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Volume 5, Issue 4最新文献

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Image-Based Animal Detection and Breed Identification Using NeuralNetworks 基于图像的动物检测和品种识别的神经网络
Pub Date : 2020-10-12 DOI: 10.46243/jst.2020.v5.i5.pp130-134
Having accurate, detailed, and up-to-date information about the behaviour of animals in the wild world wouldimprove our ability to study and conserve ecosystems. We investigate the ability to automatically, accurately, and inexpensivelycollect such data through various sources, which could help catalyse the transformation of many fields of ecology, wildlifebiology, zoology, conservation biology, animal behaviour into “big data” sciences and many more. So extracting informationfrom the pictures remains an expensive, time-consuming, and manual task for us. We demonstrate that such information can beautomatically extracted by deep learning and convolutional neural network. Leveraging on recent advances in deep learningtechniques in computer vision, we propose in this project a framework to build automated animal recognition in the wild,aiming at an automated wildlife monitoring system. In particular, we use a single-labelled dataset done by citizen scientists,and the state-of-the-art deep convolutional neural network architectures, face biometrics, to train a computational systemcapable of filtering animal images and identifying species automatically and counting the number of species. Our resultssuggest that deep learning could enable the inexpensive, unobtrusive, high-volume, and even real-time collection of a wealth ofinformation about vast numbers of animals in the wild and this, in turn, can, therefore, speed up research findings, constructmore efficient citizen science-based monitoring systems and subsequent management decisions, having the potential to makesignificant impacts to the world of ecology and trap camera images analysis .
拥有关于野生动物行为的准确、详细和最新的信息将提高我们研究和保护生态系统的能力。我们研究通过各种来源自动、准确、廉价地收集这些数据的能力,这将有助于促进生态学、野生动物生物学、动物学、保护生物学、动物行为等许多领域向“大数据”科学的转变。因此,从图片中提取信息对我们来说仍然是一项昂贵、耗时和手动的任务。我们证明了这些信息可以通过深度学习和卷积神经网络自动提取。利用计算机视觉中深度学习技术的最新进展,我们在本项目中提出了一个框架,用于在野外建立自动动物识别,旨在实现自动野生动物监测系统。特别是,我们使用由公民科学家完成的单标签数据集,以及最先进的深度卷积神经网络架构,面部生物识别技术,来训练能够过滤动物图像并自动识别物种并计算物种数量的计算系统。我们的研究结果表明,深度学习可以实现廉价、不显眼、大批量甚至实时收集大量野生动物的信息,从而可以加快研究成果,构建更有效的基于公民科学的监测系统和随后的管理决策,有可能对生态世界和陷阱相机图像分析产生重大影响。
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引用次数: 2
Formulation, Development and Evaluation of Topiramate LoadedNiosomes for the Treatment of Epilepsy 托吡酯负载小体治疗癫痫的处方、开发和评价
Pub Date : 2020-10-12 DOI: 10.46243/jst.2020.v5.i5.pp119-129
Topiramate (TPM) is an anti-epileptic drug used in the treatment of epilepsy and seizures. The study wasdesigned with three aims. First, to enhance the solubility and bioavailability of BCS class III drug TPM; second, toease administration of the formulation to the epileptic patient, during an attack, and third, to decrease the dose ofdrug for enduring treatment. Formulation of TPM niosomes was optimized by changing the concentration of Tween,Labrafil and cholesterol using response surface design. Further the TPM niosomes were prepared by using etherinjection method. The formulation was then evaluated for vesicle size, entrapment efficiency and in-vitro drugrelease study. FTIR and DSC studies were performed for pure drug and optimized batch. The vesicle size of theoptimized batch was found to be 0. 35 nm. The %entrapment efficiency and %drug release of optimized batch wasfound to be 94.64% and 92.027% respectively. From the present study it can be concluded that the developedniosomes of TPM has shown great potential in treatment of epilepsy.
托吡酯(TPM)是一种用于治疗癫痫和癫痫发作的抗癫痫药物。这项研究有三个目的。一是提高BCS III类药物TPM的溶解度和生物利用度;第二,减轻癫痫患者在发作期间对制剂的管理,第三,减少持久治疗所需的药物剂量。采用响应面设计法,通过改变Tween、Labrafil和胆固醇的浓度,对TPM小体的配方进行优化。进一步采用醚注射法制备了TPM膜体。然后对该制剂进行囊泡大小、包封效率和体外释药研究。对纯药和优化批进行FTIR和DSC研究。结果表明,优化后的微泡大小为0。35 nm。优化批的包封率和释药率分别为94.64%和92.027%。从目前的研究可以看出,TPM小体的发育在治疗癫痫方面具有很大的潜力。
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引用次数: 0
Computational Experiments on Workflow Balancing of ParallelMachine Scheduling with Precedence Constraints and SequenceIndependent Setup Time 具有优先约束和序列无关设置时间的并行机调度的工作流平衡计算实验
Pub Date : 2020-10-12 DOI: 10.46243/jst.2020.v5.i5.pp154-161
The workflow balancing of parallel machines scheduling (PMS) with precedence constraints andsequence independent setup time is considered for study. The setup time consideration produces alternate schedulealong with lesser relative percentage of imbalance (RPI) value for PMS problem is demonstrated with an example.The lesser RPI indicates better workflow balancing among machines. The computational experiments are conductedon large instances of randomly generated PMS problems with precedent constraints and setup time. The variouscombinations of heuristics are used to solve the problems. The results show that genetic algorithm (GA) performswell against the other heuristics with lesser RPI values
研究了具有优先约束和序列独立设置时间的并行机器调度(PMS)的工作流平衡问题。通过一个实例证明了在PMS问题中,考虑设置时间可以产生替代计划,并且相对不平衡百分比(RPI)值较小。RPI越小,表示机器之间的工作流平衡越好。在具有先例约束和设置时间的随机生成PMS问题的大型实例中进行了计算实验。各种启发式的组合被用来解决问题。结果表明,遗传算法在RPI值较小的启发式算法中表现良好
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引用次数: 0
Synthesis and Characterization of Faujasite Type Zeolite From FlyAsh by Hydrothermal Treatment 水热法制备飞灰浮石型沸石及其性能研究
Pub Date : 2020-10-12 DOI: 10.46243/jst.2020.v5.i5.pp110-118
In many countries, thermal power stations are releasing huge quantities of Fly ash leads moreenvironmental issues, while disposing. Various efforts have been conducted by researchers to arrive at somealternatives, that are able to significantly reduce high energy consumed and environmental impacts. The cleanertechnologies in concrete production, such as substituting relatively high percentage of cement by fly ash, the use ofother natural pozzolans, development of concrete with recycling or waste materials, This paper deals with theextraction of useful Faujasite type Zeolite, from fly ash, collected at Tuticorin Thermal Power Station, byhydrothermal treatment and also discussed the applications of Zeolite. The product formed is insoluble in water andMineral acids. This is characterized by XRD, FT-IR, and Solid state 27Al NMR.
在许多国家,火电厂在处理过程中释放出大量的粉煤灰,导致了更多的环境问题。研究人员已经进行了各种努力,以找到一些能够显著减少高能耗和环境影响的替代方案。混凝土生产中的清洁技术,如用粉煤灰替代较高比例的水泥、使用其他天然火山灰、开发可回收或废弃的混凝土等。本文介绍了从图蒂哥林热电厂收集的粉煤灰中,用水热法提取有用的Faujasite型沸石,并讨论了沸石的应用。所形成的产品不溶于水和无机酸。通过XRD, FT-IR和固态27Al NMR表征。
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引用次数: 0
Performance Analysis of Three-Phase Solar PV Integrated UPQCUsing Space Vector Technique 基于空间矢量技术的三相太阳能光伏集成upqc_性能分析
Pub Date : 2020-10-12 DOI: 10.46243/jst.2020.v5.i5.pp140-148
J. Sandhya, N. Sirisha
: Due to the increase of load demand in future, the generation must also increase. The use of traditionalresources such as coal, diesel fuels etc., causes global warming which is leading us to shift to renewable energyresources. Renewable energy resources may in include solar, wind, tidal as the source for production. These areused in small quantities as Distribution Generators (DG) at different locations in a bus system. As the generation ofthese sources is less when connected to grid, we call them as micro-grids. These micro grids generally use theseDGs to distribute power to loads, and involve power electronic elements to control the generation. It induces energyinto the system but also create a problem of harmonic distortions and voltage sags.To eliminate these sags and harmonics in the micro grid system caused by the power electronic devicesemployed by the renewable sources, we induce a UPQC (Unified Power Quality Conditioner) system. The UPQCsystem eliminates the harmonics in the systems and restores the voltage of the micro-grid system. We introduce anew topology called instantaneous reactive power (IRP) theory in the UPQC control to operate in a more efficientway, by utilizing RES (Renewable Energy Sources) at the DC-link. The RES support the UPQC system by injectingthe active power generated by the resources through DC-link.
由于未来负荷需求的增加,发电量也必须增加。使用传统资源,如煤、柴油等,导致全球变暖,这促使我们转向可再生能源。可再生能源包括太阳能、风能、潮汐能等。它们作为配电发电机(DG)在总线系统的不同位置少量使用。由于这些能源接入电网后发电量减少,我们称之为微电网。这些微电网通常使用这些edg将电力分配给负载,并涉及电力电子元件来控制发电。它将能量引入系统,但也会产生谐波失真和电压下降的问题。为了消除由可再生能源使用的电力电子设备引起的微电网系统中的这些凹陷和谐波,我们引入了UPQC(统一电能质量调节器)系统。upqc系统消除了系统中的谐波,恢复了微电网系统的电压。我们在UPQC控制中引入了一种称为瞬时无功功率(IRP)理论的新拓扑,通过在直流链路上利用RES(可再生能源),以更有效的方式运行。RES通过DC-link将资源产生的有功功率注入UPQC系统。
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引用次数: 0
Jevamrutha: Organic Liquid Formulations For SustainableAgriculture Practices: A Review Jevamrutha:用于可持续农业实践的有机液体配方:综述
Pub Date : 2020-10-12 DOI: 10.46243/jst.2020.v5.i5.pp135-139
In the context of today’s modern agriculture, jeevamrutha, popularized by Shri Subhash Palekar, is apanacea for the prosperity of small farmers. It is important to provide a congenial environment to microorganismsthat help in making available the essential nutrients for plant growth viz., nitrogen, phosphorus, and potassium, tothe plants. Jeevamrutha provides such an environment to beneficial microbes. Application of Jeevamrutha to soilimproves the soil considerably. It also encourages microbial activity in the soil.
在今天的现代农业背景下,由Shri Subhash Palekar推广的jeevamrutha是小农繁荣的灵丹妙药。为微生物提供一个适宜的环境是很重要的,因为微生物可以为植物提供生长所必需的营养物质,如氮、磷和钾。Jeevamrutha为有益微生物提供了这样一个环境。在土壤中施用Jeevamrutha可显著改善土壤。它还能促进土壤中的微生物活动。
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引用次数: 0
Review Paper on Inverted Brayton Cycles 逆布雷顿循环研究综述
Pub Date : 2020-10-11 DOI: 10.46243/jst.2020.v5.i5.pp78-84
The exhaust gas from an internal combustion engine contains approximately 30% of the thermalenergy of combustion. Waste heat recovery (WHR) systems aim to reclaim a proportion of this energy ina bottoming thermodynamic cycle to raise the overall system thermal efficiency. One of promising heatrecovery approaches is to employ an inverted Brayton cycle (IBC) immediately downstream of theprimary cycle. However, it is a little-studied approach as a potential exhaust-gas heat-recovery system,especially when applied to small automotive power-plants.The experiments of the IBC prototype wereconducted in the gas stand. The correlated IBC model can be utilized for the further development of theIBC system. Researchers were reviewed core paper on Inverted Brayton Cycles (IBC) and concluded thatthere were possibility of heat recovery system in that for changing different mechanical components.
内燃机排出的废气约占燃烧热能的30%。废热回收(WHR)系统的目的是回收一部分能量在底部热力学循环中,以提高整个系统的热效率。一种有前途的热回收方法是在主循环的下游立即采用逆布雷顿循环(IBC)。然而,作为一种潜在的废气热回收系统,特别是当应用于小型汽车发电厂时,研究很少。在气台上进行了IBC原型机的实验。相关的IBC模型可用于IBC系统的进一步开发。研究人员回顾了倒转布雷顿循环(IBC)的核心论文,认为在倒转布雷顿循环中有可能采用不同机械部件的热回收系统。
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引用次数: 1
Epidemics and Pandemics outbreak in India from 19th to 21thCentury 19至21世纪在印度爆发的流行病和流行病
Pub Date : 2020-10-10 DOI: 10.46243/jst.2020.v5.i5.pp59-63
: India has witnessed a widespread of illness and viral outbreak throughout century. The diseases mayspread from human to human contact, animal to human transmission. Diseases may epidemic, endemic andpandemic in nature. India is great prone to these epidemic and pandemic diseases due to large population andfavorable tropical climate of the country. India also has a large disasters prone area which may cause largespreading of many epidemics after post disaster. Pandemics on the other hand, refer to the worldwide spread ofdiseases. Some of which causes death of million. Millions of people displaced from their home and becomehomeless. Epidemics or pandemics cause a great loss to Indian society.
一个世纪以来,印度经历了广泛的疾病和病毒爆发。这些疾病可能通过人际接触传播,也可能通过动物传播给人。疾病在本质上可以是流行病、地方病和流行病。由于人口众多和有利的热带气候,印度很容易发生这些流行病和大流行性疾病。印度也有一个大的灾害易发区,灾后可能会导致许多流行病的大规模传播。另一方面,大流行指的是疾病在全球范围内的传播。其中一些导致数百万人死亡。数百万人流离失所,无家可归。流行病或流行病给印度社会造成巨大损失。
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引用次数: 0
Road Condition Monitoring with Grading System 道路状况监测与分级系统
Pub Date : 2020-10-10 DOI: 10.46243/jst.2020.v5.i5.pp64-69
India has the highest number of two-wheeler riders in the entire world. As Indians think that twowheelers are more convenient a lot of people use them for their daily activities. Delivery boys for a lot of companiesalso prefer to use a two-wheeler as it is more economically convenient. Along with this, people also use twowheelers for rushing to the workplace avoiding a lot of traffic. The majority of these people can be classified asyoung adults. A lot of people complain about back issues due to the bad road conditions that they face whiletravelling every day. Our system uses the sensor consisting of the accelerometer and the gyroscope to analyze thecondition of the road and classify how bad the current condition of the road actually is. The system will not onlyclassify the road as good or bad but also provide a rating to the road based on how severe the condition of the roadactually is. The sensors will be calibrated according to a particular vehicle which will be beneficial for the rider.The system will also provide the best option of the road from travelling from point A to point B provided if there aremultiple options available and the analysis of all the options has been done previously.
印度是世界上骑两轮车最多的国家。由于印度人认为两轮车更方便,很多人在日常活动中使用它们。许多公司的快递员也更喜欢使用两轮车,因为它更经济方便。与此同时,人们也使用两轮车去上班,避免了大量的交通。这些人中的大多数可以被归类为年轻人。许多人抱怨由于他们每天旅行时遇到的糟糕的道路状况而导致的背部问题。我们的系统使用由加速度计和陀螺仪组成的传感器来分析道路状况,并对当前道路的实际状况进行分类。该系统不仅会对道路进行好与坏的分类,还会根据道路的实际情况对道路进行评级。传感器将根据特定的车辆进行校准,这将有利于骑手。该系统还将提供从A点到B点的最佳道路选择,前提是有多个可用的选择,并且之前已经对所有选择进行了分析。
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引用次数: 0
Three Swarm Intelligence Algorithms for Wireless Sensor NetworkApplications: A review 三种群体智能算法在无线传感器网络中的应用综述
Pub Date : 2020-10-05 DOI: 10.46243/jst.2020.v5.i6.pp80-86
: Wireless Sensor Networks (WSNs) are increasingly realizing applications in IoT, smart grids, healthcare,security, swarm robotics, etc. Swarm Intelligence is used to optimize performance parameters associated with WSNsincluding localization, coverage, network lifetime, energy efficiency to name a few. The scope of this paper isrestricted to a survey on Stochastic Diffusion Search, Genetic Algorithm and Particle Swarm Algorithm with respectto their organization and capacity to optimize these network parameters and their current as well as potentialapplications in WSNs.
无线传感器网络(wsn)在物联网、智能电网、医疗保健、安全、群体机器人等领域的应用越来越广泛。蜂群智能用于优化与wsn相关的性能参数,包括定位、覆盖、网络寿命、能源效率等。本文的范围仅限于综述随机扩散搜索、遗传算法和粒子群算法的组织和优化这些网络参数的能力,以及它们在WSNs中的当前和潜在应用。
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引用次数: 0
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