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Smarter Way to Monitor and Detect Intrusions in Cloud Infrastructure using sensor-Driven Edge Computing

Smarter Way to Monitor and Detect Intrusions in Cloud Infras...

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Computing, Power and Communication Technologies (IC2PCT), IEEE International conference on

作者： B Venkateswara Reddy Khader Basha Sk Kusuma Polanki Sai Srinivas Vellela Lavanya Dalavai Lakshma Reddy Vuyyuru K Kiran Kumar Dept. of CSE-Cyber Security Chalapathi Institute of Technology Guntur AP India Dept. of CSE-Data Science Chalapathi Institute of Technology Guntur AP India Dept. of CSE Chalapathi Institute of Technology Guntur AP India Dept. of CSE Koneru Lakshmaiah Education Foundation Vaddeswaram AP India

In today's linked world, essential infrastructure must be protected from unauthorized access. Traditional security measures often depend on closed-circuit television (CCTV) systems for perimeter monitoring. However, developing technologies provide substantial opportunity for improving security standards. This study presents a novel technique for achieving enhanced real-time, long-range object monitoring capabilities by combining modern edge computing and a varied spectrum of sensors, including LiDAR (Light Detection and Ranging) and ultrasonic sensors. LiDAR and ultrasonic sensors outperform traditional video cameras by offering real-time, long-range object monitoring capabilities, making them suitable for critical infrastructure security. However, these sensors create complex 3D point cloud data, which presents issues for data transmission and storage. To overcome this problem, we suggest implementing an enhanced edge computing architecture. The suggested architecture optimizes data transmission by compressing and centralizing point cloud data at the network's edge. This strategy reduces the demand on network resources by transferring computing activities to edge devices, allowing for real-time monitoring. Furthermore, the optimized data is smoothly transported to cost-effective Cloud-based servers provide effective resource utilization while protecting the security system. This research not only introduces a novel security paradigm for critical infrastructure but also contributes to the wider discourse on edge computing applications. By combining advanced sensors and edge computing technology, our approach not only enhances security but also ensures scalability, cost-effectiveness, and real-time responsiveness. The findings of this study have significant. Implications for the design and implementation of future security systems, emphasizing the importance of leveraging cutting-edge technologies to safeguard vital assets and infrastructure.

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PROTEIN MICROARRAY AND HPV PROTEIN INTERACTIONS USING EUKARYOTIC CELL-FREE TRANSLATION systems

PROTEIN MICROARRAY AND HPV PROTEIN INTERACTIONS USING EUKARY...

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Asia conference on Nanoscience and Nanotechnology Abstracts Book

作者： YONG-WAN KIM WOOCHANG LEE DOO-BONG LEE SEUNGJOON JUN JEONG-WOO CHOI Department of Chemical and Biomolecular Engineering Sogang University Seoul Korea Department of Chemical and Biomolecular Engineering Sogang University Seoul Korea Department of Chemical and Biomolecular Engineering Sogang University Seoul Korea Department of Chemical and Biomolecular Engineering Sogang University Seoul Korea Department of Chemical and Biomolecular Engineering Sogang University Seoul Korea

Generally, after high-risk HPV infection, E6 and E7 oncoproteins are consistently expressed, and essential for immortalization and transformation of human squamous epithelial cells. The E6 and E7 proteins form complexes with p53 and Rb, respectively, inhibiting the activities of the proteins in cell cycle regulatory systems. These selective degradations of tumor suppressor proteins are strategically very important in gene therapy, as the inactivation of p53 and Rb is essential for the induction of cervical carcinoma. Biosensor technology based on the surface plasmon resonance (SPR) technique has been developed for the measurement of binding kinetics between a biomolecule in complex biological media and its binding partner immobilized on a sensor surface with high specificity and sensitivity, with a short detection time, and with simplicity. applications of the SPR biosensor include the study of receptor-ligand interactions, the formation of signaling complexes, epitope mapping and protein-DNA binding. However, the enhancement of sensitivity is required to detect the peptide-antibody binding and protein-protein binding, as the concentrations of biomolecules in a biological system are extremely low.

关键词： Cervical neoplasia human papilloma virus surface plasmon resonance

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A practical comparison between filtering algorithms for enhanced RFID localization in smart environments

A practical comparison between filtering algorithms for enha...

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International conference on Information, Intelligence, systems and applications

作者： Jean-Sébastien Bilodeau Dany Fortin-Simard Sebastien Gaboury Bruno Bouchard Abdenour Bouzouane LIARA Lab. Univ. du Quebec a Chicoutimi Chicoutimi QC Canada

ISBN: (纸本)9781467393126

The rapid adoption of wireless technologies has increased the interest of many laboratories about the field of Wireless sensor Network (WSN) or the Radio-Frequency Identification (RFID) technology which has emerged as a winning combination for the implementation of an advanced assistance system within smart environments. To fulfill the important mission of a technological assistance, an algorithm first had to identify the ongoing activities of its user by tracking everyday life objects in real time using, for example, passive RFID tags. To increase the quality of information extracted from the objects localization by properly using the Received Signal Strength Indicator (RSSI), this paper explores Kalman filter, particle filter and few others filtering algorithm that enhances the tracking performance. It also discusses three of the most interesting methods that can be applied for the localization of objects in smart environments without requiring the installation of references tags everywhere. Finally, to increase the value, we include experiments that were conducted within a real smart home infrastructure to review the positive and negative elements of each method.

关键词： Smart environment Support service Filtering algorithm Kalman Particle filter Objects localization Trilateration Pattern matching RFID Wireless sensor network Received Signal Strength

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Enhanced Thermopower In Thermogalvanic Cells Using D2O As a Solvent

Enhanced Thermopower In Thermogalvanic Cells Using D2O As a ...

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Micro and Nanotechnology for Power Generation and Energy Conversion applications (PowerMEMS)

作者： Lixian Jiang Shohei Horike Vikas Nandal Kazuhiko Seki Qingshuo Wei National Institute of Advanced Industrial Science and Technology Japan Kobe University Japan

ISBN: (数字)9798350380200

ISBN: (纸本)9798350380217

Thermogalvanic cells have emerged as promising devices for direct heat-to-electricity conversion. In this study, we investigate the utilization of heavy water $\left(\text{D}_{2} \text{O}\right)$ as a solvent in thermogalvanic cells, with a focus on two systems: $\text{K}_{3}\left[\text{Fe}(\text{CN})_{6}\right] / \text{K}_{4}\left[\text{Fe}(\text{CN})_{6}\right] \quad$ and guanidinium chloride (GdmCl) added $\text{K}_{3}\left[\text{Fe}(\text{CN})_{6}\right] / \text{K}_{4}\left[\text{Fe}(\text{CN})_{6}\right]$. For the $\text{K}_{3}\left[\text{Fe}(\text{CN})_{6}\right] / \text{K}_{4}\left[\text{Fe}(\text{CN})_{6}\right]$ system, D 2 O consistently exhibits a higher Seebeck coefficient compared to regular water $\left(\text{H}_{2} \text{O}\right)$ across a wide range of concentration levels, which could be attributed to the dielectric constant difference of D 2 O. However, the higher internal resistance resulting from D 2 O 's higher viscosity offsets the improved Seebeck coefficient, leading to a diminished power output. For the GdmCl added $\text{K}_{3}\left[\text{Fe}(\text{CN})_{6}\right] / \text{K}_{4}\left[\text{Fe}(\text{CN})_{6}\right]$ system, the cell utilizing D 2 O not only shows a higher Seebeck coefficient but also demonstrates a higher power output, unlike the system without GdmCl addition. UV-Vis measurements and quantification of precipitated crystals provide evidence of a stronger interaction between $\text{Gdm}^{+}$ and $\text{Fe}(\text{CN})_{6}{ }^{4-}$ in D 2 O. The higher reaction equilibrium constant between $\text{Gdm}^{+}$and $\text{Fe}(\text{CN})_{6}{ }^{4}$ in D 2 O supports the observed enhancement in $S_{\text{e}}$, consistent with our previous studies. This investigation highlights the promising potential of D 2 O as a solvent in thermogalvanic cells, offering valuable insights into the intricate interplay between solvent properties, ion interactions, and thermoelectric performance.

关键词： Viscosity Water Legged locomotion Solvents Dielectric constant Crystals Thermal sensors sensor systems and applications Power systems Waste heat

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Soft Actuator for Hand Rehabilitation

Soft Actuator for Hand Rehabilitation

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IEEE International conference on Mechatronics and Automation

作者： Shuxiang Guo Fang Zhao Wei Wei Jian Guo Xin Zhao Weijie Zhang Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Tianjin University of Technology 391 Binshui Xidao Xiqing District Tianjin 300384P.R.China Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System Tianjin University of Technology 391 Binshui Xidao Xiqing District Tianjin 300384P.R.China College of Physics Optoelectronics and Energy Soochow University 1 Shizi Street Suzhou 215006 a Jiangsu P. R. China

ISBN: (纸本)9781479970995

As we all know, rigid structure is the universal form of robots. They can be controlled accurately, but are not suitable enough for applying in rehabilitation, especially for hands. Human's hands have some complicated patterns of movement and narrow joint range of motion, so rigid accessory equipment may cause secondary injury. For the purpose of avoiding this potential risk, the idea of applying soft structure to hand rehabilitation robot is presented in this paper. The soft robot is a new research direction in the field of robot industry, especially in rehabilitation. The soft actuator we presented is made of liquid silicone and thread, and can be tied to the back of human's hands. When it is inflated or deflated, a bending and stretching motion of hands follow with the deformation of soft actuators. It works by deforming repeatedly. The soft actuator has some advantages such as portable, lightweight, low-cost, safe, low-impedance and so on. It works well by the cooperation of vacuum pump which can provide incessant air and solenoid valve which is used for reversing. In the whole system, force sensing resistor and bending sensor are used in the experiments. In order to prove that the soft actuator can work smoothly, we had a test to explore the relationship between air inflow and bending angle. The result that their relationship is close to a straight line means controlling easily and working well. Beacons of these advantages the soft robots have, a wide application prospect in rehabilitation or other fields is available.

关键词： Rehabilitation Soft Actuator Portable System

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Thermal ALD of Cu via reduction of CuxO films for the advanced metallization in spintronic and ULSI interconnect systems

Thermal ALD of Cu via reduction of CuxO films for the advanc...

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Semiconductor conference Dresden

作者： Steve Mueller Thomas Waechtler Lutz Hofmann André Tuchscherer Robert Mothes Ovidiu Gordan Daniel Lehmann Francisc Haidu Marcel Ogiewa Lukas Gerlich Shao-Feng Ding Stefan E. Schulz Thomas Gessner Heinrich Lang Dietrich R.T. Zahn Xin-Ping Qu Center for Microtechnologies Chemnitz University of Technology Chemnitz Germany Department of Inorganic Chemistry Chemnitz University of Technology Chemnitz Germany Department of Semiconductor Physics Chemnitz University of Technology Chemnitz Germany Fraunhofer Center Nanoelectronic Technologies Dresden Germany State Key Laboratory of ASIC and System Department of Microelectronics Fudan University Shanghai China

In this work, an approach for copper atomic layer deposition (ALD) via reduction of Cu x O films was investigated regarding applications in ULSI interconnects, like Cu seed layers directly grown on diffusion barriers (e. g. TaN) or possible liner materials (e. g. Ru or Ni) as well as non-ferromagnetic spacer layers between ferromagnetic films in GMR sensor elements, like Ni or Co. The thermal Cu x O ALD process is based on the Cu (I) β-diketonate precursor [( n Bu 3 P) 2 Cu(acac)] and a mixture of water vapor and oxygen (“wet O 2 ”) as co-reactant at temperatures between 100 and 130°C. Highly efficient conversions of the Cu x O to metallic Cu films are realized by a vapor phase treatment with formic acid (HCOOH), especially on Ru substrates. Electrochemical deposition (ECD) experiments on Cu ALD seed/Ru liner stacks in typical interconnect patterns are showing nearly perfectly filling behavior. For improving the HCOOH reduction on arbitrary substrates, a catalytic amount of Ru was successful introduced into the Cu x O films during the ALD with a precursor mixture of the Cu (I) β-diketonate and an organometallic Ru precursor. Furthermore, molecular and atomic hydrogen were studied as promising alternative reducing agents.

关键词： Copper Films Nickel Substrates Ultra large scale integration Atomic layer deposition Sputtering

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Modular Multilevel Converter with Minimum Arm Inductance and Automatic Sub-module Voltage Balance - Y-Matrix Modulation and its Theoretical Proof of the Automatic Voltage Balance

Modular Multilevel Converter with Minimum Arm Inductance and...

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Annual IEEE conference on Applied Power Electronics conference and Exposition (APEC)

作者： Qichen Yang Hamed Pourgharibshahi Robson Bauwelz Gonzatti Sandro Martin Hui Li Fang Peng Center for Advanced Power Systems Florida State University Tallahassee U.S.

ISBN: (数字)9781728148298

ISBN: (纸本)9781728148304

The modular multilevel converter (MMC) is one of the most promising topologies for high- and medium-voltage applications. However, the conventional MMC relies on large arm inductance and complicated feedback control to maintain submodule (SM) capacitor voltages balanced, which requires a large number of voltage sensors and complicated arm current control loops. In contrast to the conventional perspective, the MMC can be regarded as a derivative from the general multilevel topology based on switched-capacitor (SC) structure. The SC structure endows excellent properties to the MMC, such as minimum or no arm inductor and automatic SM capacitor voltage balancing capability. This MMC with minimum or no arm inductor is named as SC-MMC. Since the arm inductances are very small, the SM capacitor voltages can be balanced automatically. Small stray/parasitic inductance is enough to limit inrush current during SM's switching instants to the rated current level. To unleash the automatic SM capacitor voltage balancing capability of the SC-MMC, a Y-matrix modulation (YMM) has been proposed, which does not require closed loop control or any sensor, has no limitations on the number of SMs, and works for both half-bridge and full-bridge SMs. An unresolved issue of the emerging YMM is that, in the published literature, the existence of the Y matrix with full rank has not been proved theoretically beyond the observation for the SC-MMC when the number of SMs is large. In this paper, an analytical proof of the existence of the full rank Y matrix is provided, which implies the automatic voltage balance of SMs for the MMC with arbitrary number of SMs in each arm. Simulation results using the YMM on a 21-level SC-MMC with minimum arm inductance are provided to verify the voltage balance theory/observation of the SC-MMC using the YMM.

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Sequential Motif Profiles and Topological Plots for Offline Signature Verification

Sequential Motif Profiles and Topological Plots for Offline ...

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conference on Computer Vision and Pattern Recognition (CVPR)

作者： Elias N. Zois Evangelos Zervas Dimitrios Tsourounis George Economou University of West Attica Ancient olive grove campus Greece University of Patras Patras Greece

ISBN: (数字)9781728171685

ISBN: (纸本)9781728171692

In spite of the overwhelming high-tech marvels and applications that rule our digital lives, the use of the handwritten signature is still recognized worldwide in government, personal and legal entities to be the most important behavioral biometric trait. A number of notable research approaches provide advanced results up to a certain point which allow us to assert with confidence that the performance attained by signature verification (SV) systems is comparable to those provided by any other biometric modality. Up to now, the mainstream trend for offline SV is shared between standard -or handcrafted- feature extraction methods and popular machine learning techniques, with typical examples ranging from sparse representation to Deep Learning. Recent progress in graph mining algorithms provide us with the prospect to re-evaluate the opportunity of utilizing graph representations by exploring corresponding graph features for offline SV. In this paper, inspired by the recent use of image visibility graphs for mapping images into networks, we introduce for the first time in offline SV literature their use as a parameter free, agnostic representation for exploring global as well as local information. Global properties of the sparsely located content of the shape of the signature image are encoded with topological information of the whole graph. In addition, local pixel patches are encoded by sequential visibility motifs-subgraphs of size four, to a low six dimensional motif profile vector. A number of pooling functions operate on the motif codes in a spatial pyramid context in order to create the final feature vector. The effectiveness of the proposed method is evaluated with the use of two popular datasets. The local visibility graph features are considered to be highly informative for SV; this is sustained by the corresponding results which are at least comparable with other classic state-of-the-art approaches.

关键词： Feature extraction Handwriting recognition Computer vision Machine learning Time series analysis sensor phenomena and characterization

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AIoT Blind Stick Based Independent Navigation with Enhanced YOLO Object Detection

AIoT Blind Stick Based Independent Navigation with Enhanced ...

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Mobile Networks and Wireless Communications (ICMNWC), IEEE International conference on

作者： S. Hariprasad N. Bharathiraja Deepa. T R. K. Nehaa Daniel Joseph Samuel S. N. Dhivya Sri Department of Computational Intelligence SRM Institute of Science and Technology Kattankulathur Chennai India Department of Biomedical Engineering Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College Avadi Tiruvallur India Department of Electronics and Communication Engineering SRM Institute of Science and Technology Kattankulathur Chennai India Masters in Biomedical engineering Hochschule Furtwangen University University in Villingen-Schwenningen Baden-Württemberg Department of Biomedical Engineering Totonto Metropolitan University Toronto Canada

ISBN: (数字)9798331528348

ISBN: (纸本)9798331528355

Nowadays, Artificial Intelligence (AI) and the Internet of Things (IoT) herald a transformative leap in assistive technologies, epitomized by the AIoT Blind Stick. This smart mobility aid the computational prowess of the Raspberry Pi to process a multitude of sensory inputs, delivering realtime environmental awareness to visually impaired users. The system provides auditory and haptic feedback to navigate complex urban landscapes safely and is equipped with GPS for location tracking, ultrasonic sensors for obstacle detection, and a camera interfaced with advanced object detection algorithm using YOLO8. Voice Based assistance given based on the object detected at each frame. The proposed YOLOv8m model demonstrates superior detection performance, achieving the highest Average Precision (AP) of 50.4 among the evaluated models. Although the frame rate (FPS) of 137 is slightly lower than that of the smaller models (YOLOv5s and YOLOv8s), it provides a significant balance between accuracy and processing speed, making it highly suitable for real-time object detection applications where precision is critical, such as assistive technologies for the visually impaired.

关键词： YOLO Navigation Heuristic algorithms Assistive technologies Real-time systems Internet of Things Reliability Artificial intelligence Intelligent sensors sensor arrays

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Optimal Defense Strategy against Evasion Attacks

Optimal Defense Strategy against Evasion Attacks

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International conference on Mobile Ad-hoc and sensor Networks, MSN

作者： Jiachen Wu Jipeng Li Yan Wang Yanru Zhang Yingjie Zhou College of Computer Science Sichuan University IntelliGame Lab School of Computer Science and Engineering University of Electronic Science and Technology of China Institute of Networks and Intelligent Systems Sichuan University

ISBN: (数字)9781728199160

ISBN: (纸本)9781728192369

Recent detection method based on machine learning demonstrates significant advantages against varieties of network attacks, and has been widely deployed in cloud applications. However, novel attacks such as advanced Persistent Threats (APTs) could evade detection of the intrusion detection system, which may lead to serious data leakage in cloud. Existing methods studied the countermeasures to defend against evasion attacks. However, a cloud service provider (CSP) also have to balance between its expect revenue and the security risk of system with limited resources. In this paper, we present the CSP's optimal strategy for effective and safety operation, in which the CSP decides the size of users that the cloud service will provide and whether enhanced countermeasures will be conducted for discovering the possible evasion attacks. While the CSP tries to optimize its profit by carefully making a two-step decision of the defense plan and service scale, the attacker considers its expected revenue to launch evasion attacks or not. To obtain insights of such a highly coupled system, we consider a system with one CSP and one attacker with two attack choices of whether to launch an evasion attack. We propose a two-stage Stackelberg game, in which the CSP acts as the leader who decides the defense plan and service scale in Stage I, and the attacker acts as the follower that determines whether to make evasion attacks in Stage II. We derive the Nash Equilibrium by analyzing the attacker's choices under different scenarios that the CSP selects. Then, we provide the CSP's optimal strategies to maximize its revenue. The simulation results help to better understand the CSP's optimal solutions under different situations.

关键词： Simulation Games Numerical simulation Safety sensors Security Optimization

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