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2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR)最新文献

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Non-cooperative spectrum sensing techniques in cognitive radio-a survey 认知无线电测量中的非合作频谱感知技术
B. Suseela, D. Sivakumar
The limited available spectrum and the inefficiency in the spectrum usage necessitate a new communication technology, referred to as cognitive radio (CR) networks. The important functionality of Cognitive Radio (CR) is spectrum sensing in which accuracy and speed of estimation prove to be the key indicators to select the appropriate spectrum sensing technique. Spectrum sensing helps to detect the spectrum holes providing high spectral resolution capability. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented. Various aspects of spectrum sensing problem are studied from a cognitive radio perspective. The Wavelet Edge Detection is one of the most widely used Spectrum Sensing techniques. This technique observes the spatial distribution of spectral data at multiple resolutions.
有限的可用频谱和低效率的频谱利用需要一种新的通信技术,即认知无线电(CR)网络。认知无线电(CR)的重要功能是频谱感知,其中估计的准确性和速度是选择合适的频谱感知技术的关键指标。光谱传感有助于检测光谱孔,提供高光谱分辨率的能力。这是认知无线电系统中最具挑战性的问题之一。本文对认知无线电的频谱感知方法进行了综述。从认知无线电的角度研究了频谱感知问题的各个方面。小波边缘检测是目前应用最广泛的频谱检测技术之一。该技术在多个分辨率下观测光谱数据的空间分布。
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引用次数: 17
Correlation delay shift keying based chaotic MIMO communication system 基于相关延迟移位键控的混沌MIMO通信系统
M. C. Kirutiga, K. Narayanan, A. Chinmayi
In recent years chaotic communication systems have emerged as an alternative solution to conventional spread spectrum systems. The security of chaos communication system is superior to other digital communication system, because it has characteristics such as non-periodic, wide-band, non-predictability, easy implementation and sensitive initial condition. This paper makes a primary contribution to evaluate the BER performance of Chaos MIMO Communication system. The different maps that have been considered are Tent map, Boss map, Henon map and logistic map. The modulation scheme that has been considered is CDSK in presence of AWGN channel.
近年来,混沌通信系统已成为传统扩频通信系统的一种替代方案。混沌通信系统具有非周期、宽带、不可预测、易实现、初始条件敏感等特点,其安全性优于其他数字通信系统。本文对混沌MIMO通信系统的误码率性能评价做出了初步的贡献。不同的地图被认为是帐篷地图,Boss地图,Henon地图和后勤地图。考虑的调制方案是存在AWGN信道的CDSK。
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引用次数: 0
Prevention of monkey trespassing in agricultural field using application agricultural specific flooding approach in wireless sensor network 无线传感器网络中应用农业专用泛洪方法防止猴类侵入农田
R. Radha, K. Kathiravan, V. Vineeth, J. Sanjay, S. Venkatesh
Farmers are facing a lot of difficulties because of the increasing monkey menace in the Indian Agricultural land. The massive fruit and vegetable crops worth crores of rupees were fully damaged and destroyed by the monkeys. In an opinion survey that was conducted based on the monkey menace, it was discovered that monkeys are becoming a threat for public health, crop and property. Most people in the monkey menace prone zones are convinced that these monkeys should be trapped and moved to some other place. The existing detection systems such as Light and Camera Option, Infra sound and Seismic Communication Option are very highly expensive and very less effective. The proposed detection system comprises of wireless sensor network which is coupled with ultrasonic sound generator to ward off monkeys. The sensor node senses the movement of the monkey into the land and notifies the sink node by broadcasting alarm tones using our application specific flooding algorithm. The Sink node triggers the attached ultrasonic sound generator which produces ultrasonic sound in the range of more than 20 kHz which irritates monkeys and forces them away from the field. We evaluate the performance of our flooding approach using ns2.35 simulator and show that our algorithms performs better in terms of number of broadcasts, end to end latency and battery life of sensor nodes.
由于印度农业土地上猴子的威胁越来越大,农民们面临着很多困难。价值千万卢比的大量水果和蔬菜作物被猴子完全破坏和摧毁。在一项基于猴子威胁的民意调查中,人们发现猴子正在成为公众健康、作物和财产的威胁。在猴子威胁易发地区的大多数人都认为,这些猴子应该被困住,转移到其他地方。现有的探测系统,如光和相机选项、次声和地震通信选项,都非常昂贵,而且效率很低。该检测系统由无线传感器网络组成,该网络与超声波声发生器相结合,以抵御猴子。传感器节点感知到猴子进入陆地的运动,并使用我们的应用程序特定的洪水算法通过广播警报音通知汇聚节点。下沉节点触发附加的超声波发生器,产生超过20千赫的超声波,刺激猴子并迫使它们离开田地。我们使用ns2.35模拟器评估了我们的泛洪方法的性能,并表明我们的算法在广播数量,端到端延迟和传感器节点的电池寿命方面表现更好。
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引用次数: 8
Energy efficient Wireless Sensor Networks using FAF and dual cluster head technique for weed detection 利用FAF和双簇头技术进行杂草检测的高能效无线传感器网络
S. Devasenapathy, K. Kathiravan, D. Nivedha, U. Divya, G. D. Dharini
The main challenge of Wireless Sensor Networks is to transfer the data with less cost and energy. Another requirement of efficient WSN is to have a maximum lifetime of sensor nodes. This lifetime of sensor nodes gets reduced due to usage of large amounts of energy and fading. To overcome this barrier, many techniques such as, LEACH, PEGASIS etc., are invented over the decades. Existing system used single cluster head to transfer the data from nodes to base station. This paper proposes the concept of dual cluster head which follows sleep and awake modes to share the work load. AODV routing protocol is used in this technique. Here the next hop is selected based on forward aware factor (FAF). This system improved the energy efficiency and reduced the delay. Experimental results are compared with LEACH and PEGASIS. It has been proved that this system outstripped the other traditional systems. This technique can be used for weed detection among cereal crops.
无线传感器网络面临的主要挑战是如何以更低的成本和能量传输数据。高效WSN的另一个要求是传感器节点的最大生存期。由于使用大量的能量和衰落,传感器节点的寿命会缩短。为了克服这一障碍,几十年来发明了许多技术,如LEACH, PEGASIS等。现有系统采用单簇头将数据从节点传输到基站。本文提出了双簇头的概念,它遵循睡眠和清醒模式来分担工作负荷。该技术采用AODV路由协议。这里的下一跳是基于前向感知因子(FAF)选择的。该系统提高了能源效率,减少了延误。实验结果与LEACH和PEGASIS进行了比较。实践证明,该系统优于其他传统系统。这项技术可用于谷类作物间的杂草检测。
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引用次数: 2
Farming technology for India agriculture based sensorics and indicative systems 印度农业传感和指示系统的农业技术
Agni Biswas, Sarthak Prakash
Hunger has become a major problem to most of the human race. Decreased output from agriculture is a major contributing factor. For most third world countries the farming population has been constantly suffering. The poorer strata among farmers suffer due to the lack of awareness and their own incapability to utilize the methods modern science has readily made available to the masses. The small size of the individually owned lands makes it mored ifficult to utilize the machinery which would have otherwise substituted for their current levels of knowledge. Ironically, if improved machinery were to be implemented to replace the farmer, leading to even 10% unemployment, a staggering 14.4 million people with no other significant skill sets [1] would be unemployed indefinitely. This leads to a stalemate which ultimately benefits no-one; the agricultural output does resources continue to decimate our already dwindling pool of resources. This paper intends to present methods to equip the farmer with tools that supplement his knowledge as well as add to the output of his farm without leading to mass unemployment.
饥饿已成为大多数人类面临的主要问题。农业产出下降是一个主要因素。对大多数第三世界国家来说,农业人口一直在受苦。农民中的较贫困阶层由于缺乏认识和自己不能利用现代科学提供给大众的方法而受苦。个人拥有的土地面积小,使得他们很难利用机器,否则这些机器将取代他们目前的知识水平。具有讽刺意味的是,如果采用改进的机械来取代农民,甚至导致10%的失业率,令人震惊的1440万没有其他重要技能[1]的人将无限期失业。这会导致僵局,最终对谁都没有好处;农业产出的资源继续使我们已经日益减少的资源池遭受重创。本文旨在提出一些方法,以装备农民的工具,补充他的知识,并增加他的农场的产出,而不会导致大规模失业。
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引用次数: 4
Integration of Precision Agriculture and SmartGrid technologies for sustainable development 整合精准农业和智能电网技术,促进可持续发展
Stephen Odara, Z. Khan, T. Ustun
In this paper the integration of Precision Agriculture (PA) and Smart grid technologies is proposed as an avenue for increasing the volume of sustainable energy supply. Agriculture constitutes a large load to accomplish tasks such as irrigation, crop collection and processing. Furthermore, it has an untapped potential for generation of energy from agricultural residue and waste. PA involves exacting and precise measurements of different variables of interest, be it related to consumption or generation of energy. This provides information that can increase the accuracy of energy demand and supply forecasting, the basis of better load management in Smart grid. Such integration has the potential to benefit agricultural systems through reduced costs of input including costs of waste disposal. Furthermore it may also positively benefit the environment through consumption of carbon neutral fuels. In addition, if the better energy management is utilized to give some excess power to the villages around smart farms, it can form the basis for power generation for remote communities.
本文提出将精准农业与智能电网技术相结合,作为增加可持续能源供应量的一种途径。农业是完成灌溉、作物收集和加工等任务的一大负荷。此外,利用农业残渣和废物发电的潜力尚未开发。PA涉及对不同感兴趣的变量进行严格和精确的测量,无论是与消耗还是与产生能源有关。这提供的信息可以提高能源需求和供应预测的准确性,这是智能电网更好地管理负荷的基础。这种整合有可能通过降低投入成本,包括废物处理成本,使农业系统受益。此外,它还可以通过消耗碳中性燃料对环境产生积极的好处。此外,如果利用更好的能源管理,为智能农场周围的村庄提供一些多余的电力,可以形成偏远社区发电的基础。
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引用次数: 10
Performance analysis of power spectral density on OFDM using BICM 基于BICM的OFDM功率谱密度性能分析
V. Murugan, D. Sivakumar
Communication is one of the important aspects of life. Along with the improvement in age and its growing demands, there has been rapid growth in the field of communications. Signals, which were primarily sent in the analog domain, are being sent more and more in the digital domain nowadays. For improved transmission, even single carrier waves are being replaced by multi carriers. Multi carrier systems like CDMA and OFDM are nowadays being implemented frequently. Though, an OFDM signal has a huge peak-to-average power ratio, which can effect in vital distortion when passed through a nonlinear device, such as a transmitter power amplifier. New studies investigates, during wide computer simulations, the effects of clipping and filtering on the performance of OFDM, including the power spectral density, the crest factor, the bit-error rate and the PAPR. But still the high PAPR exists in OFDM systems. In this project, we propose Bit Interleaved Coded Modulation (BICM) to diminish PAPR in OFDM which attain performance for both lightly and fully loaded systems.
交流是生活的一个重要方面。随着年龄的增长和需求的增长,通信领域得到了迅速的发展。原先在模拟域发送的信号,现在越来越多地在数字域发送。为了改善传输,甚至单载波也被多载波所取代。目前,CDMA和OFDM等多载波系统正在被频繁地实施。但是,OFDM信号具有巨大的峰均功率比,当通过非线性设备(如发射机功率放大器)时,会产生重要的失真。在广泛的计算机模拟中,新的研究调查了裁剪和滤波对OFDM性能的影响,包括功率谱密度、波峰系数、误码率和PAPR。但是在OFDM系统中仍然存在较高的PAPR。在这个项目中,我们提出了比特交织编码调制(BICM)来减少OFDM中的PAPR,从而在轻负荷和满载系统中都能获得性能。
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引用次数: 1
Shape, size and maturity features extraction with fuzzy classifier for non-destructive mango (Mangifera Indica L., cv. Kesar) grading 无损芒果(Mangifera Indica L., cv.)形状、大小和成熟度特征的模糊分类器提取。Kesar)评分
Sapan Naik, Bankim Patel, R. Pandey
In the era of ICT technologies, automation in grading of mango (Mangifera Indica L.) is important to reach consumer demand for quality mango. This paper addresses that issue to identify agricultural produce based on shape, size and maturity. Fuzzy inference system is used for decision making process. In this paper, proposed methodology is divided in three phases: In first phase, mangoes are classified either well formed or deformed using eccentricity, extent and cross-ratio properties of shape. Second phase discusses about size and maturity classification. Weight and area are used for size feature extraction and mean of a* and b* channel of L*a*b* color space are used as parameters of maturity feature. In this phase, mangoes are classified in small, medium or big size and unripe, partially ripe or ripe maturity. At final phase, decision making theory is used to grade mango in class I, class II or class III. Integration of whole system results average accuracy 90% and system takes 2.1 seconds to grade a mango.
在ICT技术时代,芒果(Mangifera Indica L.)的自动化分级对于满足消费者对优质芒果的需求非常重要。本文解决了基于形状、大小和成熟度来识别农产品的问题。决策过程采用模糊推理系统。本文提出的方法分为三个阶段:第一阶段,根据形状的偏心、程度和交叉比特性对芒果进行成形良好或变形的分类。第二阶段讨论规模和成熟度分类。尺寸特征提取采用权重和面积,成熟度特征提取采用L*a*b*色彩空间的a*和b*通道均值。在这个阶段,芒果分为小、中、大、未成熟、部分成熟和成熟。在最后阶段,运用决策理论对芒果进行一级、二级或三级的分级。整个系统的集成结果平均准确率为90%,系统对一个芒果进行分级需要2.1秒。
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引用次数: 22
Identification of temperature of a Dicumyl peroxide reaction process in CSTR CSTR中过氧化二氨基反应过程温度的确定
R. Poornima, S. Malathi, T. Narayani, S. Sobana, R C Panda
Many industrial chemical processes involve exothermic (heat generating) reactions whose temperature needs to be controlled for safe operation of the process. If there is any irregularity in coolant flow, the reactant temperature becomes difficult to control. Reaction continues under unsafe condition till all the reactants finish which may lead to hazardous reaction. Dicumyl peroxide reaction is one such process, where the amount of heat generated is high, which may cause thermal explosion and runaway reaction to occur when the heat liberated is not compensated by the jacket coolant temperature or due to contaminants present in the reactor. The present work comprises identification of the process dynamics by nonlinear ARX model and estimation of internal states of the process reaction using estimators like Kalman Filter (KF), Extended Kalman Filter (EKF) and Unscented Kalman Filters (UKF). Results of these estimators are compared and suitable estimator which provides least mismatch between plant and model will be applied to design the control law for efficient control.
许多工业化学过程涉及放热反应,为了安全操作,需要控制放热反应的温度。如果冷却剂流动不规律,反应物温度就难以控制。在不安全的条件下继续反应,直到所有反应物完成,可能导致危险反应。过氧化二氨基甲酸酯反应就是这样一个过程,其中产生的热量很高,当释放的热量没有得到夹套冷却剂温度的补偿或由于反应器中存在的污染物而发生热爆炸和失控反应。目前的工作包括通过非线性ARX模型识别过程动力学以及使用卡尔曼滤波器(KF),扩展卡尔曼滤波器(EKF)和Unscented卡尔曼滤波器(UKF)等估计器估计过程反应的内部状态。将这些估计器的结果进行比较,并采用对象与模型之间不匹配最小的估计器来设计控制律,以实现有效的控制。
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引用次数: 1
Damaged road detection in rural areas for improving agricultural marketing 农村破损道路检测,改善农业销售
S. Leninisha, K. Vani, A. L. Agasta Adline, V. Vani
Transport affects agricultural marketing because it is the only means by which farmers can transport their produce to the market. Reliable road path is essential for transporting the cultivated crops to the market at right time. Heavy traffic, railway crossings, road repair and unexpected road blocks increases the transportation time. The increase in transportation time results in loses of crop freshness and quality which reduces the profit for farmers. The impacts of road infrastructure on agricultural output and productivity are particularly important in rural development. In this paper, we propose a methodology to detect reliable road path with reduced transportation time in the presence of road blocks or damages. The road network with the length and width of roads (both damaged as well as good) can be extracted accurately from a given remote sensing image. Discontinuities of roads are identified (due to damage or block) using multilevel searching by iteratively increasing the jump step size in pixels. The experimental results shows that the efficiency and accuracy of the proposed methodology.
运输影响农业销售,因为它是农民将农产品运往市场的唯一手段。可靠的道路对于将栽培的作物及时运到市场至关重要。繁忙的交通、铁路道口、道路维修和意外的路障增加了运输时间。运输时间的增加导致作物新鲜度和质量的下降,从而减少了农民的利润。道路基础设施对农业产出和生产力的影响在农村发展中尤为重要。在本文中,我们提出了一种方法来检测可靠的道路路径与减少运输时间的存在路障或损坏。从给定的遥感图像中可以准确地提取出具有道路长度和宽度的道路网(既有破损的,也有完好的)。通过迭代增加跳跃步长的像素,使用多层搜索来识别道路的不连续性(由于损坏或阻塞)。实验结果表明了该方法的有效性和准确性。
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引用次数: 1
期刊
2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR)
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