Power Plug Research Articles

Petrol Pumps to Power Plugs: Is the Surge in Electric Two-Wheeler Adoption in Kathmandu Due to Unstable Petroleum Prices?

Since the dawn of the 21st century, the awareness towards environmental concern and sustainability slowly began to rise and the “Electric Wave” truly encompassed the world with electric automobiles. Nepal was no exception to this global electric wave. This research explores a key determinant behind this transition, the influence of fluctuating petroleum price. Using secondary data obtained from registrations of electric and petroleum two-wheelers at the Transport Management Office in Kathmandu, under the Ministry of Labor, Employment, and Transport as well as historical petrol prices over the past 4 years from 2019 to 2023, this research seeks to offer valuable insights into the connection between petrol prices and the adoption of electric vehicles in Kathmandu, Nepal. Using SPSS software, a linear regression analysis was conducted and it revealed that while petroleum prices played a role, they were not the sole determinant affecting adoption. This study contributes to the growing body of knowledge on sustainable transportation choices and their drivers. It provides valuable insights for policymakers, consumers, and industry stakeholders, as it underscores the influence of fuel prices on consumer choices and the potential for electric two-wheelers to become a viable alternative in the context of Kathmandu’s urban transport.

The composited high reflectivity p-type electrodes with patterned ITO for AlGaN-based ultraviolet light emitting diodes

Composited p-type electrodes with high reflectivity have been investigated in AlGaN-based ultraviolet light emitting diodes (UV-LEDs) to improve the light extraction efficiency, which are composed of a patterned ITO layer and an Al reflector. It is verified that the patterned ITO with a thickness of 30 nm can not only well form Ohmic contact with p-GaN capping layer, but also be nearly 90% transparent to ultraviolet light, and thus presenting a reflectivity of 73% at 280 nm when combined with an Al reflector. Further experimental efforts confirm that the performance of the UV-LEDs is dramatically improved with such p-type electrodes. The maximum light output power and wall plug efficiency in the current range of 0–100 mA are severally increased by 49.8% and 54.2% compared to the device with traditional Ni/Au electrodes.

Combination-Lock SlipChip Integrating Nucleic Acid Sample Preparation and Isothermal LAMP Amplification for the Detection of SARS-CoV-2.

Nucleic acid analysis with an easy-to-use workflow, high specificity and sensitivity, independence of sophisticated instruments, and accessibility outside of the laboratory is highly desirable for the detection and monitoring of infectious diseases. Integration of laboratory-quality sample preparation on a hand-held system is critical for performance. A SlipChip device inspired by the combination lock can perform magnetic bead-based nucleic acid extraction with several clockwise and counterclockwise rotations. A palm-sized base station was developed to assist sample preparation and provide thermal control of isothermal nucleic acid amplification without plug-in power. The loop-mediated isothermal amplification reaction can be performed with a colorimetric method and directly analyzed by the naked eye or with a mobile phone app. This system achieves good bead recovery during the sample preparation workflow and has minimal residue carryover from the lysis and elution buffers. Its performance is comparable to that of the standard laboratory protocol with real-time qPCR amplification methods. The entire workflow is completed in less than 35 min and the device can achieve 500 copies/mL sensitivity. Thirty clinical nasal swab samples were collected and tested with a sensitivity of 95% and a specificity of 100% for SARS-CoV-2. This combination-lock SlipChip provides a promising fast, easy-to-use nucleic acid test with bead-based sample preparation that produces laboratory-quality results for point-of-care settings, especially in home use applications.

Ion implantation induced nucleation and epitaxial growth of high-quality AlN

AlN materials have a wide range of applications in the fields of optoelectronic, power electronic, and radio frequency. However, the significant lattice mismatch and thermal mismatch between heteroepitaxial AlN and its substrate lead to a high threading dislocation (TD) density, thereby degrading the performance of device. In this work, we introduce a novel, cost-effective, and stable approach to epitaxially growing AlN. We inject different doses of nitrogen ions into nano patterned sapphire substrates, and then deposit the AlN layers by using metal-organic chemical vapor deposition. Ultraviolet light-emitting diode (UV-LED) with a luminescence wavelength of 395 nm is fabricated on it, and the optoelectronic properties are evaluated. Compared with the sample prepared by the traditional method, the sample injected with N ions at a dose of 1×10<sup>13</sup> cm<sup>–2</sup> exhibits an 82% reduction in screw TD density, the lowest surface roughness, and a 52% increase in photoluminescence intensity. It can be seen that appropriate dose of N ion implantation can promote the lateral growth and merging process in AlN heteroepitaxy. This is due to the fact that the process of implantation of N ions can suppress the tilt and twist of the nucleation islands, effectively reducing the density of TDs in AlN. Furthermore, in comparison with the controlled LED, the LED prepared on the high quality AlN template increases 63.8% and 61.7% in light output power and wall plug efficiency, respectively. The observed enhancement in device performance is attributed to the TD density of the epitaxial layer decreasing, which effectively reduces the nonradiative recombination centers. In summary, this study indicates that the ion implantation can significantly improve the quality of epitaxial AlN, thereby facilitating the development of high-performance AlN-based UV-LEDs.

Low-cost Wireless Lamp Socket and Power Plug for Smart Homes and Its Comparison with Available Commercial Competitors

Smart home manufacturers widely produce Wireless Lamp Socket and Power Plug devices, which offer various features ranging from basic on/off control to more complex functionalities such as monitoring energy consumption, power losses, and harmonics. However, these devices tend to be expensive, as indicated by market surveys. To address this issue, the current study aimed to develop low-cost wireless control nodes for smart homes that operate using relays. The two nodes consisted of lamp socket and power plug built with lowcost electronic components, including a Wi-Fi built-in Microcontroller ESP8266 (Wemos D1 mini model) as the backbone to create ESP-Mesh wireless network and to provide control ports for high/low logic, a relay module, an AC-to-DC converter module, and terminals (E27 screw for lamp socket node and C-type plug for the power plug node). This paper primarily focuses on the hardware aspects. In order to evaluate the effectiveness of the nodes, the following tests are conducted: (1) product demonstration to assess the product functions, (2) power measurement in idle and active conditions, (3) ESP-Mesh connection testing, and (4) RSSI measurement. Functional testing is done using a smartphone with the UPISmartHome version 2.0 Android application, which successfully controlled the nodes wirelessly. In idle conditions, power plug and lamp socket nodes consume 426.36 mWatt and 418.275 mWatt of power, respectively. Further, in active conditions, power plug and lamp socket nodes consume 435.704 mWatt and 440.583 mWatt of power, respectively. RSSI testing results show that both nodes can be controlled within an optimal range of 60 meters (with reference to RSSI below –85 dBm) without the Internet, utilizing the ESP-Mesh feature of ESP8266. This range is deemed reasonable for smart homes of 21, 36, or 45 square meters. Both nodes could be controlled under the ESP-Mesh network that gets build. We also present the comparison with other products of competitors in this paper.

Improved Efficiency Droop of 370 nm UV LEDs with ITO/Au/ITO Structure

In this paper, a method of indium-tin oxide/Au/indium-tin oxide (IAI) structure as transparent conductive layers (TCLs) to improve the current spreading and suppress efficiency droop of ultraviolet light-emitting diodes (UV-LEDs) is investigated. The morphology and distribution of Au clusters formed by annealing are investigate by atomic force microscope and scanning electron microscope. Compared with the UV-LED without Au clusters, the forward voltage of UV-LED is reduced by 5.9% at 20 mA, light output power and wall plug efficiency increase by 64.2% and 84.2% at 300 mA for the UV-LED with IAI structure as the thickness of the Au interlayer is 1 nm. In addition, light emission distribution results show that by inserting Au interlayer, current distributes more uniform and the current spreading characteristics of UV-LED are improved. Ultimately, efficiency droop of the LED has been suppressed.

PELATIHAN PEMANFAATAN APLIKASI MENDELEY DESKTOP UNTUK MENGELOLA REFERENSI KARYA ILMIAH MAHASISWA

References are the most important part of writing good scientific work. There are not a few scientific works that are not supported by relevant references. This is due to the lack of author skills in utilizing good reference management applications. Coupled with the various styles of reference writing, the writer often makes mistakes in writing references according to the appropriate style of the context. This community service activity aims to improve students' skills in utilizing the Mendeley reference management application as a tool for managing references. Service activities are carried out through three stages, namely planning, implementation and evaluation. Mendeley training activities are carried out in a hybrid manner, online and offline. The training participants were final-year students totaling 48 students. The results of the training activities included, first, students could improve their skills in managing references with Mendeley which could assist them in writing their final assignment. Second, there are several obstacles in the implementation of this training such as technical constraints in the form of an internet network, lack of power plugs, incompatible laptops, and limited space. Third, the trainees felt that Mendeley's training would be beneficial for the completion of their final assignment.

Synthetic images generation for semantic understanding in facility management

PurposeThis study aims to introduce a new methodology for generating synthetic images for facility management purposes. The method starts by leveraging the existing 3D open-source BIM models and using them inside a graphic engine to produce a photorealistic representation of indoor spaces enriched with facility-related objects. The virtual environment creates several images by changing lighting conditions, camera poses or material. Moreover, the created images are labeled and ready to be trained in the model.Design/methodology/approachThis paper focuses on the challenges characterizing object detection models to enrich digital twins with facility management-related information. The automatic detection of small objects, such as sockets, power plugs, etc., requires big, labeled data sets that are costly and time-consuming to create. This study proposes a solution based on existing 3D BIM models to produce quick and automatically labeled synthetic images.FindingsThe paper presents a conceptual model for creating synthetic images to increase the performance in training object detection models for facility management. The results show that virtually generated images, rather than an alternative to real images, are a powerful tool for integrating existing data sets. In other words, while a base of real images is still needed, introducing synthetic images helps augment the model’s performance and robustness in covering different types of objects.Originality/valueThis study introduced the first pipeline for creating synthetic images for facility management. Moreover, this paper validates this pipeline by proposing a case study where the performance of object detection models trained on real data or a combination of real and synthetic images are compared.

Self-powered and wireless physiological monitoring system with integrated power supply and sensors

With the increase in people’s concern for personal health, the demand for convenient health monitoring electronics has grown noticeably. Wearable physiological sensors with multi-functionality and continuous power supply are constructed through system-level integration and delicate circuit design for energy management and low-power sensing. Energy harvested from body motion and solar or domestic lighting has great potential in powering wearable electronics, eliminating the need of batteries or plug-in power sources. Triboelectric nanogenerators readily fabricated with digital ink-jet printing display a high-power output of 30.96 mW/cm2 after integration with a flexible thin-film solar cell, which ensures unremitting work of the sensors. The self-powered physiological monitoring system can continuously monitor and wirelessly transmit the electrocardiogram, blood pressure, temperature, and motion parameters of the human in real-time without the need for an external power source, providing the wearer with a reliable monitoring means.

A 40-nm Low-Power WiFi SoC With Clock Gating and Power Management Strategy

ABSTRACT With the emerging of Internet of Things (IoT) industry, applications like smart power plugs, security ID tags, home automation and wearable electronic devices all make the demand for low-power WiFi chips impendency. In this paper, a low-power 2.4 GHz 802.11b/g/n WiFi system-on-chip (SoC) is designed and implemented with 40-nm CMOS process, with area of 8.1 mm2. The low-power SoC integrates 32-bit microcontroller, 802.11b/g/n WiFi baseband, 2.4 GHz RF transceiver, ample memory space, ADC, 6-channel PWM, flexible I/O interfaces, multi-stage power management module, etc.. It has several sleep modes with extremely low leakage current as 0.8 mA/12 µA in light/deep sleep mode and 0.4 µA in Shutdown mode to reduce the power consumption. High performance is demonstrated, including Pout (-28 dB/-30 dB EVM) of 20.1 dBm/19.1 dBm and RX sensitivity of -76 dBm/-74 dBm meanwhile the total current of 148.5 mA/146.5 mA (TX) for 54 Mbps OFDM/HT20 MCS7.

IOT HOME AUTOMATION USING BLYNK AND NODE MCU

This paper presents a low cost and flexible home control and environmental monitoring system. It employs an embedded micro – web server in NODE MCU microcontroller, with IP connectivity for accessing and controlling devices and appliances remotely. These devices can be controlled through a web application or via Bluetooth Android based Smart phone app. The proposed system does not require a dedicated server PC with respect to similar systems and offers a novel communication protocol to monitor and control the home environment with more than just the switching functionality. To demonstrate the feasibility and effectiveness of this system, devices such as light switches, power plug, temperature sensor, gas sensor and motion sensors have been integrated with the proposed home control system. Therefore this system has been successfully designed and implemented in real time

Improved performance of deep ultraviolet AlGaN-based light-emitting diode by reducing contact resistance of Al-based reflector

In this study, chlorine (Cl) treatment was carried out on p-AlGaN to enhance the performance of ultraviolet-C light emitting diodes (UVC LEDs) by modifying ITO work function and hence reducing the contact resistance of ITO/Al reflector. The Cl-treated UVC LEDs exhibit the forward voltage of 6.88 V at 20 mA, whereas the reference samples show 7.50 V. The light output power and relative wall plug efficiency (WPE) of the Cl-treated UVC LEDs are enhanced by 17.1% at 500 mW and 19.5% at 100 mA, respectively, as compared to the reference. Additionally, the Cl-treated LEDs also display reduction in both the leakage current and ideality factor. Further, the photoluminescence (PL) intensity of AlGaN micro-disks is also enhanced by the Cl-treatment. X-ray photoemission spectroscopy (XPS) results indicate the formation of Cl-ITO at the ITO/p-AlGaN interface and the passivation of the surface states of AlGaN by Cl radicals. Based on the XPS results, a possible mechanism for the improved performance of Cl-treated UVC AlGaN-based LEDs is described and discussed.

Towards Wireless Power Transfer in Mobile Social Networks

Wireless power transfer (WPT) is an enabling technology that energizes IoT devices as well as sensors at a distance without power plugs. In this paper, we consider WPT for mobile social networks (MSNs), where power is transferred from one to another via close proximity contacts among humans with a mobile device. In such a scenario, we introduce the problem of wireless charger allocation for MSNs, in which for the given number of wireless chargers, a subset of nodes are selected as power source nodes, and then, power is disseminated from the power sources to the other nodes via direct and/or indirect contacts. To this end, we first design the weighted connectivity metric for quantifying the importance of nodes and then propose the adaptive wireless charger allocation (AWCA) algorithm. Our AWCA consists of two phases. In the first phase, wireless chargers are allocated to a subset of nodes as power sources. In the second phase, power is efficiently transferred over an MSN. For performance evaluation, computer simulations using real human contact traces are conducted, and the simulation results demonstrate that the proposed AWCA algorithm achieves its design goals as long as the transmission efficiency is sufficiently high.

Development and application of \u201cSpecial defibrillator for teaching and training\u201d

BackgroundTo provide an economical and practical defibrillator for first aid teaching and training, to reduce the cost of teaching and training, increase teaching and training equipment, provide trainees with more hands-on training sessions, and improve first aid capabilities.MethodsDeveloping a special teaching defibrillator with the same structure and operation configuration as the clinical medical emergency defibrillator. The appearance, structure and operating accessories of the two defibrillators are the same. The difference between the defibrillator and the clinical medical emergency defibrillator are as follows: the clinical medical emergency defibrillator can be energized, and there are expensive electronic accessories and defibrillation accessories for charging and discharging in the machine. When discharging, the electrode plate has current discharged into the human body; the power plug of the “special defibrillator for teaching and training” is a fake plug. When the power is plugged in, no current enters the body and the machine. There are no expensive electronic accessories and defibrillation accessories for charging and discharging, and no current is discharged during discharge. Then compare the teaching effect of the special defibrillator for teaching and training and the clinical medical emergency defibrillator (including operation score and attitude after training).ResultsThe scores of defibrillator operation in the experimental group of junior college students (87.77 ± 4.11 vs. 83.30 ± 4.56, P < 0.001) and the experimental group of undergraduate students (90.40 ± 3.67 vs. 89.12 ± 3.68, P = 0.011) were higher than those in the corresponding control group; The attitude of junior college students in the experimental group and undergraduate students in the experimental group after training was more positive than that of the corresponding control group (P < 0.05).ConclusionsThe special defibrillator for teaching and training can save the purchase cost of teaching equipment, increase teaching and training resources, and improve the trainee’s defibrillation ability, defibrillation confidence and defibrillation security.

Polarization Modulation at Last Quantum Barrier for High Efficiency AlGaN-Based UV LED

The performance of AlGaN-based light-emitting diodes (LEDs) emitting at UVA–UVC regions can be severely compromised due to the polarization difference (ΔP) between the last quantum barrier (LQB) and the electron blocking layer (EBL). In this work, the different situations of the bandgap difference (ΔE <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">g</sub> ) and ΔP of InAlN/AlGaN and AlGaN/AlGaN heterojunctions fully strained on GaN and AlN substrates are discussed. It shows that the InAlN/AlGaN heterojunctions could produce positive or negative sheet charges at the heterointerface under ΔE <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">g</sub> >0, which could not be realized by the conventional AlGaN/AlGaN heterojunctions. To demonstrate and utilize the feature, the polarization-modulated InAlN LQBs with 0.14–0.16 indium compositions of 320 nm UVB LEDs are designed and investigated. It is observed that the InAlN LQBs could replace the conventional AlGaN LQB to improve electron confinement and hole injection by affecting effective barrier heights. By modulating the LQB/EBL polarization using InAlN, the proposed UV LED has a 32% enhancement in internal quantum efficiency and lower efficiency droop (from 16.9% to 0.7%) compared with the conventional one without modulation. The operation voltage at the same current also significantly decreases. The improvement of optical output power and wall plug efficiency at 60 mA in proposed structures are near 90% and 100%, respectively. This study provides a novel and highly effective methodology for development of high efficiency UV LEDs.

A Novel Universal Magnetic Power Plug to Facilitate V2V/V2G/G2V/V2H Connectivity for Future Grid Infrastructure

Electric vehicles (EVs) are increasingly connected to the power grid using the charging connectors based on the charging connector standards, such as SAE J1772, SAE Combo, or CHAdeMO, which are mainly intended for single directional charging for grid-to-vehicle application. However, with the development of a smart grid, EVs should play a role as active distributed resources, that can transfer their energy into the grid and can charge or be charged by another EV. Therefore, the concept of vehicle-to-X (V2X), where X can be the grid, the local load, or another EV, has been proposed. Unfortunately, the current standard of the charging connector does not support all possible connections of the V2X. This article proposes a new universal power connector (UPC), which can support all possible connections of the V2X configuration including vehicle-to-vehicle, so that, if needed, EV owners can trade their EVs&#x2019; stored energy independently among themselves. The proposed connector transfers the power through a magnetic link formed by two magnetic parts (one in the EV and another in the charging plug). To validate the proposed new power plug&#x002F;connector, a scaled-down prototype of an EV charger that utilizes the proposed UPC has been designed, analyzed, implemented, and validated in the laboratory.

UPISmartHome V.2.0 – A Consumer Product of Smart Home System with an ESP8266 as the Basis

An ESP-Mesh-based smart home system was developed in the previous research using the ESP8266 feature with 3 different nodes, such as mechanical (door lock), electrical (fan, generic power switch, or power plug), and temperature &amp; humidity sensors. This research focused more on the addition of nodes into the IoT-based smart home infrastructure. The purpose is to design, implement, and test hardware and software intended to be incorporated into the ESP8266-based system for normal functionality. These nodes include 1) RGB lamp that is controlled by colour lightning, 2) horizontal and 3) vertical curtain 4) PIR sensor for detecting the presence of humans (suspicious people) around the house, 5) liquefied petroleum gas (LPG) sensor for examining leakage of gas cylinders within the house, 6) smoke sensor for fire detection, and 7) an electric fan using the soft-control (PWM-based) method. The fan is observed to increase in functionality from the previous research, which is regulated by a switch only (hard-control). Meanwhile, the new android application monitors the seven nodes defined without limitations. The method used by the application includes the determination of system specifications, hardware and software design (ESP8266 and android programming), implementation, and verification. The system evaluation procedure used in the previous research comprised 1) RSSI measurement, 2) power consumption, 3) Mesh connection, 4) functionality test of UPISmartHome Apps V.2.0, and 5) the overall system (hardware &amp; software integration). The test results by observing the RSSI parameters reveal that all nodes can be managed (control &amp; monitor) remotely via the android application with an average distance of about 70 meters without an internet connection. Furthermore, all nodes are successfully connected to the ESP-Mesh network with effective self-routing capabilities between 40 – 50 meters because the distance between nodes above 70m cannot do self-configuration; this is the ability of ESP8266. The power consumed by each node both in idle and active conditions is not more than 2 Watts.

Analysing behavioural changes in people with dementia using in‐home monitoring technologies

AbstractBackgroundBehavioural changes and neuropsychiatric symptoms such as agitation are common in people with dementia. These symptoms impact the quality of life of people with dementia and can increase the stress on caregivers. This study aims to identify the likelihood of having agitation in people affected by dementia (i.e., patients and carers) using routinely collected data from in‐home monitoring technologies. We have used a digital platform and analytical methods, developed in our previous study, to generate alerts when changes occur in the digital markers collected using in‐home sensing technologies (i.e., vital signs, environmental and activity data). A care monitoring team use the platform and interact with participants and caregivers when an alert is generated.MethodWe have used connected sensory devices to collect environmental markers, including Passive Infra‐Red (PIR), smart power plugs for monitoring home appliance use, motion and door sensors. The environmental marker data have been aggregated within each hour and used to train an agitation risk analysis model. We have trained a model using data collected from 88 homes (∼6 months of data from each home). The proposed model has two components: a self‐supervised transformation learning and an ensemble classification model for agitation likelihood. Ten different neural network encoders are learned to create pseudo‐labels using the samples from the unlabelled data. We use these pseudo‐labels to train a classification model with a convolutional block and a decision layer. The trained convolutional block is then used to learn a latent representation of the data for an ensemble classification block.ResultsComparing with baseline models such as LSTM network, Bidirectional LSTM (BiLSTM) network, VGG, ResNet, Inception, Random Forest (RF), Support Vector Machine (SVM) and Gaussian Process (GP) classifiers, the proposed model performs better in sensitivity (recall) and area under the precision‐recall curve with at most 40% improvement. The recall measure using the 10‐fold cross‐validation technique is 61%.ConclusionThis method can support early interventions and help develop new pathways to support people affected by dementia. A limitation in our current study is that the environmental and movement data is at the home level and not personalised.

ICCB Power Plug 내 온도센서 온도 측정 정합성 향상을 위한 고정부품 설계 인자 분석

전기자동차 완속 충전에 사용되는 In Cable Control Box(ICCB) Power Plug의 과열 방지를 위한 온도센서의 온도 측정 정합성 향상에 관한 연구를 수행하였다. 과열 방지용 온도센서는 ICCB Power Plug 내측에 장착되어 전기자동차 충전 중 Plug Pin에서 발생되는 열을 실시간으로 측정하고 측정된 온도값을 저항값으로 변환하여 ICCB 모듈로 전달한다. 측정된 온도에 대응하는 저항값을 전달받은 ICCB 모듈에서는 화재 방지를 위해 일정온도에서 전원 공급을 차단하여 차량을 화재로부터 안전하게 보호하는 역할을 수행한다. 온도센서 사양이나 ICCB Power Plug 내측에 온도센서를 조립하는 방식으로 인해 온도 측정값의 편차가 발생되고 있다. 본 논문에서는 온도측정 정합성 향상을 위해 Power Plug 내측에 온도센서가 고정되는 방식을 3가지로 구분하고 이에 따른 온도 측정 정합성 정도를 확인하였다. 선행된 실험 결과 중 최상의 온도센서 고정방식, 온도센서 고정부품에 적용하는 혼합원재료 3종 그리고 온도센서 고정 부품의 설계 Parameter 6종을 조합하였다. 총 18종류의 온도센서 고정부품을 제작하여 종류별 정합성 평가를 수행하였다. 연구 수행 결과, Al₂O₃ 함량 및 온도 센서 고정부품의 두께는 온도 정합성에 영향을 미치나 온도센서 고정위치에 따른 정합성의 영향은 유의하지 않음을 확인할 수 있었다. 본 연구는 고신뢰도 ICCB Power Plug 양산 개발을 위한 자료로 기초 연구자료로 활용할 수 있을 것으로 기대된다.

Improved Performance of GaN-Based Ultraviolet LEDs with the Stair-like Si-Doping n-GaN Structure

A method to improve the performance of ultraviolet light-emitting diodes (UV-LEDs) with stair-like Si-doping GaN layer is investigated. The high-resolution X-ray diffraction shows that the UV-LED with stair-like Si-doping GaN layer possesses better quality and a lower dislocation density. In addition, the experimental results demonstrate that light output power and wall plug efficiency of UV-LED with stair-like Si-doping GaN are significantly improved. Through the analysis of the experimental and simulation results, we can infer that there are two reasons for the improvement of photoelectric characteristics: reduction of dislocation density and alleviating of current crowding of UV-LEDs by introduced stair-like Si-doping GaN.