-scale voting. Rust's emphasis on safety and memorymanagement can help prevent common programming errors that can lead to security vulnerabilities, while task trees canprovide a structured approach to managing multiple concurrent voting processes. Overall, the blockchain-enabled evoting system described in this paper presents an interesting approach to addressing the challenges of secure andtransparent voting processes. However, as with any new technology, it will be important to thoroughly test and evaluatethe system to ensure its reliability and effectiveness before it can be widely adopted

Safer Care for Older Persons in (residential) Environments (SCOPE): a pragmatic controlled trial of a care aide-led quality improvement intervention

BackgroundThe increased complexity of residents and increased needs for care in long-term care (LTC) have not been met with increased staffing. There remains a need to improve the quality of care for residents. Care aides, providers of the bulk of direct care, are well placed to contribute to quality improvement efforts but are often excluded from so doing. This study examined the effect of a facilitation intervention enabling care aides to lead quality improvement efforts and improve the use of evidence-informed best practices. The eventual goal was to improve both the quality of care for older residents in LTC homes and the engagement and empowerment of care aides in leading quality improvement efforts.MethodsIntervention teams participated in a year-long facilitative intervention which supported care aide-led teams to test changes in care provision to residents using a combination of networking and QI education meetings, and quality advisor and senior leader support.This was a controlled trial with random selection of intervention clinical care units matched 1:1 post hoc with control units. The primary outcome, between group change in conceptual research use (CRU), was supplemented by secondary staff- and resident-level outcome measures. A power calculation based upon pilot data effect sizes resulted in a sample size of 25 intervention sites.ResultsThe final sample included 32 intervention care units matched to 32 units in the control group. In an adjusted model, there was no statistically significant difference between intervention and control units for CRU or in secondary staff outcomes. Compared to baseline, resident-adjusted pain scores were statistically significantly reduced (less pain) in the intervention group (p=0.02). The level of resident dependency significantly decreased statistically for residents whose teams addressed mobility (p<0.0001) compared to baseline.ConclusionsThe Safer Care for Older Persons in (residential) Environments (SCOPE) intervention resulted in a smaller change in its primary outcome than initially expected resulting in a study underpowered to detect a difference. These findings should inform sample size calculations of future studies of this nature if using similar outcome measures. This study highlights the problem with measures drawn from current LTC databases to capture change in this population. Importantly, findings from the trial’s concurrent process evaluation provide important insights into interpretation of main trial data, highlight the need for such evaluations of complex trials, and suggest the need to consider more broadly what constitutes “success” in complex interventions.Trial registrationClinicalTrials.gov, NCT03426072, registered August 02, 2018, first participant site April, 05, 2018.

Timed concurrent language for argumentation with maximum parallelism

Abstract The timed concurrent language for argumentation (tcla) is a framework to model concurrent interactions between communicating agents that reason and take decisions through argumentation processes, also taking into account the temporal duration of the performed actions. Time is a crucial factor when dealing with dynamic environments in real-world applications, where agents must act in a coordinated fashion to reach their own goals. However, modelling complex interactions and concurrent processes may be challenging without the help of proper languages and tools. In this paper, we discuss the use of tcla for practical purposes and provide a working implementation of the language, endowed with a user interface available online, that serves the dual purpose of aiding the research in this field and facilitating the development of multi-agent systems based applications.

Assessment of the number of mast cells in the soft palate of dogs affected by brachycephalic obstructive airway syndrome.

Oedema is described in the soft palate of dogs affected by brachycephalic obstructive airway syndrome (BOAS). Activated mast cells (MCs) release vasoactive mediators that temporarily increase vascular permeability. Data and caudal soft palate tissue were prospectively collected from a population of dogs undergoing surgical management of BOAS and a control group of greyhound cadavers with no previous history of respiratory signs. Histological assessment was performed to quantify the number of MCs within the lamina propria of each group. The mean number of MCs in the BOAS group (53 MCs/10 400× high-power fields [HPF]; standard deviation [SD]=23) was significantly greater than that in the greyhound group (24 MCs/10 400×HPF; SD=10). The small size of the control group and the heterogeneous nature of the dogs in the BOAS group limit the generalisability of the findings. The use of different surgical techniques in the BOAS group may have also affected the degree of inflammation present within the samples. The cohort was not screened for concurrent disease processes that could potentially increase the number of circulating MCs. This study demonstrated a statistically significant difference between the numbers of MCs in the soft palate of brachycephalic dogs with clinically significant BOAS and the greyhound control group.

MDSCs: The Key Players in the Formation of Pre-Metastatic Niche.

The distal metastasis of tumor cells is viewed as a series of concurrent processes rather than a linear cascade of events. Accompanied with the progression of the primary tumor, a favorable microenvironment, refered as pre-metastatic niche, has been created in pre-metastatic organs and sites by primary tumors for subsequent metastases. The proposal of "pre-metastatic niche" theory brings fresh insight into our understanding of cancer metastasis. Myeloid-derived suppressor cells (MDSCs) are indispensable for the formation of pre-metastatic niche, which empower the niche to favor tumor cell colonization and promote metastasis. In this review, we aim to provide a comprehensive understanding of the regulation of pre-metastatic niche formation by MDSCs and to conceptualize the framework for understanding the related factors involved in cancer metastasis.

Little Syria, at the Brooklyn Academy of Music

Little Syria, at the Brooklyn Academy of Music Aya Nimer (bio) Omar Offendum's musical show Little Syria nods to the rich history of Brooklyn's Syrian community and is part of a vibrant tradition of Syrian performances at the Brooklyn Academy of Music.1 Offendum highlights this history by centering the rich visual language of shammi (Levantine) design, using mother-of-pearl chairs and gold decor to amplify the narrative style of the show and create a bridge between the audience and the historical titular neighborhood where the show is set. Little Syria, a collaboration with musicians Ronnie Malley, Thanks Joey, and Nano Raies, tells a story of Arabs in American life. By interweaving different narrative and musical techniques, Offendum shines a light on a historic Syrian neighborhood in Manhattan, New York and creates a space for communal healing. Offendum uses multiple cultural touchstones to encapsulate the broader and more intimate histories of Little Syria, creating continuity in the historical narrative of Arabs in the United States. Offendum builds this historical narrative through two concurrent processes. The first is by telling the broader history of Little Syria and Arab immigration in tandem with the intimate histories of people in Little Syria. The second is the use of hakawati, an Arab storytelling tradition that relies on motifs such as allegory, music, and spectacle to tell a story. Offendum uses hakawati as a storytelling practice to interweave our own daily emotional experiences with those of Offendum's historical figures, giving us a parallax view of racism, finding a job, and making money.2 The show begins with a track that outlines the experience of migrating to America through the lyrics "It's time for a new chapter/in this land of opportunity/the promises of rapture and happily ever after/lay behind these golden doors … allow me to explain before you butcher my name/label me unhireable or worse yet undesirable/I'm a man with a heart and a soul on a mission/here to build a better life …" Starting the show with a broad picture of the [End Page 90] Click for larger view View full resolution Figure 1. A snapshot of the stage and setup of Little Syria at the Brooklyn Academy of Music anxieties and emotions associated with immigration creates an aperture for Offendum to take us into the lived experience of a street salesman in Little Syria. The salesman sells his wares near an American soap factory that uses pig lard as a main ingredient. The owner of the factory often ridicules the Syrian salesman by calling him "dirty" and "unhygienic." The salesman thinks the ridicule is ironic considering Syrian soap's reputation as a valuable and potent cleansing agent. This segment animates the daily exchanges that comprised the lives of those living in Little Syria as they encountered racist institutions in their new neighborhood. This intimate history, which visualizes the emotional lives of historical figures, creates a space for us as viewers to reflect on our own experiences with racism. The interweaving of broad and intimate histories through hakawati shows how our emotional lives are intertwined with larger political histories. The musical structure is similarly comprised of two elements interwoven into a distinct style. Thanks Joey began the process of creating the musical soundscape of the show by sampling Arabic songs from the mid-twentieth century, which were then overlaid with Offendum's lyrics and complemented by Ronnie Malley's oud performance. Offendum's [End Page 91] Click for larger view View full resolution Figure 2. A backstage shot of Omar Offendum, Thanks Joey, and Ronnie Malley at the Brooklyn Academy of Music [End Page 92] lyrics, combined with Thanks Joey's beats, create a moment that fuses the historic Arab soundscape of the 1900s with Offendum's contemporary hip hop style. This is further developed in Ronnie's live oud performance. The oud is an instrument with strong cultural associations and memories for many Arab listeners. The nostalgic nature of the oud evokes a soundscape reminiscent of home, another way that Little Syria engages with intimate histories. This soundscape simultaneously feels historic and contemporary, transporting listeners into a liminal world that acknowledges and draws...

On the Unreliability of Network Simulation Results FROM Mininet and iPerf

The networking research community and industry both use the Mininet network simulator to assess new network architectures and predict how new designs will perform. Mininet employs an emulation approach that uses concurrent processes running in a single computer instead of physical hardware. A user specifies a network consisting of network switches, routers, and host computers that have network interface connections and links connecting all the pieces. Mininet creates software artifacts to represent each of the network devices and allows application programs to send packets across the resulting network. Researchers often use the iPerf application to measure network performance. Many research papers report results from Mininet and iPerf and use the results to validate new designs for Software-Defined Networks (SDNs). However, there has been little investigation into the scenarios where these emulations can perform different than intended. The goal of this paper is to understand the edge cases of these emulation methods and understand the severity of these scenarios. This paper reports surprising anomalies in the results of Mininet and iPerf. We show that the choice of apparently valid configuration options can make the reported throughput completely invalid. Our initial discoveries focused on a complex simulation of a data center network. However, we were able to show that Mininet produces completely invalid results for a basic case: network traffic traveling across a single emulated link between two switches with no other network traffic. The paper makes recommendations for ways to configure Mininet to avoid some of the anomalies.

Synaptic Resistor Circuits Based on Al Oxide and Ti Silicide for Concurrent Learning and Signal Processing in Artificial Intelligence Systems.

Neurobiological circuits containing synapses can process signals while learning concurrently in real time. Before an artificial neural network (ANN) can execute a signal-processing program, it must first be programmed by humans or trained with respect to a large and defined data set during learning processes, resulting in significant latency, high power consumption, and poor adaptability to unpredictable changing environments. Inthiswork, a crossbar circuit of synaptic resistors (synstors) is reported, each synstor integrating a Si channel with an Al oxide memory layer and Ti silicide Schottky contacts. Individual synstors are characterized and analyzed to understand their concurrent signal-processing and learning abilities. Without any prior training, synstor circuits concurrently execute signal processing and learning in real time to fly drones toward a target position in an aerodynamically changing environment faster than human controllers, and with learning speed, performance, power consumption, and adaptability to the environment significantly superior to an ANN running on computers. The synstor circuit provides a path to establish power-efficient intelligent systems with real-time learning and adaptability in the capriciously mutable real world.

Deep-Learning-Based Concurrent Resource Allocation Method for Improving the Service Response of 6G Network-in-Box Users in UAV

Network-in-box (NIB) architectures are designed to improve communication information sharing in an ad hoc manner with limited infrastructure support. These architectures are interoperable, and hence it is capable of providing services based on sixth-generation (6G) communication technologies. Resource allocation for massive machine-type communications in the 6G platform aided for NIB architectures is challenging due to the terahertz and high throughput features. Then it comes to resource allocation, and the most difficult part is figuring out what capacity is to check the availability of work on a project is difficult to determine. In this manuscript, the attuned slicing-dependent concurrent resource allocation (AS-CRA) method is formulated for improving the service reliability of the 6G users in NIB architecture. Learning assisted slicing and concurrent resource allocation process is jointly exploited in this proposed method to improve the users’ service reliability. The output of the learning process is useful in classifying resource allocation and user mapping irrespective of the limited NIB infrastructure support. Virtualization and concurrency in resource allocation are balanced based on the user capacity and network blocking rate to achieve optimality in service responses. The performance of the proposed resource allocation method is verified using simulations, and the performance is verified using the metrics capacity 89.726%, latency 81.32%, resource utilization rate 0.963%, response ratio 92.309, and blocking rate 0.047%.

Is the Other-Race Effect in Working Memory Due to Attentional Refreshing?

The other-race effect is the observation that faces from another ethnicity induce worst recall performance than faces from one's own ethnicity. This effect has been defined as a type of familiarity effect, with more familiar faces better recalled than less familiar faces. In this study, we tested the hypothesis that a working memory maintenance mechanism called attentional refreshing mediates the other-race effect and that faces from one's own ethnicity are refreshed more efficiently than faces from other ethnicities. In two experiments, face ethnicity was orthogonally manipulated with cognitive load of a concurrent processing task in a complex-span paradigm (Exp. 1) and with the memory load in a Brown-Peterson paradigm (Exp. 2). Both cognitive and memory load effects are indices of the functioning of attentional refreshing. Testing Caucasian young adults, Caucasian and East-Asian faces were contrasted. Results from both experiments were congruent and against our initial hypothesis. The other-race effect in working memory does not appear to be supported by attentional refreshing. Furthermore, the results are congruent with the idea that faces as a whole are not maintained in working memory via attentional refreshing.

Highly Concurrent TCP Session Connection Management System on FPGA Chip

Transmission Control Protocol (TCP) is a connection-oriented data transmission protocol, and it is also the main communication protocol used for end-to-end data transmission in the current Internet. At present, the mainstream TCP protocol processing service is implemented by software running on the Central Processing Unit (CPU). However, with the rapid growth of transmission bandwidth and the number of connections, the software-based processing method is not ideal in terms of delay and throughput, and also affects the processing performance of the CPU in other applications such as virtualization services. Moreover, other hardware solutions can only support a limited number of TCP session connections. In order to improve the processing efficiency of the TCP protocol and achieve highly concurrent network services, this paper proposes a TCP offload engine (TOE) prototype system based on field programmable gate array (FPGA) chips. It not only provides hardware-based data path processing, but also realizes hardware management of large-scale TCP session connection status through a multi-level cache management mechanism. Studies have shown that this solution can support 100 Gbps high-performance throughput characteristics, and allow concurrent processing of hundreds to 250,000 TCP connection state hardware maintenance on a single network node, improving the overall performance of the network system.

Alien plant colonisation and community homogenisation: cause or consequence? A test in coastal dunes

Evidence of the effects of alien plant colonisation on plant communities is often hindered by the fact that similar patterns in community composition can arise through a variety of processes. The objective of this study is to determine whether changes in species composition in coastal dune communities depend on the colonisation of a neophyte plant, Oenothera stucchii, or on concurrent processes that favour its colonisation. We hypothesised two scenarios: 1) a direct impact of O. stucchii on colonised communities, leading to displacement of native species; or 2) no direct impact of O. stucchii, i.e. the species colonises plant communities by exploiting disturbances that lead to the rearrangement of plant communities. We used the species-habitat network approach to identify potential drivers of changes in species composition, assuming that changes in the structure of the species-habitat network depend on the nature of the driving process. We demonstrated that changes in species composition in plant communities were due to species rearrangement, with colonised communities characterised by more homogeneous composition of species. We suggest that changes in plant communities may not depend on colonisation by O. stucchii per se, but on concomitant processes that affect coastal dune communities while promoting colonisation by O. stucchii.

Computational methods to increase the speed of FPGA-based discrete wavelet transforms

The article considers the computational methods and features of the construction of a complex functional block for the implementation of the discrete wavelet transform (DWT) Dobeshie 9/7 in digital image signal processing systems based on FPGA. We proposed a mathematical model and algorithms for the implementation of parallel and series-convector methods of signal processing to calculate the coefficients of a discrete bi-orthogonal Dobeshie wavelet 9/7 taking into account the architecture of used FPGA. The model is based on wavelet transform factorization methods using lifting schemes. In contrast to conventional lifting schemes, the proposed method and algorithms can increase the speed of FPGA calculations with simplified hardware implementation. CAD Quartus II and ModelSim are used as a development environment. The behavioral model is written in Verilog HDL. Altera Cyclone® IV 4CE115 was used as FPGA. On the basis of the obtained behavioral model the testing module was developed and the simulation of digital circuit in the ModelSim environment was carried out. The formula for estimating the number of clock cycles of the forward and reverse DWT has been proposed; on its basis the estimate of the number of parallel computations depending on the number of input elements and the characteristics of the FPGA was obtained. As a result of experiments the dependences of the number of cycles for DWT computation depending on the size of the side of a square image with different variants of the number of parallel processing blocks were obtained. It is shown that parallel work of several independent modules gives a possibility to conduct concurrent processing of several input columns (rows) from input 2D array, and unification of the multiplier-summing module allows to increase efficiency of calculations and to reduce volume of occupied hardware resources. Conveyor based DWT structure is characterized by less hardware costs in terms of implementation of the calculator unit and memory allocation. As a result of testing the digital circuit, it was found that the developed block structure can significantly increase the DWT speed as well as reduce the cost of the system on a chip. The proposed realization of the block of two-dimensional forward and reverse wavelet transform for the Dobeshi 9/7 filter bank forms a complete module and can be used as a ready-made complex functional block for further development of high quality image transmission systems in real time.

Is variability in working memory capacity related to differences in the reactivation of memory traces? Atest based on the time-based resource sharing (TBRS) model.

Working memory performance depends on reactivating memory traces, by rapidly switching between refreshing item representations and performing concurrent cognitive processing (time-based resource sharing (TBRS) account). Prior research has suggested that variation in the effectiveness of this process could be a plausible source of developmental changes in working memory capacity. This could conceivably extend to adults, potentially bridging the barrier between developmental and adult experimental research and providing a possible functional role for attention control and processing speed in working memory tasks. The present work was designed to replicate the finding of developmental differences in reactivation in children, and to test whether the same process could be related to individual differences in adults. Experiment 1 confirmed the finding of more effective reactivation for 14-year-old children than for 8-year-old children. Experiment 2 using the same task in adults manipulated the feasibility of reactivation within an experimental-correlational approach, and failed to find more effective reactivation for individuals with high working memory capacity, contrary to our predictions. Overall, our results support the role of reactivation as defined by the TBRS model as an important process in working memory tasks, and as a possible source of developmental increase in working memory capacity; however, they rule out the possibility that adult individual differences in the effectiveness of this process are a major cause of variability in working memory capacity, suggesting that differences between adults are of a different nature.

Class Brain Coprocessor based on Neuromorphic Circuit for Efficient Non-Formalization and Unstructured Information Processing

Class brain coprocessor is a type of coprocessor based on neuromorphic circuits that includes a memory module for storing training characteristics information, a processing module based on a hierarchical structure, and an encoder and decoder for input and output. This research proposes a memory module with a training characteristics storehouse and/or configurable training characteristics storehouse, and a processing module with a solidification functional network module and/or configurable functionality mixed-media network modules, which enhances the extended capability of the coprocessor. The proposed coprocessor employs distributed storage and concurrent collaborative processing, making it particularly suitable for handling non-formalization problems and unstructured information, as well as form problems and structured messages. The results show that this coprocessor significantly accelerates the speed of computers in processing class brain,informationificial intelligence, and reduces energy consumption while improving fault-tolerant ability, reducing programming complexity, and improving computing power.