Small Server Research Articles

Exploring the impact of network depth on 3D U-Net-based dose prediction for cervical cancer radiotherapy.

The 3D U-Net deep neural network structure is widely employed for dose prediction in radiotherapy. However, the attention to the network depth and its impact on the accuracy and robustness of dose prediction remains inadequate. 92 cervical cancer patients who underwent Volumetric Modulated Arc Therapy (VMAT) are geometrically augmented to investigate the effects of network depth on dose prediction by training and testing three different 3D U-Net structures with depths of 3, 4, and 5. For planning target volume (PTV), the differences between predicted and true values of D98, D99, and Homogeneity were statistically 1.00 ± 0.23, 0.32 ± 0.72, and -0.02 ± 0.02 for the model with a depth of 5, respectively. Compared to the other two models, these parameters were also better. For most of the organs at risk, the mean and maximum differences between the predicted values and the true values for the model with a depth of 5 were better than for the other two models. The results reveal that the network model with a depth of 5 exhibits superior performance, albeit at the expense of the longest training time and maximum computational memory in the three models. A small server with two NVIDIA GeForce RTX 3090 GPUs with 24 G of memory was employed for this training. For the 3D U-Net model with a depth of more than 5 cannot be supported due to insufficient training memory, the 3D U-Net neural network with a depth of 5 is the commonly used and optimal choice for small servers.

Dimensional database to support water resources decisions

This paper aims to demonstrate that the dimensional database model has great potential for use in water resources due to its generalization in the input and output of data and facilitates the aggregation of data for information generation. In addition, the proposed model was applied to PostgreSQL software, which is a powerful and free database engine, as it does not generate license costs for its implementation and can be even implemented in small server environments, the model is capable of performing complex queries on huge databases (billions of data) with very fast response times, reaching speeds in excess of 300,000 processed data per second. As a consequence of being generic, high performing and its low cost, so, the same methodology was applied to the monitoring module of the PCJ Basin Decision Support System (SSDPCJ), which has the function of disseminating data from the telemetry monitoring stations and it can be replicated for other cases that need to store and disseminate information on water resources.

Gradually structured data

Dynamically-typed languages offer easy interaction with ad hoc data such as JSON and S-expressions; statically-typed languages offer powerful tools for working with structured data, notably algebraic datatypes , which are a core feature of typed languages both functional and otherwise. Gradual typing aims to reconcile dynamic and static typing smoothly. The gradual typing literature has extensively focused on the computational aspect of types, such as type safety, effects, noninterference, or parametricity, but the application of graduality to data structuring mechanisms has been much less explored. While row polymorphism and set-theoretic types have been studied in the context of gradual typing, algebraic datatypes in particular have not, which is surprising considering their wide use in practice. We develop, formalize, and prototype a novel approach to gradually structured data with algebraic datatypes. Gradually structured data bridges the gap between traditional algebraic datatypes and flexible data management mechanisms such as tagged data in dynamic languages, or polymorphic variants in OCaml. We illustrate the key ideas of gradual algebraic datatypes through the evolution of a small server application from dynamic to progressively more static checking, formalize a core functional language with gradually structured data, and establish its metatheory, including the gradual guarantees.

Application Analysis of Virtualization Technology Based on General Server Small Cell

With the growth of mobile communication data volume, as an infrastructure server, its performance and system reliability have become the bottleneck in the entire physical architecture. The purpose of this paper is to study the application analysis of virtualization technology based on general server small base stations. Through the transformation and upgrading of small server base stations. Improve the performance of the system through virtualization technology; use cluster technology to solve the single point problem of equipment and achieve high availability of business. This article uses IBM’s dynamic Lpar virtualization technology to adjust the system resources of different partitions to improve system performance according to the different peak load times of the partitions. Then use the PowerHA cluster principle to establish a cluster on the AIX operating system between different hosts to solve all problems. Single point of partition problem. This article also clarifies the basis for server virtualization needs. Using VMware vSphere-related components to realize the virtualization of the server on the campus. Solutions are also provided for the network and storage used in the virtualization process. This article gives an in-depth introduction to its server virtualization storage capacity, memory conditions, CPU performance and internal configuration, and develops a virtualization service system, which enhances the scalability of the application environment, strengthens the configuration of application services, the utilization efficiency of various resources of the server is improved, and the energy consumption cost of the computer room is reduced. Research shows that this article uses PoweHA to achieve high availability of system partitions, and the switching between servers can be controlled within 2 minutes, which greatly improves the high availability of the system.

Auto Visual AFP Detection and Response (AVADAR) Improved Polio Surveillance in Lake Chad Polio Outbreak Priority Districts.

PreambleThe Auto Visual AFP Detection and Response (AVADAR) is a community-based digital platform that deals with the collection and distribution of real-time information. AVADAR makes it possible to report suspected cases of paralysis in the field at the central level.Once a suspected Acute Flaccid Paralysis (AFP) case is detected, a series of reports are sent to the following stakeholders: the nearest training officer, the district focal point, the district AVADAR team, the regional focal point, the central level of the Ministry of Health (MoH) and World Health Organization Country Office (WCO) by SMS and email. The health worker will go to the field to join the community informant who notified the case for a clinical investigation. At the end of this investigation, the health worker via a smartphone will submit an investigation report validating or invalidating the suspected case notified as a true case of AFP or False case.A small server called a gateway is positioned at the central level to ensure the information link between community informants and health workers in each district.A large server is placed in Geneva at Novel-T which allows all countries to connect and view the data in real time.The geolocation of all alerts and investigations of AFP cases is the cornerstone of AVADAR data

QFit 3: Protein and ligand multiconformer modeling for X-ray crystallographic and single-particle cryo-EM density maps.

New X-ray crystallography and cryo-electron microscopy (cryo-EM) approaches yield vast amounts of structural data from dynamic proteins and their complexes. Modeling the full conformational ensemble can provide important biological insights, but identifying and modeling an internally consistent set of alternate conformations remains a formidable challenge. qFit efficiently automates this process by generating a parsimonious multiconformer model. We refactored qFit from a distributed application into software that runs efficiently on a small server, desktop, or laptop. We describe the new qFit 3 software and provide some examples. qFit 3 is open-source under the MIT license, and is available at https://github.com/ExcitedStates/qfit-3.0.

An Efficient Two-Factor Authentication Scheme Based on the Merkle Tree.

The Time-based One-Time Password (TOTP) algorithm is commonly used for two-factor authentication. In this algorithm, a shared secret is used to derive a One-Time Password (OTP). However, in TOTP, the client and the server need to agree on a shared secret (i.e., a key). As a consequence, an adversary can construct an OTP through the compromised key if the server is hacked. To solve this problem, Kogan et al. proposed T/Key, an OTP algorithm based on a hash chain. However, the efficiency of OTP generation and verification is low in T/Key. In this article, we propose a novel and efficient Merkle tree-based One-Time Password (MOTP) algorithm to overcome such limitations. Compared to T/Key, this proposal reduces the number of hash operations to generate and verify the OTP, at the cost of small server storage and tolerable client storage. Experimental analysis and security evaluation show that MOTP can resist leakage attacks against the server and bring a tiny delay to two-factor authentication and verification time.

Alarm Sound Propagation Characteristics of Gas Extinguishing System Installed in Computer Server Room

Gas extinguishing systems are used for fire protection in server rooms and data centers. In the fire safety standards (NFSC 106, 107) of gas extinguishing systems (carbon dioxide, halon, and clean agent extinguishing system), sound alarm devices are installed in each protected area to provide an effective warning to personnel in the protected area or areas with objects to be protected. By measuring the noise level generated in a small server room, it was found that more than 70 dB of noise was generated. Therefore, to effectively transmit alarm sound to workers in all areas within the protection area, such as a server room, an acoustic alarm device must be designed and installed so that an alarm sound is transmitted at a level of 15 dB or higher than the noise level generated by equipment installed in the facility. As a result of predicting the alarm sound through the room acoustic simulation for a small server room equipped with an acoustic alarm system in a cabinet-type gas extinguishing system, it was found that it was insufficient in effectively delivering an alarm sound to the entire protection area. To effectively transmit an alarm sound inside the protection area where a gas extinguishing system is installed, the output of the alarm device needs to be increased and the room acoustic parameters should be predicted in advance using room acoustic prediction techniques and actively adjusting the acoustics according to the noise generated inside the protection area. Additionally, the distance between alarm devices needs to be shortened to deliver sufficient alarm volume throughout the protection area, and it is necessary to establish specific standards for this.

HPDM: A Survey Paper

This survey reviews several approaches of HPDM from many research groups world wide. Modern computer hardware supports the development of high-performance applications for data analysis on many different levels. The focus is on modern multi-core processors built into today's commodity computers, which are typically found at university institutes both as small server and workstation computers. So they are deliberately not high-performance computers. Modern multi-core processors consist of several (2 to over 100) computer cores, which work independently of each other according to the principle of instruction multiple data'' (MIMD). They have a common main memory (shared memory). Each of these computer cores has several (2-16) arithmetic-logic units, which can simultaneously carry out the same arithmetic operation on several data in a vector-like manner (single instruction multiple data, SIMD). HPDM algorithms must use both types of parallelism (SIMD and MIMD), with access to the main memory (centralized component) being the main barrier to increased efficiency.

Prediction and experimental confirmation of banana bract mosaic virus encoding miRNAs and their targets

BackgroundPotyviridae is the largest plant infecting family under the monophyletic group Riboviria, infects many of the food, fodder and ornamental crops. Due to the higher mutation and recombination rate, potyvirids are evolving rapidly, adapting to the environmental chaos and expanding their hosts. Virus control measures are need to be updated as the economic importance of potyvirids is massive. microRNAs (miRNAs) are well known for their functional importance in eukaryotes and many viruses. Regardless of its biogenesis, whether canonical or noncanonical, microRNA centric antivirus approaches attract the researchers to the hopeful future of next-generation broad-spectrum antiviral measures.MethodsIn this study, we predicted and screened banana bract mosaic virus (BBrMV) encoding miRNAs by computation approaches and their targets on banana transcriptome using plant small RNA target analysis server (psRNAtarget). The target gene functions were annotated by Blast2GO. The predicted BBrMV miRNAs were experimentally screened by stem-loop RT-PCR.ResultsThe results showed that, among the predicted BBrMV miRNAs, miRNA2 is conserved throughout BBrMV isolates and has multiple virus-specific target transcripts. In addition, primary experimental validation for the predicted miRNAs revealed that miRNA2 exists in the BBrMV infected banana leaf samples.ConclusionsThe existence of BBrMV miRNA2 is confirmed by stem-loop RT-PCR followed by cloning and sequencing. The presence of miRNA of Potyviridae is rarely addressed and would definitely spread the hope to understand the virus infectious cycle. Our report would also help to better understand and manipulate potyviral infections.

Study of aerodynamics of stream flow in server rooms using numerical modeling

This paper analyzes various schemes of air exchange in server rooms. Top-down and down-top vertical cooling schemes for small server rooms using local AC systems were analyzed. Numerical models were developed for the study of heat and mass transfer and server aerodynamics, which make it possible to evaluate the cooling efficiency of electronic equipment when placed in an arbitrary configuration. To study the thermal and velocity fields, numerical simulation of the stream flow processes was performed using the FlowVision software. This paper shows the advantage of the selected air-conditioning scheme compared to the existing ventilation system. Modeling results may be used for designing small server rooms.

Mudança organizacional e as reações dos servidores após a implantação do REUNI

O principal objetivo deste estudo foi identificar e analisar as reações dos servidores às mudanças ocorridas pela implantação do REUNI em uma universidade federal. Após 10 anos de inicio da implantação do Programa de Reestruturação e Expansão das Universidades Federais (REUNI), muitas mudanças ainda se percebem em curso nestas instituições. A fim de alcançar tal objetivo foi realizado um estudo de caso em uma Universidade Federal que, com o advento do REUNI, transformou sua escola técnica vinculada em campus universitário. Os dados foram coletados por meio de 61 questionários e 14entrevistas semiestruturadas com servidores pertencentes ao quadro funcional de antes da mudança ocorrida. As análises foram por estatística descritiva e análise de conteúdo. Os resultados indicaram que as mudanças ocorreram nas perspectivas apontadas por Motta (2001): estratégica, estrutural, tecnológica, humana, cultural e política. Não existiu uma comunicação eficiente por parte dos gestores da mudança, e também houve participação pequena do servidor no planejamento. Não se observaram resistências ativas durante o processo de mudança diante do contexto apresentado, mas sim a aceitação à mudança por parte dos servidores pesquisados.

Scalable streaming tools for analyzing N-body simulations: Finding halos and investigating excursion sets in one pass

Cosmological $N$-body simulations play a vital role in studying models for the evolution of the Universe. To compare to observations and make a scientific inference, statistic analysis on large simulation datasets, e.g., finding halos, obtaining multi-point correlation functions, is crucial. However, traditional in-memory methods for these tasks do not scale to the datasets that are forbiddingly large in modern simulations. Our prior paper proposes memory-efficient streaming algorithms that can find the largest halos in a simulation with up to $10^9$ particles on a small server or desktop. However, this approach fails when directly scaling to larger datasets. This paper presents a robust streaming tool that leverages state-of-the-art techniques on GPU boosting, sampling, and parallel I/O, to significantly improve performance and scalability. Our rigorous analysis of the sketch parameters improves the previous results from finding the centers of the $10^3$ largest halos to $\sim 10^4-10^5$, and reveals the trade-offs between memory, running time and number of halos. Our experiments show that our tool can scale to datasets with up to $\sim 10^{12}$ particles while using less than an hour of running time on a single GPU Nvidia GTX 1080.

B2B2C Platform of National Featured Agricultural Products Design Based on iOS

With developing of e-commerce mode, most e-commerce platform only support Chinese browsing interface however development of minority language browsing interface in e-commerce development is neglected. This paper constructed static multilingual approach based on iOS B2B2C e-commerce platform of the Web client system, established a connection between the database and B2B2C platform by database technology. Completing the national featured agricultural products displaying, searching, inquiry, trading, and other functions on iOS e-commerce platform. Through testing on small server website, the Web client system has certain development value and practical value. With the high-speed development of e-commerce, author believes that the platform design achievement will be used widely in the ethnic minority areas.

Robust and rapid algorithms facilitate large-scale whole genome sequencing downstream analysis in an integrative framework.

Whole genome sequencing (WGS) is a promising strategy to unravel variants or genes responsible for human diseases and traits. However, there is a lack of robust platforms for a comprehensive downstream analysis. In the present study, we first proposed three novel algorithms, sequence gap-filled gene feature annotation, bit-block encoded genotypes and sectional fast access to text lines to address three fundamental problems. The three algorithms then formed the infrastructure of a robust parallel computing framework, KGGSeq, for integrating downstream analysis functions for whole genome sequencing data. KGGSeq has been equipped with a comprehensive set of analysis functions for quality control, filtration, annotation, pathogenic prediction and statistical tests. In the tests with whole genome sequencing data from 1000 Genomes Project, KGGSeq annotated several thousand more reliable non-synonymous variants than other widely used tools (e.g. ANNOVAR and SNPEff). It took only around half an hour on a small server with 10 CPUs to access genotypes of ∼60 million variants of 2504 subjects, while a popular alternative tool required around one day. KGGSeq's bit-block genotype format used 1.5% or less space to flexibly represent phased or unphased genotypes with multiple alleles and achieved a speed of over 1000 times faster to calculate genotypic correlation.

Design and Implementation of a Small Server Room Environment Monitoring System by Using the Arduino

Design and Implementation of a Small Server Room Environment Monitoring System by Using the Arduino

Development of HTTP Server for Remote Data Monitoring and Recording System

This paper focuses on development of remote data monitoring and recording system in industries. Now a days we are using many Networked embedded systems for monitoring and control the home or industrial devices.These low cost devices are capable of reporting and receiving information in just the same way that computers on a network. The advent of Internet communication standard, TCP/IP, offers significant potential in terms of remote monitoring and management of construction sites using embedded systems. In this paper the design method of low cost system of remote data monitoring, and recording is designed based on ARM. For this a small HTTP SERVER is built in LPC2148 and it is connected with the remote monitoring terminal through Ethernet. The data can be stored in the SD Card via SPI interface. At the same time, for the sake of the versatility, the FAT file system is built in the SD Card. So, an Ethernet-enabled remote data monitoring system with the ability of data recording is built. This design is having advantage of cost-effective, easily realized, stable and reliable transmission. It can be connected to the INTERNET or LAN through TCP/IP protocol. FreeRTOS is used as an operating system running on ARM processor, an industrial grade RTOS for hard time applications. By this design the data is sent without a PC and system favour’s large scale data acquisition system.

Telemetry Systems

Telemetry Systems

Computational prediction and experimental verification of miRNAs in Panicum miliaceum L.

MicroRNAs (miRNAs) are a class of non-coding RNAs that play critical roles in post-transcriptional regulation. Their target genes are involved in a variety of biological processes such as development, metabolism, and stress response. Panicum miliaceum L. (Panicum) is an important grain crop, but, until now, no miRNAs have been identified in this plant. Using a homology search based on expressed sequence tag (EST) analysis and miRNA precursor secondary structure, a total of 43 new miRNAs were identified. The miRNAs were found to be unevenly distributed among 11 miRNA families. Target analysis using the plant small RNA target analysis server psRNATarget showed that the newly identified miRNAs can potentially regulate 68 target genes. Ten of the 11 miRNA families were annotated as involved in RNA regulation, suggesting they may play an essential role in post-transcriptional regulation in Panicum. Selected miRNAs representing eight of the families were verified by northern blotting, indicating that the prediction method that we used to identify the miRNAs was effective.

Business Model Generation * Windows Small Business Server 2011 Administrator's Companion * Prince2 in Plain English * Lifehacker: The Guide to Working Smarter, Faster, and Better (3rd ed) * Nursing Informatics and the Foundation of Knowledge (2nd ed) * Introduction to the ISO/IEC 20000 Series. IT Service Management

Business Model Generation * Windows Small Business Server 2011 Administrator's Companion * Prince2 in Plain English * Lifehacker: The Guide to Working Smarter, Faster, and Better (3rd ed) * Nursing Informatics and the Foundation of Knowledge (2nd ed) * Introduction to the ISO/IEC 20000 Series. IT Service Management