检索结果-南通市图书馆

Protected simultaneous quantum remote state preparation scheme by weak and reversal measurements in noisy environments

在线全文

学校读者我要写书评

暂无评论

Chinese Physics B 2024年第2期33卷 169-177页

作者： Mandal manoj kumar Choudhury Binayak S. Samanta Soumen Department of Mathematics Indian Institute of Engineering Science and TechnologyShibpur B.GardenHowrah 711103West BengalIndia

We discuss a quantum remote state preparation protocol by which two parties, Alice and Candy, prepare a single-qubit and a two-qubit state, respectively, at the site of the receiver Bob. The single-qubit state is known to Alice while the two-qubit state which is a non-maximally entangled Bell state is known to Candy. The three parties are connected through a single entangled state which acts as a quantum channel. We first describe the protocol in the ideal case when the entangled channel under use is in a pure state. After that, we consider the effect of amplitude damping(AD) noise on the quantum channel and describe the protocol executed through the noisy channel. The decrement of the fidelity is shown to occur with the increment in the noise parameter. This is shown by numerical computation in specific examples of the states to be created. Finally, we show that it is possible to maintain the label of fidelity to some extent and hence to decrease the effect of noise by the application of weak and reversal measurements. We also present a scheme for the generation of the five-qubit entangled resource which we require as a quantum channel. The generation scheme is run on the IBMQ platform.

关键词： multi-qubit entangled channel quantum remote state preparation noisy environments weak and reversal measurements

Highly Efficient Back‑End‑of‑Line Compatible Flexible Si‑Based Optical Memristive Crossbar Array for Edge Neuromorphic Physiological Signal Processing and Bionic Machine Vision

在线全文

学校读者我要写书评

暂无评论

Nano-Micro Letters 2024年第11期16卷 323-339页

作者： Dayanand kumar Hanrui Li Dhananjay D.Kumbhar manoj kumar Rajbhar Uttam kumar Das Abdul Momin Syed Georgian Melinte Nazek El‑Atab Smart Advanced Memory Devices and Applications(SAMA)LaboratoryElectrical and Computer EngineeringComputer Electrical Mathematical Science and EngineeringKing Abdullah University of Science and Technology(KAUST)23955‑6900 ThuwalSaudi Arabia

The emergence of the Internet-of-Things is anticipated to create a vast market for what are known as smart edge devices,opening numerous opportunities across countless domains,including personalized healthcare and advanced *** 3D integration,edge devices can achieve unprecedented miniaturization while simultaneously boosting processing power and minimizing energy ***,we demonstrate a back-end-of-line compatible optoelectronic synapse with a transfer learning method on health care applications,including electroencephalogram(EEG)-based seizure prediction,electromyography(EMG)-based gesture recognition,and electrocardiogram(ECG)-based arrhythmia *** experiments on three biomedical datasets,we observe the classification accuracy improvement for the pretrained model with 2.93%on EEG,4.90%on ECG,and 7.92%on EMG,*** optical programming property of the device enables an ultralow power(2.8×10^(-13) J)fine-tuning process and offers solutions for patient-specific issues in edge computing ***,the device exhibits impressive light-sensitive characteristics that enable a range of light-triggered synaptic functions,making it promising for neuromorphic vision *** display the benefits of these intricate synaptic properties,a 5×5 optoelectronic synapse array is developed,effectively simulating human visual perception and memory *** proposed flexible optoelectronic synapse holds immense potential for advancing the fields of neuromorphic physiological signal processing and artificial visual systems in wearable applications.

关键词： Neuromorphic computing Electrophysiological signal Artificial vision system Image recognition Memristor

Predicting potential invasion risks of Leucaena leucocephala(Lam.)de Wit in the arid area of Saudi Arabia

在线全文

学校读者我要写书评

暂无评论

Journal of Arid Land 2024年第7期16卷 983-999页

作者： Haq S MARIFATUL Darwish MOHAMMED Waheed MUHAMMAD kumar manoj Siddiqui H MANZER Bussmann W RAINER Department of Ethnobotany Institute of BotanyIlia State UniversityTbilisi 0162Georgia The Centre of Excellence on Sustainable Land Management(CoE-SLM) Indian Council of Forestry Research and EducationDehradun 248006India Department of Botany and Microbiology College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia Department of Botany State Museum for Natural HistoryKarlsruhe 76133Germany

The presence of invasive plant species poses a substantial ecological impact,thus comprehensive evaluation of their potential range and risk under the influence of climate change is *** study uses maximum entropy(MaxEnt)modeling to forecast the likelihood of Leucaena leucocephala(Lam.)de Wit invasion in Saudi Arabia under present and future climate change *** the MaxEnt modeling,we integrated climatic and soil data to predict habitat suitability for the invasive *** conducted a detailed analysis of the distribution patterns of the species,using climate variables and ecological *** focused on the important influence of temperature seasonality,temperature annual range,and precipitation *** distribution modeling used robust measures of area under the curve(AUC)and receiver-operator characteristic(ROC)curves,to map the invasion extent,which has a high level of accuracy in identifying appropriate *** complex interaction that influenced the invasion of *** was highlighted by the environmental parameters using Jackknife ***,the actual geographic area where *** was found in Saudi Arabia was considerably smaller than the theoretical maximum range,suggesting that it had the capacity to expand *** MaxEnt model exhibited excellent prediction accuracy and produced reliable results based on the data from the ROC *** and temperature were the primary factors influencing the potential distribution of ***,an estimated area of 216,342 km^(2)in Saudi Arabia was at a high probability of invasion by *** investigated the potential for increased invasion hazards in the future due to climate change scenarios(Shared Socioeconomic Pathways(SSPs)245 and 585).The analysis of key climatic variables,including temperature seasonality and annual range,along with soil properties such as clay composition and nitrogen content,unveiled their substanti

关键词： area under the curve invasive species invasion risks climate change MaxEnt model

A Simple Primary Key Algorithm Based Shade Dispersion Method for Maximizing PV Power Generation under Partial Shading Conditions

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Electrical Engineering 2024年第2期10卷 93-102页

作者： Prabhakaran Koothu Kesavan A.Karthikeyan manoj kumar Sushant Mandal Renewable Energy Laboratory Prince Sultan UniversityRiyadh 11586Saudi Arabia Department of Electrical and Electronics Engineering National Institute of Technology KarnatakaMangalore 575025India

The output power generation of a photovoltaic(PV)array reduces under partial shading,resulting in multiple local maxima in the PV characteristics and inaccurate tracking of the global maximum power point(GMPP).Various interconnection schemes are available to reduce power losses under partial *** this study,a primary key algorithm is proposed for distributing shading across an *** method is suitable for any n×n PV array configuration and involves fewer calculations and variables,leading to reduced computational *** power generations of a 9×9 PV array under four different shading conditions were compared with the configurations of:total cross-tied(TCT)and Su Du Ku,physical relocation and fixed column position of modules with fixed electrical connection(PRFCPM-FEC),and magic square(MS)and improved-odd-even-prime(IOEP).The advantage of the proposed method is that once the primary key elements are obtained,the remaining array elements are numbered in a simpler *** results obtained using the proposed arrangement show that the power is enhanced with reference to the TCT and is comparable to the Su Do Ku,PRFCPM-FEC,MS,and IOEP reconfigurations.

关键词： Photovoltaic(PV)array partial shading global maximum power point(GMPP) power loss primary key

***: SAR Deforestation Classification of Amazon Forest for Land Use Land Cover Application

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Computer and Communications 2024年第3期12卷 68-83页

作者： Priyanka Darbari Ankush Agarwal manoj kumar Computer Engineering and Application GLA University Mathura India Department of Information Technology GGV Bilaspur India

The process of turning forest area into land is known as deforestation or forest degradation. Reforestation as a fraction of deforestation is extremely low. For improved qualitative and quantitative classification, we used Sentinel-1 dataset of State of Para, Brazil to precisely and closely monitor deforestation between June 2019 and June 2023. This research aimed to find out suitable model for classification called Satellite Imaging analysis by Transpose deep neural transformation network (SIT-net) using mathematical model based on Band math approach to classify deforestation applying transpose deep neural network. The main advantage of proposed model is easy to handle SAR images. The study concludes that SAR satellite gives high-resolution images to improve deforestation monitoring and proposed model takes less computational time compared to other techniques.

关键词： Brazilian Amazon Sentinel-1 Band Math Transpose CNN Transformation Network

Correction:Highly Efficient Back-End-of-Line Compatible Flexible Si-Based Optical Memristive Crossbar Array for Edge Neuromorphic Physiological Signal Processing and Bionic Machine Vision

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Nano-Micro Letters 2024年第12期16卷 133-133页

作者： Dayanand kumar Hanrui Li Dhananjay D.Kumbhar manoj kumar Rajbhar Uttam kumar Das Abdul Momin Syed Georgian Melinte Nazek El-Atab Smart Advanced Memory Devices and Applications(SAMA)LaboratoryElectrical and Computer EngineeringComputer Electrical Mathematical Science and EngineeringKing Abdullah University of Science and Technology(KAUST)23955-6900 ThuwalSaudi Arabia

Following publication of the original article[1],the authors noticed a mistake in the Supplementary file,more specifically in figures S11 and S12 where they used by mistake the same *** original article[1]has been cor... 详细信息

关键词： Mem Crossbar Highly

Information hiding with adaptive steganography based on novel fuzzy edge identification

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Defence Technology（防务技术） 2019年第2期15卷 162-169页

作者： Sanjeev kumar Amarpal Singh manoj kumar I.K.G Punjab Technical University Department of ECE Beant College of Engineering & Technology DAV Institute of Engineering & Technology

The evolution in communication techniques has created wide threats for crucial information transfer through a communication channel. Covert communication with steganography is a skill of concealing secret information within cover object and hence shields the data theft over rapidly growing ***, diverse steganography techniques using edge identification have been proposed in *** methods however utilize certain pixels in the cover image for inserting edge information,resulting in significant deformation. The conventional edge detection method limits the deployment of edge detection in steganography as concealing the information would introduce some variations to the cover image. Hence inserting data in pixel areas recognized by existing conventional edge detection techniques like canny cannot ensure the recognition of the exact edge locations for the cover and stego images. In this paper, an Adaptive steganography method based on novel fuzzy edge identification is proposed. The method proposed is proficient of estimating the precise edge areas of a cover image and also ensures the exact edge location after embedding the secret message. Experimental results reveal that the technique has attained good imperceptibility compared to the Hayat AI-Dmour and Ahmed AIAni Edge XOR method in spatial domain.

关键词： Information security Adaptive steganography Fuzzy edge detection Pattern recognition

Hybrid tracking model and GSLM based neural network for crowd behavior recognition

在线全文

学校读者我要写书评

暂无评论

Journal of Central South University 2017年第9期24卷 2071-2081页

作者： manoj kumar Charul Bhatnagar Department of Computer Engineering and Applications GLA UniversityMathuraIndia

Crowd behaviors analysis is the‘state of art’research topic in the field of computer vision which provides applications in video surveillance to crowd safety,event detection,security,*** presents some of the works related to crowd behavior detection and *** crowd behavior detection,varying density of crowds and motion patterns appears to be complex occlusions for the *** work presents a novel crowd behavior detection system to improve these *** proposed crowd behavior detection system is developed using hybrid tracking model and integrated features enabled neural *** object movement and activity in the proposed crowded behavior detection system is assessed using proposed GSLM-based neural *** based neural network is developed by integrating the gravitational search algorithm with LM algorithm of the neural network to increase the learning process of the *** performance of the proposed crowd behavior detection system is validated over five different videos and analyzed using *** experimentation results in the crowd behavior detection with a maximum accuracy of 93%which proves the efficacy of the proposed system in video surveillance with security concerns.

关键词： crowd video crowd bohavior tracking recognition neural network gravitational search algorithm

Gene transfer of somatostatin receptor type 2 by intratumoral injection inhibits established pancreatic carcinoma xenografts

在线全文

学校读者我要写书评

暂无评论

World Journal of Gastroenterology 2005年第4期11卷 516-520页

作者： manoj kumar Department of General Surgery Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan 430030 Hubei Province China

AIM: To investigate the therapeutic effect of somatostatin receptor type 2 (SSTR2) gene transfection on pancreatic carcinoma xenografts in vivo in experimental cancers. METHODS: Human pancreatic cancer cell line Panc-1 was inoculated subcutaneously into the back of nude mice. When tumor nodules were grown as large as about 5 mmx5 mm days after inoculation, the mice were randomly divided into 3 groups (6 mice in each group). Group Ⅰ served as untreated control group. Group Ⅱ received an intratumoral injection of a combination of human cytomegalovirus promoter-6C (pCMV-6C) and lipofectamine 2000. Group Ⅲ received an intratumoral injection of a combination of pCMV-6C-SSTR2 and lipofectamine 2000. The rate of tumor growth was compared among these three groups. The expression of SSTR2 in these tumors was detected by immunohistochemistry and Western-blot. Apoptosis index (AI) in these tumors was examined by using TUNEL in situ. RESULTS: Intratumoral injection of a combination of pCMV-6C-SSTR2 and lipofectamine 2000 resulted in the expression of SSTR2 protein. The tumor size and weight in group Ⅲ (0.318±0.098 cm3, and 0.523±0.090 g, respectively) were significantly lower than those in group I (2.058±0.176 cms, and 1.412±0.146 g, respectively) and group Ⅱ (2.025±0.163 cm3, and 1.365±0.116 g, respectively) (P<0.05) The AI in group Ⅲ (1.47±0.13%) was significantly higher than that in groupⅠ(0.56±0.09%) and group Ⅱ (0.57±0.11%) (P<0.05). But there were no significant differences between groups Ⅰ and Ⅱ. CONCLUSION: Our data demonstrate that re-expression of SSTR2 gene has antitumor effects on experimental pancreatic cancer. Restoration of SSTR2 gene expression through gene transfer in vivo might be a potential gene therapy strategy for human pancreatic cancer.

关键词： Pancreatic Cancer Xenografts Somatostatin receptor type 2 Transfection