Tài liệu miễn phí Kĩ thuật Viễn thông
Download Tài liệu học tập miễn phí Kĩ thuật Viễn thông
Lecture Coding and modulation in OFDM system
Lecture Coding and modulation in OFDM syste. After completing this section, you will understand the knowledge about IEEE WLAN standards and specifications: Transmitter diversity; Receiver diversity; Transceiver diversity; Modulation schemes and Convolutional coding with viterbi decoder.
4/4/2023 5:19:12 AM +00:00
Phát triển vật liệu xây dựng phù hợp với biến đổi khí hậu
Nghiên cứu trình bày biến đổi khí hậu là những biến đổi trong môi trường vật lý hoặc sinh học gây ra những ảnh hưởng có hại đáng kể đến thành phần, khả năng phục hồi hoặc sinh sản của các hệ sinh thái tự nhiên và được quản lý hoặc đến hoạt động của các hệ thống kinh tế - xã hội hoặc đến sức khỏe và phúc lợi của con người.
4/4/2023 2:57:11 AM +00:00
Need analysis of interactive karaoke multimedia to improve early childhood’s verbal communication ability
This study was aimed at determining 1) the relationship between the family culture and the children interactive karaoke multimedia product development needs, and 2) the needs level of the multimedia interactive karaoke for early childhood to improve their language skills.
4/4/2023 2:42:51 AM +00:00
Mayesian network of traffic accidents in Malaysia
The results suggests that weather plays a major role in the increase of traffic accidents, and occurs by disrupting lighting conditions which then disrupts the traffic systems. Furthermore, the results indicate that fatal accidents have a higher likelihood to occur in head-on, turn over and out of control accidents.
4/3/2023 8:48:41 PM +00:00
Ensemble meta classifier with sampling and feature selection for data with multiclass imbalance problem
The specific objectives were: 1) to improve the ensemble classifier through data-level approach (sampling and feature selection); 2) to perform experiments on sampling, feature selection, and ensemble classifier model; and 3) to evaluate the performance of the ensemble classifier.
4/3/2023 8:43:34 PM +00:00
High-level fuzzy linguistic features of facial components in human emotion recognition
This research aims to develop an artificial intelligent model based on psychological knowledge to recognize emotions by analyzing facial expressions. Moreover, the proposed model has defined high-level fuzzy linguistic features of facial components which distinguish it from existing methods that commonly use lowlevel image features.
4/3/2023 8:43:21 PM +00:00
Analysis of user requirements for a mobile augmented reality application to support literacy development amongst hearing-impaired children
The results of the study were used in the preliminary development of Word & Sign, an AR mobile application intended to aid Arab children who are hearing impaired in their linguistic development.
4/3/2023 8:43:06 PM +00:00
Validation assessments on resampling method in imbalanced binary classification for linear discriminant analysis
The analysis on the location and dispersion statistics of the performance measures was further enlightened on: (i) the effect of a resampling method on the performance of LDA, and (ii) the enhancement in the learning fairness of LDA on objects regardless of sample size, hence reducing the effect of the curse of class imbalance.
4/3/2023 8:42:55 PM +00:00
Multi - objectives memetic discrete differential evolution algorithm for solving the container pre marshalling problem
This demonstrates that using the multi-objectives approach with a combination of the Discrete Differential Evolution mutation and the Memetic Algorithm evolutionary is a suitable approach for solving multiobjectives CPMP.
4/3/2023 8:42:42 PM +00:00
An online framework for civil unrest prediction using tweet stream based on tweet weight and event diffusion
The results showed that the proposed framework outperformed the existing framework in terms of F1 score, accuracy, balanced accuracy, false acceptance rate, false rejection rate, and Matthews correlation coefficient.
4/3/2023 8:42:33 PM +00:00
An intelligent software defined networking controller component to detect and mitigate denial of service attacks
In this paper, a new SDN controller component was proposed to detect and mitigate DoS attacks in the SDN controller. POX layer three controller component was used for underlying a testbed for PacketIn messages. Any packet from the host was incremented to measure the rate of packet according to its device identification and its input port number.
4/3/2023 8:42:21 PM +00:00
Similarity distance measure and prioritization algorithm for test case prioritization in software product line testing
Result shows the effectiveness of the combination where it achieved highest average fault detection rate, attained fastest execution time for highest number of test cases and accomplished 41.25% average rate of fault detection.
4/3/2023 8:42:12 PM +00:00
Enhanced privacy protection from locationdependent attacks in location based services using spatial cloaking
This paper presents a solution to protect users from location-dependent attacks by improving the existing clique based cloaking algorithm. The main idea is to maintain maximum sized cliques required for location cloaking in an undirected graph.
4/3/2023 8:42:05 PM +00:00
Optimization of attribute selection model using bio - inspired algorithms
The aim of this paper is to investigate the use of bio-inspired search algorithms in producing optimal attribute set. This is achieved in two stages; 1) create attribute selection models by combining search method and feature selection algorithms, and 2) determine an optimized attribute set by employing bio-inspired algorithms.
4/3/2023 8:41:54 PM +00:00
Context ontology in mobile applications
The concepts from the context ontology were extracted from various resources, sorted and categorized based on types and functions for standardization purposes. Survey was given to five domain experts for evaluation of COCCC ontology in terms of its usability.
4/3/2023 8:41:47 PM +00:00
Parametric flatten T-swish: An adaptive nonlinear activation function for deep learning
The deep neural networks, these are: 1) the negative cancellation property of ReLU tends to treat negative inputs as unimportant information for the learning, resulting in performance degradation; 2) the inherent predefined nature of ReLU is unlikely to promote additional flexibility, expressivity, and robustness to the networks.
4/3/2023 8:41:38 PM +00:00
Identifying skylines in cloud databases with incomplete data
This paper introduces a new approach called Incomplete-data Cloud Skylines (ICS) aiming at processing skyline queries in cloud databases with incomplete data. This approach emphasizes on reducing the amount of data transfer and domination tests during skyline process.
4/3/2023 8:41:30 PM +00:00
A new approach for video concept detection based on user comments
The results demonstrated that the proposed approach was able to extract accurate data and concepts from the comments that could be used to ease the retrieval of videos. The findings supported the research effort of working on the visual and audio contents of the videos.
4/3/2023 8:41:23 PM +00:00
Knowledge - based decision support system for emergency management: The pandemic framework
The aim of this study is to show the current state of EMS in emergency departments by constructing a framework for a knowledge-based decision support system for emergency management focusing on resolving pandemics.
4/3/2023 8:41:14 PM +00:00
Identification of factors contributing to online game addiction among adolescents
This study contributes to the identification of factors that influence OGA among adolescents, which are significant in preventing the occurrence of other behavioral issues such as insecure cyber and emotional behaviors.
4/3/2023 8:41:07 PM +00:00
An improved K-power means technique using minkowski distance metric and dimension weights for clustering wireless multipaths in indoor channel scenario
The Jaccard index was used to determine the new method’s accuracy performance. The results showed a significant improvement in the clustering of the developed algorithm than the standard K-PowerMeans. The results showed a significant improvement in the clustering of the developed algorithm than the standard K-PowerMeans.
4/3/2023 8:41:00 PM +00:00
Variations in the number of hidden nodes through multilayer perceptron networks to predict cycle time
The aim of this study is to determine the best MLP network by varying the number of hidden nodes of developed networks to predict cycle time for producing a new audio product on a production line.
4/3/2023 8:40:20 PM +00:00
Robust subspace tracking algorithms in signal processing: A brief survey
The main goal of this paper is to provide a brief survey on recent RST algorithms in signal processing. Particularly, we begin this survey by introducing the basic ideas of the RST problem. Then, different aspects of RST are reviewed with respect to different kinds of non-Gaussian noises and sparse constraints. Our own contributions on this topic are also highlighted.
4/3/2023 8:39:01 PM +00:00
Trùng On the performance of 1-Bit ADC in massive MIMO communication systems
This paper investigates the performance of the 1-bit ADC in the wireless coded communication systems where the robust channel coding, protograph low-density parity-check code (LDPC), is employed. The investigation reveals that the performance of the conventional 1-bit ADC with the truncation limit of 3-sigma is severely destroyed by the quantization distortion even when the number of antennas increases to 100.
4/3/2023 8:38:36 PM +00:00
Integrated on-silicon and on-glass antennas for mm-wave applications
The paper presents several integrated high frequency antenna prototypes based on Silicon (Si) CMOS and on-glass technologies for millimeter-wave (mm-wave) applications. An on-chip loop antenna and dipole radiator are presented. In addition, a wide-band dipole-patch antenna design for the range of 74 – 104 GHz is integrated into a CMOS chip with an on-chip pulse generator. In addition, an implementation of a fully on-Silicon antenna array integrated with a timed-array transmitter is introduced.
4/3/2023 8:38:11 PM +00:00
Design and implementation of a lora communication system supporting edge computing on the smart multi-platform Iot gateway
The authors design and manufacture a Smart Multiplatform IoT Gateway (SMGW) and LoRa nodes that allow the implementation and evaluation of the proposed protocol in practice. The test results on a system of 50 LoRa nodes and the SMGW show that the proposed protocol works well when evaluating its performance in terms of reliability, latency, and power consumption. This proposed system is suitable for applications that require edge computing and is easily extendable to other IoT applications.
4/3/2023 8:34:09 PM +00:00
Designing SPI to I2C protocol converter base on asic technology and implementing on the FPGA platform
This paper will primarily focus on designing an IP core communication standard converter from SPI to I2C using APB (Advanced Peripheral Bus) communication as one of the AMBA (Advanced Microcontroller Bus Architecture) communication sets. In particular, APB is a bus used to communicate with peripherals that do not require fast processing speeds such as UART, SPI, I2C, etc.
4/3/2023 8:33:23 PM +00:00
A study on the shutter time of a surveillance camera to improve speed detection accuracy of vehicles on highways and inner-city streets
Based on the operation time of the camera's optical sensor system including shutter time (ST) and sensor operating time, the accuracy of vehicle speed detection on highways as well as inner city streets can be significantly improved. The operation time of the camera’s sensor is essential for determination of frames over time in a vehicle surveillance system. Therefore, control of the shutter time ST will help a camera-based speed detection system to achieve much better accuracy
4/3/2023 8:33:05 PM +00:00
Research on traffic congestion detection from camera images in a location of Da Lat
This paper focuses on SVM, CNN, DenseNet, VGG, and ResNet models to detect traffic congestion from camera images collected at Nga 5 Dai Hoc, Da Lat. These images are labeled with the words traffic congestion or no traffic congestion. The experimental results have an accuracy of over 93%. The study is an initial contribution to a future system for predicting traffic congestion in Da Lat when the camera system is fully installed.
4/3/2023 8:30:07 PM +00:00
Các hệ thống thông tin sử dụng Matlab: Phần 2
Ebook Các hệ thống thông tin hiện nay trình bày thông qua sử dụng Matlab: Phần 2 gồm 4 chương với những nội dung cụ thể sau: Chương 6 - Truyền dẫn số qua kênh có băng thông hữu hạn, Chương 7 - Truyền dẫn số thông qua điều chế sóng mang, Chương 8 - Dung lượng kênh và mã hóa kênh, Chương 9 - Các hệ thống thông tin trải phổ.
4/3/2023 5:11:58 PM +00:00