Firefly analytical hierarchy algorithm for optimal allocation and sizing of DG in distribution network

Distributed generation (DG) can be beneficially allocated in distribution power systems to improve the power system's efficiency. However, specious DG's allocation and sizing may cause more power loss and voltage profile issues for distribution feeders. Therefore, optimization algorithms are vital for future intelligent power distribution network planning. Hence, this study proposes a multi-objective firefly analytical hierarchy algorithm (FAHA) for determining the optimal allocation and sizing of DG. The multi-objective function formulation is improved further by integrating analytical hierarchy process (AHP) with FA to obtain the weight of the coefficient factor (CF). The performance of the proposed approach is verified on the 118-bus radial distribution network with different bus voltage at DG location (VDG) as regulated PV-bus during load flow calculations. The calculated CF and impact of the unregulated voltage at the PV-bus on the objectives function have been analysed. The findings show that the proposed techniques could allocate the DG at the most voltage deviation while minimizing the power loss and improving the radial distribution’s voltage stability index (VSI). The experimental results indicate that the approach is able to improve the overall voltage profile, especially at PQ-buses, minimize the power loss while improving the network's stability index simultaneously

A review of multiple access techniques and frequencies requirements towards 6G

The fifth generation (5G) wireless network was a revolution. However, the rapid expansion of new applications such as extended reality, telemedicine, and the internet of everything necessitates higher data speeds, lower latency, and more reliability. These needs inspire academics and industries to introduce the sixth generation (6G) to overcome the limitations of 5G and meet the demands of future applications. This article reviews the 6G vision and proposed technologies that expect to be used in the 6G network benefits and challenges. This review's contribution investigates multiple access techniques, focusing on filter bank multi-carrier. These multiple-access techniques were studied and compared in terms of spectrum efficiency, cyclic prefix, and MIMO compatibility. We found that FBMC is the best candidate for 6G

Integration of hybrid networks, AI, Ultra Massive-MIMO, THz frequency, and FBMC modulation toward 6g requirements : A Review

The fifth-generation (5G) wireless communications have been deployed in many countries with the following features: wireless networks at 20 Gbps as peak data rate, a latency of 1-ms, reliability of 99.999%, maximum mobility of 500 km/h, a bandwidth of 1-GHz, and a capacity of 106 up to Mbps/m2. Nonetheless, the rapid growth of applications, such as extended/virtual reality (XR/VR), online gaming, telemedicine, cloud computing, smart cities, the Internet of Everything (IoE), and others, demand lower latency, higher data rates, ubiquitous coverage, and better reliability. These higher requirements are the main problems that have challenged 5G while concurrently encouraging researchers and practitioners to introduce viable solutions. In this review paper, the sixth-generation (6G) technology could solve the 5G limitations, achieve higher requirements, and support future applications. The integration of multiple access techniques, terahertz (THz), visible light communications (VLC), ultra-massive multiple-input multiple-output ( μm -MIMO), hybrid networks, cell-free massive MIMO, and artificial intelligence (AI)/machine learning (ML) have been proposed for 6G. The main contributions of this paper are a comprehensive review of the 6G vision, KPIs (key performance indicators), and advanced potential technologies proposed with operation principles. Besides, this paper reviewed multiple access and modulation techniques, concentrating on Filter-Bank Multicarrier (FBMC) as a potential technology for 6G. This paper ends by discussing potential applications with challenges and lessons identified from prior studies to pave the path for future research

A Study on Driver Fatigue Notification Systems

This paper is an introduction to our research which aims to develop a driver safety assistant system using an in vehicle video camera. It is a real-time recognition system which uses vision sensors to detect passengers and driver fatigue conditions. The system assesses the ability of conducting safe driving and notifies the driver for any dangerous situation. Moreover, safety actions are to be performed by an embedded vehicle controlling system. This review paper is to assess the current status of research

Arduino/Genuino: start as professional: short course in a book

Do you know: Open source, Prototyping, Electronics? Arduino is a microcontroller. It is an open-source project which created kits for prototyping and building control devices and interactive tools that can sense and control devices. If you understand nothing from the previous lines, be happy! This book is written mainly for you

A Study on Smart Wheelchair Systems

Many people are suffering of temporary or permanent disabilities due to illnesses or accidents. For cases of difficult or impossible walking, the use of a wheelchair is becoming essential. Manual or electrical wheelchairs are satisfying for most of the low and medium level disability case where patients can use the wheelchair independently. However, in severe cases, it is difficult or impossible to use wheel chairs independently. In such cases wheelchair users often lack independent mobility and rely on somebody else handle the wheelchair. Researchers involved in wheelchair are aiming at designing smart wheelchairs to solve such problems. This paper is to review the recent studies on smart wheelchair systems. It aims to evaluate the current available technologies and to discuss new future directions for our ongoing research project

Optimization of Nanowires Ratio in Nano-scale SiNWT Based SRAM Cell

This paper represents the impact of nanowires ratio of silicon nanowire transistors on the characteristics of 6-transistors SRAM cell. This study is the first to demonstrate nanowires ratio optimization of Nano-scale SiNWT Based SRAM Cell. Noise margins and inflection voltage of transfer characteristics are used as limiting factors in this optimization. Results indicate that optimization depends on both nanowires ratio and digital voltage level (Vdd). And increasing of logic voltage level from 1V to 3V tends to decreasing in optimization ratio but with increasing in current and power. SRAM using nanowires transistors must use logic level (2V or 2.5V) to produce SRAM with lower dimensions and lower inflection currents and then with lower power consumption

Optimization of Nanowires Ratio in Nano-scale SiNWT Based SRAM Cell

This paper represents the impact of nanowires ratio of silicon nanowire transistors on the characteristics of 6-transistors SRAM cell. This study is the first to demonstrate nanowires ratio optimization of Nano-scale SiNWT Based SRAM Cell. Noise margins and inflection voltage of transfer characteristics are used as limiting factors in this optimization. Results indicate that optimization depends on both nanowires ratio and digital voltage level (Vdd). And increasing of logic voltage level from 1V to 3V tends to decreasing in optimization ratio but with increasing in current and power. SRAM using nanowires transistors must use logic level (2V or 2.5V) to produce SRAM with lower dimensions and lower inflection currents and then with lower power consumption

FTeK anjur pertandingan Robot LEGO pupuk minat pelajar sekolah

Kuantan, 8 Mac - Fakulti Teknologi Kejuruteraan (FTeK) dengan kerjasama Techtronic Learning Centre dan Sasbadi telah menganjurkan Pertandingan Robot LEGO Peringkat Sekolah Daerah Kuantan dan Pekan yang berlangsung di Astaka baru-baru ini bagi memupuk minat para pelajar dalam bidang teknologi robotik

Integration of Hybrid Networks, AI, Ultra Massive-MIMO, THz Frequency, and FBMC Modulation Toward 6G Requirements: A Review

The fifth-generation (5G) wireless communications have been deployed in many countries with the following features: wireless networks at 20 Gbps as peak data rate, a latency of 1-ms, reliability of 99.999%, maximum mobility of 500 km/h, a bandwidth of 1-GHz, and a capacity of 106 up to Mbps/m2. Nonetheless, the rapid growth of applications, such as extended/virtual reality (XR/VR), online gaming, telemedicine, cloud computing, smart cities, the Internet of Everything (IoE), and others, demand lower latency, higher data rates, ubiquitous coverage, and better reliability. These higher requirements are the main problems that have challenged 5G while concurrently encouraging researchers and practitioners to introduce viable solutions. In this review paper, the sixth-generation (6G) technology could solve the 5G limitations, achieve higher requirements, and support future applications. The integration of multiple access techniques, terahertz (THz), visible light communications (VLC), ultra-massive multiple-input multiple-output ( $\mu {\mathrm{ m}}$ -MIMO), hybrid networks, cell-free massive MIMO, and artificial intelligence (AI)/machine learning (ML) have been proposed for 6G. The main contributions of this paper are a comprehensive review of the 6G vision, KPIs (key performance indicators), and advanced potential technologies proposed with operation principles. Besides, this paper reviewed multiple access and modulation techniques, concentrating on Filter-Bank Multicarrier (FBMC) as a potential technology for 6G. This paper ends by discussing potential applications with challenges and lessons identified from prior studies to pave the path for future research