This document discusses integrating two assembly lines, Line A and Line B, based on lean line design concepts. It begins by calculating the customer takt time and planned cycle time for each line. It then assesses the current layout and process flow for both lines. Manual times for each station are measured using MTM/UAS analysis. Improvement opportunities are identified and manual times are recalculated. The lines are then integrated by designing a new layout with the operations of Line B incorporated into Line A to better utilize space and operators. Operator balance charts are created for the new integrated line to distribute work and ensure tasks can be completed within the planned cycle time.
Laporan ini membincangkan proses penuaian, penggradan, dan pemasaran untuk dua tanaman komersial, yaitu cili dan jamur tiram. Ia menjelaskan bahwa penuaian cili dilakukan berdasarkan kematangan buah, sementara jamur dipetik pada waktu yang tepat untuk memastikan kualitas. Kedua tanaman kemudian digrading dan dibungkus sebelum dijual kepada pasar lokal seperti FAMA dan
This document discusses quantum cryptography and its advantages over traditional cryptography. It begins by introducing cryptography and its goal of maintaining confidentiality of data. It then describes how quantum cryptography uses principles of quantum mechanics like photon polarization and Heisenberg's uncertainty principle to securely distribute keys. The document reviews existing quantum cryptography protocols like BB84 and E91. It also discusses challenges in technologies for generating and detecting single photons needed for quantum cryptography. In conclusion, the document explains how quantum cryptography provides secure key distribution using physics rather than mathematics, making it more secure than other cryptographic techniques.
Vamp on digitaalstuudio, kelle eesmärk on aidata ettevõtetel saada kasu järjest rohkematest inimestest, kes külastavad interneti kasutades mobiiltelefoni. Mobiiltelefonidega veebi külastamine on midagi muud, kui tavaarvutis ja tänu sellele peab ka mobiilis tehtav erinema.
Vamp Digitalist saad:
Uue, mobiilisõbraliku kodulehe;
vajadusel nutitelefoni rakenduse;
QR-koodi kampaania või NFC kampaania
Google AdWords mobiilidele kohandatud kampaania.
This document summarizes recent research on security issues related to single cloud and multi-cloud storage models. It finds that relying on a single cloud service provider poses risks to data availability and integrity if the provider experiences an outage. Storing data across multiple cloud providers (a multi-cloud model) can help address these issues but may increase costs. The document surveys various techniques proposed in recent research to improve security, availability, and integrity in single and multi-cloud environments, such as homomorphic tokens, file division, and the Depsky model. It concludes that while single cloud has been more widely researched, multi-cloud is an important area of ongoing work to help overcome the security and cost challenges of cloud storage.
This document summarizes a research paper that proposes a design for a secure, Wi-Fi integrated electricity meter called an Impregnable Device for Secured Metering (IDSM). The IDSM consists of a sophisticated meter with additional security features compared to traditional meters. It uses Wi-Fi communication, a microcontroller, and a centralized monitoring and control unit. Random number addressing cryptography (RAC) is chosen as the most secure encryption technique. The meter in each home connects via a wireless network to a server that calculates billing amounts and sends updates to be displayed on the home meter, reducing labor while increasing transparency. The design aims to provide secure communication at high speeds with an advanced metering system and unique database backend.
This document discusses integrating two assembly lines, Line A and Line B, based on lean line design concepts. It begins by calculating the customer takt time and planned cycle time for each line. It then assesses the current layout and process flow for both lines. Manual times for each station are measured using MTM/UAS analysis. Improvement opportunities are identified and manual times are recalculated. The lines are then integrated by designing a new layout with the operations of Line B incorporated into Line A to better utilize space and operators. Operator balance charts are created for the new integrated line to distribute work and ensure tasks can be completed within the planned cycle time.
Laporan ini membincangkan proses penuaian, penggradan, dan pemasaran untuk dua tanaman komersial, yaitu cili dan jamur tiram. Ia menjelaskan bahwa penuaian cili dilakukan berdasarkan kematangan buah, sementara jamur dipetik pada waktu yang tepat untuk memastikan kualitas. Kedua tanaman kemudian digrading dan dibungkus sebelum dijual kepada pasar lokal seperti FAMA dan
This document discusses quantum cryptography and its advantages over traditional cryptography. It begins by introducing cryptography and its goal of maintaining confidentiality of data. It then describes how quantum cryptography uses principles of quantum mechanics like photon polarization and Heisenberg's uncertainty principle to securely distribute keys. The document reviews existing quantum cryptography protocols like BB84 and E91. It also discusses challenges in technologies for generating and detecting single photons needed for quantum cryptography. In conclusion, the document explains how quantum cryptography provides secure key distribution using physics rather than mathematics, making it more secure than other cryptographic techniques.
Vamp on digitaalstuudio, kelle eesmärk on aidata ettevõtetel saada kasu järjest rohkematest inimestest, kes külastavad interneti kasutades mobiiltelefoni. Mobiiltelefonidega veebi külastamine on midagi muud, kui tavaarvutis ja tänu sellele peab ka mobiilis tehtav erinema.
Vamp Digitalist saad:
Uue, mobiilisõbraliku kodulehe;
vajadusel nutitelefoni rakenduse;
QR-koodi kampaania või NFC kampaania
Google AdWords mobiilidele kohandatud kampaania.
This document summarizes recent research on security issues related to single cloud and multi-cloud storage models. It finds that relying on a single cloud service provider poses risks to data availability and integrity if the provider experiences an outage. Storing data across multiple cloud providers (a multi-cloud model) can help address these issues but may increase costs. The document surveys various techniques proposed in recent research to improve security, availability, and integrity in single and multi-cloud environments, such as homomorphic tokens, file division, and the Depsky model. It concludes that while single cloud has been more widely researched, multi-cloud is an important area of ongoing work to help overcome the security and cost challenges of cloud storage.
This document summarizes a research paper that proposes a design for a secure, Wi-Fi integrated electricity meter called an Impregnable Device for Secured Metering (IDSM). The IDSM consists of a sophisticated meter with additional security features compared to traditional meters. It uses Wi-Fi communication, a microcontroller, and a centralized monitoring and control unit. Random number addressing cryptography (RAC) is chosen as the most secure encryption technique. The meter in each home connects via a wireless network to a server that calculates billing amounts and sends updates to be displayed on the home meter, reducing labor while increasing transparency. The design aims to provide secure communication at high speeds with an advanced metering system and unique database backend.
This document discusses a system architecture for web service based GIS. The system is designed to provide hosted spatial data and GIS functionality through web services to allow for integration with various customized application systems. The web services can be used to perform basic geo-processing tasks like address matching, map display, and routing without needing to maintain the underlying geographical data. The system implements open standards like WMS, WFS, and GML. It has a multi-layer architecture with interfaces for web services, servlets/JSPs, and GIS APIs built on a J2EE framework. The system provides a distributed platform for sharing geospatial information to support applications like transportation planning.
Este documento describe los fundamentos técnicos del voleibol, incluyendo la posición correcta del receptor para recibir el saque, los pasos añadido y cruzado para desplazarse rápidamente hacia la zona de recepción, y la posición de los brazos y muñecas para dirigir efectivamente la pelota.
This document discusses Address Resolution Protocol (ARP) spoofing attacks and proposes a new approach called ASHA to secure the ARP cache and prevent ARP spoofing. ARP spoofing allows attackers to associate their own MAC address with the IP address of another host, intercepting traffic. ASHA uses public/private key cryptography and TCP packets to securely exchange IP-MAC pairs between hosts and maintain the ARP cache in static mode. Experiments show that systems using ASHA are protected from ARP attacks.
The document discusses web usage mining, which involves automatically discovering patterns in how users access and interact with web pages on a website by analyzing web server log files. It describes the three main stages of the web usage mining process: data collection and preprocessing, pattern discovery, and pattern analysis. In the preprocessing stage, user access data is cleaned and organized into user sessions. Statistical and machine learning algorithms are then used to find hidden patterns in user behavior. Discovered patterns can be used by applications like recommendation engines. The document provides details on gathering and preprocessing usage data, including identifying unique users and constructing user sessions from server logs. It also discusses applying sequential pattern mining algorithms to discover frequent traversal patterns between pages within user sessions.
This document presents a human identification system using gait recognition. The system first detects moving subjects in video sequences and extracts silhouettes using background subtraction. It then calculates motion parameters like joint angles and gait velocity from the silhouettes using Speeded Up Robust Features (SURF) descriptors. These motion parameters are classified using a Meta-sample based sparse representation method, achieving an overall classification rate of 94.6782% on a test dataset. The system provides view-invariant human identification through gait analysis.
This paper examines using a genetic algorithm to optimize singular value decomposition (SVD) for signal detection in cognitive radio networks. SVD is used to detect the presence of wireless signals by factorizing the received signal matrix. A genetic algorithm is used to optimize the number of columns in the covariance matrix input to SVD. Simulation results show the genetic algorithm optimized SVD method provides better detection probability than SVD alone, especially in low signal-to-noise ratio environments. The genetic algorithm optimized SVD is suitable for blind spectrum sensing where the properties of the signal to be detected are unknown.
This document summarizes a study on automatically detecting boundaries and regions of interest in ultrasound images of focal liver lesions. The researchers used texture analysis and gradient vector flow snakes to extract boundaries after reducing speckle noise. They tested several noise filters and found median filtering worked best, achieving the highest PSNR. Texture analysis via gray-level co-occurrence matrix extraction detected regions more accurately than range or standard deviation filters. Morphological operations and seed point determination were then used to generate the final region of interest. The proposed automatic method facilitates ultrasound image segmentation and analysis of focal liver lesions.
This document discusses feature selection techniques for intrusion detection systems. It begins with background on intrusion detection and challenges related to large datasets. It then describes three common feature selection algorithms: Correlation-based Feature Selection (CFS), Information Gain (IG), and Gain Ratio (GR). The document proposes a fusion model that applies these three algorithms to select features, then uses genetic algorithm and naive Bayes classification to evaluate performance. It conducted experiments on the KDD Cup 99 intrusion detection dataset to compare the proposed fusion method to the individual feature selection algorithms.
This document describes a vehicle theft detection system that uses radio frequency identification (RFID) technology. The system involves embedding an RFID chip in each vehicle that continuously transmits a unique identification signal. When a vehicle is stolen, the owner reports it to the police, who upload the vehicle's information to a central database. Police vehicles are equipped with RFID receivers. If a stolen vehicle passes within range of a receiver, the receiver detects the vehicle's ID signal and displays its details on a tablet. This allows police to quickly identify and recover stolen vehicles. The system aims to make it difficult for thieves to hide a vehicle's identity and allows vehicles to be tracked globally wherever the detection system is implemented.
This document summarizes research on vulnerabilities related to dynamic component loading in Windows. It discusses how DLL hijacking works by placing a malicious DLL with the same name as a legitimate one in a directory searched by an application during loading. It also describes other attacks like DLL preloading and load hijacking. The document reviews related work on detecting unsafe dynamic loading, analyzing Windows API calls to detect malware, and generating exploits for identified vulnerabilities. It concludes that the common component resolution strategy in Windows poses security risks if only file names are used during loading.
This document discusses a system architecture for web service based GIS. The system is designed to provide hosted spatial data and GIS functionality through web services to allow for integration with various customized application systems. The web services can be used to perform basic geo-processing tasks like address matching, map display, and routing without needing to maintain the underlying geographical data. The system implements open standards like WMS, WFS, and GML. It has a multi-layer architecture with interfaces for web services, servlets/JSPs, and GIS APIs built on a J2EE framework. The system provides a distributed platform for sharing geospatial information to support applications like transportation planning.
Este documento describe los fundamentos técnicos del voleibol, incluyendo la posición correcta del receptor para recibir el saque, los pasos añadido y cruzado para desplazarse rápidamente hacia la zona de recepción, y la posición de los brazos y muñecas para dirigir efectivamente la pelota.
This document discusses Address Resolution Protocol (ARP) spoofing attacks and proposes a new approach called ASHA to secure the ARP cache and prevent ARP spoofing. ARP spoofing allows attackers to associate their own MAC address with the IP address of another host, intercepting traffic. ASHA uses public/private key cryptography and TCP packets to securely exchange IP-MAC pairs between hosts and maintain the ARP cache in static mode. Experiments show that systems using ASHA are protected from ARP attacks.
The document discusses web usage mining, which involves automatically discovering patterns in how users access and interact with web pages on a website by analyzing web server log files. It describes the three main stages of the web usage mining process: data collection and preprocessing, pattern discovery, and pattern analysis. In the preprocessing stage, user access data is cleaned and organized into user sessions. Statistical and machine learning algorithms are then used to find hidden patterns in user behavior. Discovered patterns can be used by applications like recommendation engines. The document provides details on gathering and preprocessing usage data, including identifying unique users and constructing user sessions from server logs. It also discusses applying sequential pattern mining algorithms to discover frequent traversal patterns between pages within user sessions.
This document presents a human identification system using gait recognition. The system first detects moving subjects in video sequences and extracts silhouettes using background subtraction. It then calculates motion parameters like joint angles and gait velocity from the silhouettes using Speeded Up Robust Features (SURF) descriptors. These motion parameters are classified using a Meta-sample based sparse representation method, achieving an overall classification rate of 94.6782% on a test dataset. The system provides view-invariant human identification through gait analysis.
This paper examines using a genetic algorithm to optimize singular value decomposition (SVD) for signal detection in cognitive radio networks. SVD is used to detect the presence of wireless signals by factorizing the received signal matrix. A genetic algorithm is used to optimize the number of columns in the covariance matrix input to SVD. Simulation results show the genetic algorithm optimized SVD method provides better detection probability than SVD alone, especially in low signal-to-noise ratio environments. The genetic algorithm optimized SVD is suitable for blind spectrum sensing where the properties of the signal to be detected are unknown.
This document summarizes a study on automatically detecting boundaries and regions of interest in ultrasound images of focal liver lesions. The researchers used texture analysis and gradient vector flow snakes to extract boundaries after reducing speckle noise. They tested several noise filters and found median filtering worked best, achieving the highest PSNR. Texture analysis via gray-level co-occurrence matrix extraction detected regions more accurately than range or standard deviation filters. Morphological operations and seed point determination were then used to generate the final region of interest. The proposed automatic method facilitates ultrasound image segmentation and analysis of focal liver lesions.
This document discusses feature selection techniques for intrusion detection systems. It begins with background on intrusion detection and challenges related to large datasets. It then describes three common feature selection algorithms: Correlation-based Feature Selection (CFS), Information Gain (IG), and Gain Ratio (GR). The document proposes a fusion model that applies these three algorithms to select features, then uses genetic algorithm and naive Bayes classification to evaluate performance. It conducted experiments on the KDD Cup 99 intrusion detection dataset to compare the proposed fusion method to the individual feature selection algorithms.
This document describes a vehicle theft detection system that uses radio frequency identification (RFID) technology. The system involves embedding an RFID chip in each vehicle that continuously transmits a unique identification signal. When a vehicle is stolen, the owner reports it to the police, who upload the vehicle's information to a central database. Police vehicles are equipped with RFID receivers. If a stolen vehicle passes within range of a receiver, the receiver detects the vehicle's ID signal and displays its details on a tablet. This allows police to quickly identify and recover stolen vehicles. The system aims to make it difficult for thieves to hide a vehicle's identity and allows vehicles to be tracked globally wherever the detection system is implemented.
This document summarizes research on vulnerabilities related to dynamic component loading in Windows. It discusses how DLL hijacking works by placing a malicious DLL with the same name as a legitimate one in a directory searched by an application during loading. It also describes other attacks like DLL preloading and load hijacking. The document reviews related work on detecting unsafe dynamic loading, analyzing Windows API calls to detect malware, and generating exploits for identified vulnerabilities. It concludes that the common component resolution strategy in Windows poses security risks if only file names are used during loading.