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2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)最新文献

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A New Data Hiding Method Using Adaptive Quantization & Dynamic Bit Plane Based AMBTC 一种基于自适应量化和动态位平面的AMBTC数据隐藏新方法
R. Kumar, N. Kumar, K. Jung
This paper proposes a novel data hiding method using adaptive quantization & dynamic bit plane based AMBTC technique. In the proposed method, initially, a cover image is partitioned into a set of non-overlapping blocks, then adaptive number of quantization levels and size of the bit-plane for each block is determined, using the complexity level. The secret data is concealed into the bit-planes of the blocks according to their tolerance capability. The secret data is embedded via simple bit replacement strategy. The dynamic categorization of image blocks and determination of number of quantization levels along with the size of bit-planes have significantly contributed in providing high quality marked-image while maintain the same bit-rate. Further, the proposed scheme provides high data hiding capacity as almost every block is being used for hiding the secret data. It is clearly evident from the experimental results that proposed method performs significantly better than the conventional AMBTC based data hiding methods for the hiding capacity and image quality trade-off, without any change in required bit-rate.
本文提出了一种新的基于自适应量化和动态位平面的AMBTC技术的数据隐藏方法。该方法首先将覆盖图像分割为一组互不重叠的块,然后利用复杂度水平自适应地确定量化层次数和每个块的位平面大小。根据块的容差能力,将秘密数据隐藏到块的位平面中。秘密数据通过简单的位替换策略嵌入。图像块的动态分类和量化水平数的确定以及位平面的大小对于在保持相同比特率的情况下提供高质量的标记图像有重要的贡献。此外,该方案提供了高的数据隐藏能力,因为几乎每个块都用于隐藏秘密数据。实验结果表明,该方法在不改变比特率的前提下,在隐藏容量和图像质量的权衡方面明显优于传统的基于AMBTC的数据隐藏方法。
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引用次数: 7
Cooperative Reinforcement Learning Based Adaptive Resource Allocation in V2V Communication 基于协作强化学习的V2V通信自适应资源分配
Sandeepika Sharma, Brahmjit Singh
Platooning is one of the key applications of Intelligent Transportation System (ITS) for the smart cities. Various wireless technologies have been proposed for meeting the stringent requirements of platooning. 3GPP has initiated standardization work for LTE based V2V communication. It offers potential means to support transmission of safety critical messages among platoon vehicles with high reliability, security and ultra low latency. However, efficient resource allocation has been a challenge in LTE based networks. In this paper, we propose a Cooperative-Reinforcement Learning (C-RL) based resource selection algorithm for communication among connected vehicles utilizing LTE-Direct technology. The proposal outperforms the distributed resource selection scheme in terms of actual time required for Cooperative Awareness Messages (CAM) dissemination among vehicles forming the platoon and performance of other vehicular links sharing the similar Resource Blocks (RBs). Simulation results shows the efficacy of the proposed algorithm in terms of efficient resource utilization and faster dissemination of messages among the connected vehicles.
队列是智能交通系统在智慧城市中的关键应用之一。为了满足队列的严格要求,已经提出了各种无线技术。3GPP已经启动了基于LTE的V2V通信标准化工作。它提供了一种潜在的手段,支持在排车之间传输具有高可靠性、安全性和超低延迟的安全关键信息。然而,在基于LTE的网络中,有效的资源分配一直是一个挑战。在本文中,我们提出了一种基于合作强化学习(C-RL)的资源选择算法,用于使用LTE-Direct技术的互联车辆之间的通信。该方案在组成队列的车辆之间传播协同感知消息(CAM)所需的实际时间和共享类似资源块(RBs)的其他车辆链路的性能方面优于分布式资源选择方案。仿真结果表明,该算法在有效利用资源和更快地在互联车辆之间传播信息方面是有效的。
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引用次数: 14
2019 6th International Conference on Signal Processing and Integrated Networks (SPIN) 2019第六届信号处理与集成网络国际会议(SPIN)
2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)
2019第六届信号处理与集成网络国际会议(SPIN)
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引用次数: 3
Power Reduction in Domino Logic Using Clock Gating in 16nm CMOS Technology 采用16nm CMOS时钟门控技术降低Domino逻辑功耗
Smita Singhal, Anu Mehra, U. Tripathi
In this paper, a new technique of power reduction in a cmos domino logic is proposed. The proposed technique uses clock gating as well as output hold circuitery. Clock is passed to the domino logic only during the active state of the circuit. During standby mode, clock is bypassed while the state of the circuit is retained. A 2:1 multiplexer is used for clock gating and for retaining the state of the circuit. Simulation results are being carried out in a 2-input nand gate, 2-input nor gate and 1-bit conventional full adder cell in 16nm cmos technology. The power of the proposed circuit is reduced to an average of 99.37 percent with respect to standard domino logic. Propagation delay is slightly increased to an average of 4.53 percent. Area of the proposed circuit increases to four transistors per domino module.
本文提出了一种新的cmos多米诺逻辑降功耗技术。所提出的技术使用时钟门控以及输出保持电路。时钟仅在电路活动状态期间传递给domino逻辑。在待机模式期间,时钟被绕过,而电路的状态被保留。一个2:1多路复用器用于时钟门控和保持电路的状态。在16nm cmos技术的2输入非门、2输入非门和1位传统全加法器单元中进行了仿真结果。相对于标准多米诺逻辑,所建议电路的功率降低到平均99.37%。传输延迟稍微增加到平均4.53%。所提出的电路面积增加到每个多米诺骨牌模块四个晶体管。
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引用次数: 6
PID Based Chemotherapeutic Drug Scheduling for Cancer Treatment 基于PID的肿瘤化疗药物调度
V. Arya, Nikhil Pachauri
The objective of this paper is to design a closed loop control scheme for optimal drug scheduling during chemotherapy. For this purpose, a PID controller is designed and implemented to regulate drug concentration and toxicity. Whale optimization technique is used to evaluate the design parameter values of PID controller leading to, WOA-PID. Further simulated annealing tuned PID (SA-PID) is also designed for comparison purpose. Simulation results reveals that WOA-PID provide effective drug scheduling during chemotherapy in comparison to SA-PID.
本文的目的是设计一个闭环控制方案,以优化化疗期间的药物调度。为此,设计并实现了PID控制器来调节药物浓度和毒性。采用鲸鱼优化技术对PID控制器的设计参数值进行评估,得到WOA-PID。进一步设计了模拟退火调谐PID (SA-PID)进行比较。仿真结果表明,与SA-PID相比,WOA-PID在化疗期间提供了有效的药物调度。
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引用次数: 4
An Efficient Content Based Image Retrieval Scheme with Preserving the Security of Images* 一种有效的基于内容的图像检索方案,并保证图像的安全性*
Mukul Majhi, Jitesh Pradhan, Arup Kumar Pal
In this paper, an efficient content based image retrieval scheme is proposed which incorporates the security of images in a retrieval system. The main contribution of the proposed scheme is two folded that is to develop an efficient image retrieval process, and to provide security to the retrieved images. To achieve this goal, features from the foreground region as well as background features are extracted, where more importance is given to the foreground region which is identified based on Itti Koch Saliency Map. From the obtained foreground region texture features along with color features are extracted. Simultaneously, the background is divided into four regions and color features are extracted. Finally, the foreground and background features are combined to perform image retrieval process. Now to prevent the feature vector from illegitimate users, suitable cryptographic approaches are used to provide security in terms of confidentiality and integrity. To protect the integrity, the hash value of the feature vector is computed and the obtained hash value along with feature vector are enciphered together. This enciphered value is then communicated to the user. The content owner verifies the integrity of the feature and performs the retrieval process. The retrieved results are then watermarked to protect copyright and are further enciphered so that unauthorized user's cannot access the images. This security mechanism ensures that the retrieved images are shared only to the authorized user. The retrieval process is performed on Corel dataset and the results are comparable to the existing state-of-arts methods. Finally, this process is suitable to protect the security of images in a retrieval system.
本文提出了一种高效的基于内容的图像检索方案,该方案兼顾了检索系统中图像的安全性。该方案的主要贡献有两个方面:一是开发了一种高效的图像检索过程,二是为检索到的图像提供了安全性。为了实现这一目标,从前景区域提取特征,同时提取背景特征,其中更重视基于Itti Koch显著性图识别的前景区域。从得到的前景区域提取纹理特征和颜色特征。同时,将背景划分为4个区域,提取颜色特征。最后,结合前景和背景特征进行图像检索。现在,为了防止非法用户使用特征向量,使用合适的加密方法来提供机密性和完整性方面的安全性。为了保护完整性,计算特征向量的哈希值,并将得到的哈希值与特征向量一起加密。然后将这个加密值传递给用户。内容所有者验证特性的完整性并执行检索过程。然后对检索到的结果进行水印以保护版权,并进一步进行加密,使未经授权的用户无法访问图像。这种安全机制确保检索到的图像仅供授权用户共享。检索过程在Corel数据集上执行,结果与现有最先进的方法相当。最后,该方法适用于保护检索系统中图像的安全性。
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引用次数: 4
Identification of Influential Factors for Productivity and Sustainability of Crops Using Data Mining Techniques 利用数据挖掘技术识别作物生产力和可持续性的影响因素
D. Sharma, A. Sai Sabitha
India is a country in which agriculture plays a wide role with around 70% of its population is dependent on agriculture good in direct or indirect way. The agricultural sector contributes about 14% to GDP of India. As the population is increasing, demand for crops is also increasing day by day. About all suicides in India farmer suicide accounts for 11.2%. There are many reasons given for farmer suicides like inadequate monsoon rainfall, interest rate is high, certain government policies are not in welfare, mental health issues, personal and family problems. It is also noticed that even the states are responsible for manipulating certain statistics. this research work uses data mining clustering technique to group attributes that results in low crop production. Case studies are conducted to map and co-relate the low crop production, monsoon factors along with farmer suicidal data. The states are affected most is identified and further analysed.
印度是一个农业发挥广泛作用的国家,大约70%的人口直接或间接地依赖于农业产品。农业部门对印度GDP的贡献约为14%。随着人口的增长,对农作物的需求也日益增加。在印度所有自杀事件中,农民自杀占11.2%。农民自杀的原因有很多,比如季风降雨不足、利率高、某些政府政策不关心福利、心理健康问题、个人和家庭问题。人们还注意到,甚至国家也有责任操纵某些统计数据。本研究使用数据挖掘聚类技术对导致作物低产量的属性进行分组。通过案例研究,绘制出低作物产量、季风因素与农民自杀数据之间的关系图。确定并进一步分析受影响最大的州。
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引用次数: 1
Real Time Monitoring of High Temperature of Remote Places Using Wireless Sensor Network Without use of any Peripheral Hardware 利用无线传感器网络对偏远地区的高温进行实时监测,无需使用任何外围硬件
R. Dhammi, K. M. Soni, S. Selvam, Prabhdyal Singh
This paper is about the use of thermocouples in wireless sensor networks using Java. Thermocouples are able to measure temperatures as high as 1200 degree Celsius. Standard implementation of thermocouples requires the use of peripheral hardware to measure temperature. Through this paper, it has been shown how Java can be used to interface the thermocouple directly with the Xbee radio modules using customized API, without using any peripheral hardware or microcontrollers. Real time data are stored and analyzed through graph.
本文介绍了利用Java实现热电偶在无线传感器网络中的应用。热电偶能够测量高达1200摄氏度的温度。热电偶的标准实施需要使用外围硬件来测量温度。通过本文,展示了如何使用Java使用定制的API直接将热电偶与Xbee无线电模块连接起来,而无需使用任何外围硬件或微控制器。实时数据通过图形存储和分析。
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引用次数: 1
Fuzzy Based Integrated Diagnostic System for Neurodevelopmental Disorders 神经发育障碍的模糊综合诊断系统
Gurjot Kaur, D. Kakkar
Preliminary studies have discussed numerous diagnostic techniques for detection of Neurodevelopmental disorders (Autism Spectrum Disorder, Attention Deficit Hyperactivity Disorder, Learning Disabilities, Intellectual Disabilities etc). The fuzzy based-systems have also been proposed considering the heterogeneous nature of the disorders. But, these techniques are detecting the disorders individually and lack in detecting their co-morbidities. The present paper has considered the co-morbid factors along with the disorders ASD, ADHD and ID in individuals. The most distinguishing symptoms of these disorders are categorized into most affected areas such as social, emotional, behavioral and conceptual domains and fed to the Fuzzy Rule Based (FRB) system. This expert system has distinguished these disorders as well as their co-morbidities on a single platform. Hence, the present paper has provided an integrated approach to diagnose the co-morbidities and extremities leading to the variations in disorders.
初步研究已经讨论了许多检测神经发育障碍(自闭症谱系障碍、注意缺陷多动障碍、学习障碍、智力障碍等)的诊断技术。考虑到疾病的异质性,也提出了基于模糊的系统。但是,这些技术是单独检测疾病,缺乏检测其合并症。本文研究了个体中与ASD、ADHD和ID障碍的共病因素。这些疾病最明显的症状被分类到最受影响的领域,如社会、情感、行为和概念领域,并输入到基于模糊规则(FRB)的系统中。该专家系统在单一平台上区分了这些疾病及其合并症。因此,本文提供了一种综合的方法来诊断合并症和导致疾病变化的肢体。
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引用次数: 3
Sorting by Reversals: A Faster Approach for Building Overlap Forest 逆向排序:建立重叠森林的一种更快的方法
N. Garg, Manubhav Jain, Sugandha Singhania, Parinay Prateek, Prantik Biswas, Indu Chawla
The problem of computing the reversal distance and determining a sequence of reversals to transform a genome in molecular biology is a powerful tool to derive relationships between genes. Given two signed permutations, we need to find the shortest sequence of reversals to transform one into another. The foremost polynomial-time algorithm to calculate the reversal distance used an overlap graph formed from the permutation to find connected components and then identified graph structures like hurdles. Previous researchers have used a Union-Find structure, an $mathbf{O}(mathbf{n}alpha(mathbf{n}))$ algorithm ($alpha$->inverse Ackerman function) to determine the connected components. A linear time algorithm for finding the connected components, which was a faster implementation of the existing works was proposed later. This algorithm is applied to an unsigned extension of the signed permutation. In the first scan, cycles in a breakpoint graph were located. Then in a second scan, an overlap forest is formed which gave all the connected components of the permutation. In this paper, we optimize the existing algorithm to construct the overlap forest by reducing a scan of the unsigned permutation.
在分子生物学中,计算反转距离和确定反转序列以转化基因组的问题是推导基因间关系的有力工具。给定两个有符号的排列,我们需要找到最短的反转序列来将一个转换成另一个。最先进的计算反转距离的多项式时间算法是使用由排列形成的重叠图来寻找连接分量,然后识别图结构(如障碍)。先前的研究人员使用了Union-Find结构,即$mathbf{O}(mathbf{n}alpha(mathbf{n}))$算法($alpha$->逆Ackerman函数)来确定连接的组件。随后提出了一种线性时间算法来查找连接分量,这是对现有工作的更快实现。该算法应用于有符号排列的无符号扩展。在第一次扫描中,找到断点图中的循环。然后在第二次扫描中,形成一个重叠森林,其中给出了排列的所有连接组件。在本文中,我们通过减少对无符号排列的扫描来优化现有的算法来构建重叠森林。
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引用次数: 0
期刊
2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)
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