bluuebunny/crossref_metadata_2025 huggingface dataset:
The Position of Deaf Witnesses in Proving Divorce (Syiqaq) Cases in Religious Courts
Authors: Handoko Riki , Pagar Pagar , Tanjung Dhiauddin
Published: March 2024

  Abstract                                                                         

Based on article 22 of PP Number 9 of 1975, article 76 of Law Number 7 of 1989 and article 134 of Presidential Instruction Number 1 of 1991, Divorce (syiqaq) where disputes and quarrels are continuous must be proven by witness testimony, so The position of the witness is an important thing in deciding a divorce case. Witnesses who are present in court must materially see, hear and experience directly the legal events that occur, this must be in accordance with article 172 HIR/308 Rbg in conjunction with article 76 Law Number 7 of 1989. Meanwhile, in Islamic law, the position of deaf witnesses is that the majority of ulama seemed to have absolutely no tolerance for their opportunity to be witnesses. They agreed that hearing what the parties said and understanding what they meant was an absolute requirement for witnesses. The argument is because something that is the object of the witness is words. Law No.19/2011 about concerning ratification of the CRPD and the principle of Equality Before the Law also states the same thing, which does not differentiate between people in person. trial, while formally a deaf witness is not a mentally disabled witness, he just lacks hearing but can see and judge events well._________________________
LEGAL CERTAINTY IN DETERMINING THE AMOUNT OF LAND AND BUILDING RIGHTS ACQUISITION DUTY TAX (BPHTB) LEGAL CERTAINTY IN DETERMINING THE AMOUNT OF DUTY TAX ON ACQUISITION OF LAND AND BUILDING RIGHTS (BPHTB)
Authors: Yanuaria Tri , Polontoh Herry M.
Published: March 2024

The research carried out in Jayapura City with the title "Legal Certainty in Determining the Amount of Tax on Acquisition of Land and Building Rights" (BPHTB) aims to provide legal certainty regarding the imposition of Tax on Acquisition of Land and Building Rights. (BPHTB) in determining the amount of BPHTB tax. The method used is normative law and empirical law in relation to land and building tax collection.
In accordance with applicable laws and regulations, BPHTB levies in Jayapura City do not yet have complete legal certainty. Tax Object Acquisition Value (NPOP) transaction value is no longer used as a basis for determining BPHTB tax, in Jayapura City the basis for determining BPHTB is the interpretation made by the tax authorities based on market prices, location of land and buildings and building conditions. This happens because of society's tendency to try to get around it BPHTB financing. Taxpayers declare the transaction price in accordance with the NJOP if the market price or transaction value is greater than the Sales Value of the Tax Object (NJOP). Taxpayers will also try to avoid it if the Tax Object Acquisition Value (NPOP) is lower than the Tax Object Sales Value (NJOP). The obstacles faced in collecting BPHTB are legal factors, factors outside the law and taxpayer factors
The Islamic Legal Perspective on Inheritance Distribution Based on the Principle of Sapikul Sagendhongan
Authors: Hidayat Deden , Fitriyani Fitriyani
Published: March 2024

This research aims to analyze the principles of Islamic inheritance law and their relevance to customary law in society as well as the existence of distribution of inheritance based on the Sapikul Sagendhongan principle from an Islamic Law perspective. This research is normative legal research by prioritizing conceptual and statutory approaches. The results of the research confirm that there are eleven principles or principles in Islamic inheritance law which include: the principle of ijbari', bilateral, individual, balance, solely due to death, sincerity, self-servity, huququl maliyah or material rights, basic rights (huququn thaba 'iyah), dividing inheritance and benefit, where these eleven principles or principles are the basis for the implementation and regulation of Islamic inheritance law. In connection with the application of customary law practices in the distribution of inheritance, it can actually be seen from the theory of receptio in complex which was initiated by Van Den Berg, the theory of receptio exit which was developed by Hazairin, and the theory of receptio a contrario which was developed by Sayuti Talib which is actually a justification that Islamic law has validity. which sometimes manifests itself in customary law, such as the principle of Sapikul Sagendhongan as implemented by Javanese society. The existence of distribution of inheritance based on the Sapikul Sagendhongan principle viewed from the perspective of Islamic Law is actually no different from the distribution of inheritance in Islamic Law which mandates that men share more than women with the argument that men have greater responsibility. In this context, the distribution of inheritance based on the principle of sapikul sagendhongan actually has similarities with the distribution of inheritance based on Islamic law.
Inconsistencies & Problems of Supreme Court Decision No. 26 B/Pdt.Sus-Arbt/2014 concerning Annulment of Arbitration Award
Authors: Zakaria Zurisman , Sudirman Sudirman , Umar Wahyudi
Published: March 2024

Arbitration awards are usually considered an efficient and effective way to resolve business disputes. However, just like an award in a court, an arbitral award may also be annulled if it meets the requirements mentioned in Article   70 of the Arbitration Law. This study aims to analyze the inconsistencies of the Supreme Court decision No. 26/Pdt.Sus-Arbt/2014 which annulled the arbitral award.  This research uses normative legal research methods by applying a statutory law approach and a case approach. Based on the results of the study, there are inconsistencies in the Supreme Court decision No. 26/Pdt.Sus-Arbt/2014 which annulled the BANI arbitration award No. 442/I/ARB-BANI/2012 by considering factors outside the contents of article 70 of the Arbitration Law. Observing this phenomenon, it is important to add articles that provide guidance on the use of reasons outside the contents of article 70 of Law No. 30 of 1999 in the annulment of arbitral awards, with the aim of providing legal certainty.
Legal Transformation in the Digital Age: A Comparative Study of the Impact of New Regulations in the Digital Economy
Authors: Harianti Isnin , Muthar Achmad , Setiawan Fendy , Prakoso Bhim
Published: March 2024

The research aim is to analyze the impact of new regulations in the digital economy through a comparative study. This research uses the content analysis method to understand how these regulations affect legal structures and business practices. The digital age has brought significant changes to the global economy, triggering the need for regulations that can support innovation while protecting the rights of users. New regulations in the digital economy often relate to data privacy, cybersecurity and intellectual property rights. Through content analysis, this research evaluates how different countries are responding to these challenges through their legal frameworks. The research is also grounded in natural law theory, coined by Hugo Grotius, who argued that laws should reflect universal and unchanging moral principles. The results show that new regulations in the digital economy have a significant impact on legal protection for consumers. This protection effort is carried out through preventive, repressive, protective, solution, and alternative approaches. Dispute resolution through both litigation and non-litigation channels shows that legal protection can be guaranteed by the existence of regulations governing electronic commerce, especially on e-commerce platforms. By applying these principles, this research aims to provide recommendations for the establishment of regulations that are not only effective but also fair and sustainable.

 
The influence of the Business Judgment Rule on the accountability of the Board of Directors for their errors or negligence based on Eisenberg's theory of Director's Accountability
Authors: Arifin Miftah , Arifin Zaenal
Published: March 2024

In the business world, the Business Judgment Rule (BJR) is a legal principle that provides protection to directors when making risky business decisions, as long as those decisions are made in good faith, with sufficient care, and without personal interest. Although BJR is not explicitly regulated in Indonesian law, this principle is reflected in the Limited Liability Company Law and considered in the theory of director liability proposed by Melvin Aron Eisenberg. The purpose of this research is to analyze the application of the Business Judgment Rule principle in Indonesian corporate law to protect directors from liability for their mistakes or negligence, and to evaluate its influence on Eisenberg's theory of director liability. This study uses a normative legal research method that examines legal norms to analyze and interpret legal provisions related to the application of the Business Judgment Rule and director liability in Indonesia, as well as examining the influence of Eisenberg's theory on that doctrine. A conceptual approach is used to study the concept of the Business Judgment Rule and Eisenberg's theory of director liability in depth. The research results show that the Limited Liability Company Law in Indonesia regulates the application of the Business Judgment Rule (BJR), which provides protection to directors from liability for risky business decisions as long as they meet the requirements of good faith, due care, no conflict of interest, and efforts to prevent loss. However, BJR protection is not absolute, and directors can be held accountable if they violate corporate governance principles. Melvin A. Eisenberg's theory of director liability provides clearer boundaries, where directors can lose BJR protection if they violate the duty of care, duty of loyalty, duty of good faith, and duty of candor, making them accountable for their mistakes or negligence in business decision-making.
Karakteristik Roti Tawar Substitusi Tepung Bekatul Dengan Penambahan Tepung Daun Kelor (Moringa Oleifera)
Authors: Pawiwara Intan , Triastuti Desy , Baharta Ridwan
Published: March 2024

Roti tawar substitusi tepung bekatul merupakan modifikasi roti tawar sebagai sumber karbohidrat dan serat. Penambahan tepung daun kelor yang kaya akan protein dapat meningkatkan kandungan gizi dalam roti tawar. Proyek Akhir ini bertujuan untuk mengetahui karakteristik fisikokimia, organoleptik dan menentukan formulasi terbaik dengan penambahan tepung daun kelor. Rancangan yang digunakan yaitu rancangan acak lengkap 1 faktor penambahan tepung daun kelor, 4 perlakuan ( P0 0%, P1 1%, P2 2% dan P3 3%), 3 kali ulangan. Parameter pengamatannya yaitu daya kembang, kadar air, kadar serat, kadar protein dan uji organoleptik (warna, rasa, aroma dan tekstur). Data dianalisis menggunakan ANOVA dan dilanjutkan dengan uji Duncan pada taraf signifikan 5% sedangkan data kadar protein dianalisis secara deskriptif. Hasil penelitian penambahan tepung daun kelor memberikan pengaruh nyata terhadap kadar serat, kadar protein dan organoleptik (rasa dan aroma), namun, tidak memberikan pengaruh nyata terhadap daya kembang, kadar air dan organoleptik (warna dan tekstur). Perlakuan terbaik secara fisikokimia dalam pembuatan roti tawar yaitu perlakuan P3 (3%) dengan menghasilkan daya kembang 43,87 cm, kadar air 37,39%, kadar serat kasar 13,49% dan kadar protein 8,10% dan perlakuan terbaik secara organoleptik yaitu perlakuan P1 (1%) pada tingkat kesukaan panelis terhadap warna, rasa, aroma dan tekstur yang cukup disukai panelis.
Sistem Informasi Penjadwalan Kegiatan Kantor Urusan Agama Medan Tuntungan Berbasis Website
Authors: Buyung Adnan , Erano Atha , Satria Satria , Kurniawan Wahyu
Published: March 2024

Beberapa lembaga dan perusahaan menghadapi masalah perencanaan penjadwalan kegiatan para karyawannya, salah satunya adalah Kantor Urusan Agama (KUA). Namun, KUA masih menggunakan sistem manual sekarang, dan dengan adanya sistem database PhpMyAdmin membantu memiliki ruang penyimpanan data, agar aktivitas yang direncanakan, tindakan yang harus diselesaikan tepat waktu akan dapat mengurangi kesalahan. Tujuan dari penelitian ini adalah untuk membangun sebuah sistem informasi jadwal kerja pegawai KUA Medan Tuntungan yang sebelumnya belum memiliki sistem penjadwalan kerja yang sudah terkomputerisasi. Studi ini menggunakan metode waterfall dan model ini menggunakan pendekatan sistem dan urutan. Hasil penelitian menunjukkan bahwa sistem informasi kinerja kantor-kantor agama berbasis website di wilayah Tuntungan dapat melakukan tugas-tugas pegawai negeri di wilayah KUA dengan lebih efisien dan mudah.
Sistem Informasi Cuti Pegawai Berbasis Website pada Kantor Badan Pertanahan Nasional Kota Medan
Authors: Buyung Adnan , Nur khoiriyah Andin , Hasibuan Siti Aisyah , Syahfitri Wilda
Published: March 2024

Salah satu sistem informasi yang berbasis website, sistem informasi berbasis website dapat dimanfaatkan sebagai sarana pengelolaan pekerjaan yang fleksibel. Setiap Pegawai memiliki hak cuti tempat mereka bekerja masing-masing. Pegawai sering kali tidak mengetahuisisa cuti, pengajuan cuti juga masih menggunakan form yang harus diisi kemudian diajukan kepada bagian  kepegawaian. Tujuan penelitian ini yaitu untuk merancang sistem informasi yang membantu pegawai agar lebih mudah dalam pengajuan cuti dimana sistem ini dirancang berbasis website agar lebih efektif dan efisien dengan pendekatan Metode Waterfall. Metode pengembangan waterfall, yaitu metode pengembangan dari pendekatan yang digunakan dalam penelitian deskriptif-kualitatif. Hasil penelitian ini menghasilkan sistem informasi cuti pegawai berbasis website pada Kantor Badan Pertanahan Nasional Kota Medan.Sistem ini memiliki peran yang sangat penting dalam efisiensi proses pemohonan cuti oleh pegawai dan kemudahan pengelolaan data cuti oleh admin kepegawaian
Phenomenon of ignition and explosion of high-entropy alloys of systems Ti-Zr-Hf-Ni-Cu, Ti-Zr-Hf-Ni-Cu-Co under quasi-static compression
Authors: Zatsarna Oleksandra , Kotrechko Sergiy , Filatov Oleksandr , Bondarchuk Vadim , Firstov Georgiy , Dubinko Vladimir
Published: March 2024

The phenomenon of ignition and explosive failure of specimens from high-entropy alloys (HEAs) of systems Ti-Zr-Hf-Ni-Cu, Ti-Zr-Hf-Ni-Cu-Co at quasi-static compression tests was found. It physical model is proposed. It is exhibited that the reason for this phenomenon is the release of energy of the oxidation reaction; such reaction is initiated due to the heat released ahead of the shear crack tip at brittle fracture of the specimens under quasi-static compression. It is shown that ignition and failure by explosion are the specific features of brittle fracture for high-entropy alloys containing Ti-Zr-Hf, in general. This phenomenon is realised when certain critical levels of strength and ductility of these alloys are reached. The importance of these critical levels of strength and ductility lies in the fact that they predetermine the maximum permissible level of strength and brittleness for this class of HEAs, above which they lose their structural and functional properties, turning to the energetic alloys capable of explosive release of a significant amount of thermal energy. This specific feature of the high-entropy alloys containing Ti-Zr-Hf outlines the scope of their application and defines the boundary separating structural and functional high-entropy alloys from energetic high-entropy alloys.
Enhancing the Self-Heating Capability of AlGaN/GaN HEMT Gadgets with Fourth-Generation Semiconductor Components
Authors: Gao Zhongze , Tang Naiyun , Cao Wei
Published: March 2024

GaN possesses numerous exceptional properties, such as wide bandgap and high thermal conductivity, which make it an ideal material for fabricating semiconductor devices. The high electric field and current in the channel, coupled with the high power density, make it inevitable that HEMT devices will generate a great deal of heat. Thus, an increase in temperature will unavoidably cause the DC and microwave characteristics of the device to deteriorate. At present, the fourth-generation semiconductor materials with new ultra-broad or ultra-narrow band gaps, mainly Ga2O3, GaSb, diamond and AIN, have emerged. In conventional situations, the substrate material will be Si, Sapphire, or the more advanced third-generation material SiC compared to the former, and the passivation layer will use SiN as the material. Our research is in progress to replace the traditional SiN and third-generation SiC with diamond and GaSb.
Complex Equipment Quality Data Integration Platform Based on the Middle Platform Concept
Authors: Ji Cuibin , Zheng Dong , Zhang Wensong , Huang Hailian , Yu Jiaying
Published: March 2024

In order to deeply mine and apply the quality data generated in all aspects of the product, combined with the integration requirements of quality data resources, a complex equipment quality data integration platform based on the middle platform concept was established. Firstly, the paper designs a system functional framework based on the overall construction goals of the platform. Secondly, quality data cleaning based on the LD-LCS text similarity algorithm is developed, and quality fault data is analyzed for knowledge mining. Finally, taking the whole life cycle quality management business of an aerospace enterprise as an example, combined with the concepts of China and Taiwan, the application verification of the complex equipment quality data integration platform was carried out. The results show that the platform realizes the integration with quality data as the core and improves the data quality.
Flower Species Classify System Based on Deep Learning
Authors: Qu Xingjian
Published: March 2024

Flower classification is a crucial task for understanding biodiversity, tracking climate changes, and protecting endangered plants. In this paper, we propose a deep learning approach using a convolutional neural network (CNN) architecture for accurate and efficient flower classification. Our methodology includes preprocessing the dataset, implementing the CNN architecture, and training the model using stochastic gradient descent with cross-entropy loss. Our results demonstrate that our approach achieves an accuracy of 91.73% on the test set, which is comparable to or better than other sophisticated models. Ablation studies reveal the importance of each component of our CNN architecture, while our data preprocessing step improves the model’s generalization performance and prevents overfitting. Our study provides a reliable and effective deep learning approach for flower classification that can be used in various applications, including botany, agriculture, and ecology.
Low-Illumination Power Line Foreign Object Detection Based on Enhanced YOLOv5
Authors: Zhou Jingshan
Published: March 2024

Foreign objects on power lines especially on high-voltage power lines can threaten transmission safety. Therefore inspection of power lines is very important. In the inspection process, people often face low-illumination situations, which could cause great difficulties in the inspection. In this paper, I conducted this study to use the improved Retinex based on HSV color space for image enhancement and then use the improved YOLOv5 with SimAM attention mechanisms for power line foreign object detection. Evaluation of the algorithm through multiple datasets shows that the algorithm can effectively detect power line foreign objects and has application value for power line inspection tasks.
An Audio Amplifier with Automatic Gain Control Functionality
Authors: Xu Guoyuan
Published: March 2024

This paper presents the design of an active biquad audio amplification circuit based on an AGC circuit. The objective of the study is to achieve frequency splitting and power amplification of audio signals by using an active biquad network. The entire circuit consists of three main modules: the preprocessing circuit, the high-pass and low-pass filtering circuits, and the power amplification circuit. In the design, a signal generator is employed as the signal source. The first stage of the preprocessing circuit utilizes an AGC circuit, which implements automatic gain control through negative feedback. The second stage filtering circuits employ passive filters, while the power amplification stage incorporates the specialized Hi-Fi power amplifier chip TDA2030. Voltage followers are used between different stages to ensure impedance matching. Through simulation verification, this design has been demonstrated to meet the requirements effectively, yielding highly satisfactory results.
Multi-Physical Field Simulation of Radiofrequency Therapy for Alzheimer’s Disease
Authors: Liu Wenjia , Li Jian , Qian Long , Rao Xin , Chen Xiaodong , Yu Liyang
Published: March 2024

Alzheimer’s disease currently has no effective treatment, the reason may be limited to the inherent problems of biochemical means. Radiofrequency wave is a physical means to regulate cells efficiently and noninvasively, which can ameliorate or even reverse the condition of Alzheimer’s disease. To advance radiofrequency therapy for Alzheimer’s disease into clinical application, it is necessary to validate the safety of this therapy and explore the parameter optimization with the human brain environment. Therefore, this study established a concise multi-physical field simulation model of the electromagnetic field and biological heat. The security is preliminarily verified by comparing the specific absorption rate (SAR) and temperature distribution of different power at 918 MHz radio frequency, and a parameter optimization scheme is proposed. This study provides data support for the therapeutic research system design of this therapy and lays a theoretical foundation for further clinical research.
Isolated Sign Language Recognition Based on Deep Learning
Authors: Wang Junjie
Published: March 2024

Communicating with hearing-impaired individuals poses a significant challenge. However, with the advancement of computer vision, automatic sign language recognition (SLR) is gradually addressing this issue and has made significant improvements. One of the key challenges in SLR lies in accurately capturing and interpreting the subtle nuances and variations in sign language gestures. In this study, our focus is on recognizing isolated sign language using the LSA64 dataset, which is a small-scale dataset of Argentinian isolated sign language. We concatenated CNN and LSTM into an end-to-end sign language recognition model for an isolated sign language recognition dataset, recognition of the Argentine Sign Language dataset (LSA64). We achieved promising results in our study, obtaining a high accuracy rate of nearly 97% while ensuring that the model remained compact in size.
An Investigation of Unidirectional Water Transport Performance Evaluation of Textile Based on Single-Sided Imaging
Authors: Huang Qiongxin , Jiang Yanting , Yang Xiuting , Li Yuyang , Xin Binjie , Xu Yingqi
Published: March 2024

In this paper, single-side indirect method unidirectional water guide testers are developed to solve the adverse effects of complex fabric textures on the testing. The image sequence of the wetted fabric area is effectively segmented through the adaptive histogram equalization with limited contrast and the evolution of the distance regularization level set. Feature parameters such as the area, size, and speed of the wetting area are extracted from the obtained image sequence, and the unidirectional water transport of the fabric is characterized and analyzed.
Fusion Navigation of BeiDou-3 and Remote Sensing Information in the Case of Satellite Signal Loss
Authors: Chen Yue , Zhao Zhenyao , Ma Cunbao , Qu Jing
Published: March 2024

This article presents a method to address the issue of decreased navigation accuracy caused by partial or complete signal loss of the BeiDou-3 satellite navigation system in complex environments. For cases where the number of satellites is insufficient but not completely depleted, the article introduces a method that combines odometry scene matching with BeiDou navigation. The fusion navigation framework of BeiDou-3 and remote sensing information is analyzed and studied, and a corresponding mathematical model is designed. For scenarios where satellite navigation signals are completely lost, the article proposes a solution based on the BP neural network. It utilizes the original satellite measurement information and remote sensing information when the BeiDou-3 signal is available for training and prediction, enabling compensation and correction of the positioning error based on remote sensing information. Simulation experiments demonstrate the effectiveness of these methods in improving the navigation accuracy of the BeiDou-3 satellite navigation system in complex environments.
Enhancing License Plate Recognition in Foggy Conditions Based on YOLOV5 and MOSAIC Method
Authors: Wang Zihan
Published: March 2024

The high precision recognition accuracy of the license plate for driving system is a challenging issue, especially in low-light conditions, such as foggy days. This paper introduces a foggy object detection network based on YOLOV5 to extract the relevant features of license plate images and train them for detection tasks, and then introduces the MOSAIC enhancement algorithm to recognize license plates in real time. The whole recognition process is mainly divided into two processes: license plate positioning and license plate character recognition, which is conducive to reducing the accumulation of recognition errors and improving the efficiency of recognition. According to the test results, the detection accuracy of the enhanced YOLOV5 is significantly improved, and its ability to identify and manage traffic vehicles is improved, with accurate and effective vehicle information.
A Hop-by-Hop Congestion-Aware MAC Protocol
Authors: Liu Mei , Su Ciding
Published: March 2024

Congestion in wireless networks may result in packet drops or delay delivery of important information staying in the cache. CA-OSMA (Opportunistic packet Scheduling and Media Access Control with congestion aware) protocol proposed in this paper, first introduce a new metric to qualify the congestion level, which takes buffer occupancy, packet loss and excessive MAC contention together into account. Then, a new protocol taking advantages of multi-user diversity is proposed to migrate congestion and further improve the fairness of channel access. Compared with end-to-end TCP congestion control, the total delay decreases and the reliability raises in this hop-by-hop control. It benefits more for the networks with severe loads especially the backlogged network.
Convolutional Network-Based Botnet Attack Detection
Authors: Ren Qingqing , Jin Yang , Zhao Xuezhi , Li Haoshen , Zhong Luxue
Published: March 2024

Botnet attacks can cause serious hazards such as data leakage, privacy compromise and malicious mining, seriously affecting the normal productive activities of network users. Due to the many types of botnet attacks, rich means and fast update rate of variants, botnet attack detection becomes a daunting challenge. Deep learning methods have the advantages of autonomous learning of traffic features and strong scene adaptation ability. Using deep learning methods for botnet attack detection can effectively improve the accuracy of botnet attack detection. In this paper, ECANet is introduced based on the ResNet model to propose a model EC-ResNet for detecting botnet attacks and improving the loss function during training to achieve high accuracy identification of botnet attacks. Experiments show that the detection accuracy of the EC-ResNet model proposed in this paper for botnet attacks is 93.45%, which is 1.59% better than that of ResNet.
Multi-Exposure Fusion Method for Space Target Images Based on Multi-Feature Weights
Authors: Huang Aojiong , Zhang Yifan
Published: March 2024

Aiming at the characteristics of low brightness of space target image, low contrast with space background and uneven image exposure, a multi-exposure fusion method of space target image based on multi-feature weight was proposed. In this method, contrast features, adaptive optimal brightness features and salience features are used as the basic weights of image fusion weights, and the final weights of image fusion are calculated from these three weights. At the same time, aiming at the low brightness of space target image, local color correction technology is further used to improve the overall brightness of fused image. The experimental results show that compared with the four commonly used multi-exposure fusion methods, the proposed method can achieve better multi-exposure fusion effect on space target images, and the information entropy, spatial frequency and average gradient indexes are improved by 103.8%, 7.69% and 33.72%, singly. IL-Niqe, PIQE and BRISQUE had an increase of 33.99%, 13.57% and 19.07%, respectively.
The Text Detection and Recognition Method for Electrical Nameplates Based on Deep Learning
Authors: Wang Yapeng , Du Yanan , Pang Zhengning , Qi Jingxian , Ge Hongsong
Published: March 2024

To achieve automatic extraction of text information from electrical equipment nameplates and improve equipment management efficiency, a text content extraction method for nameplate scenes is proposed. OCR, as a part of artificial intelligence, combined with deep learning, can achieve higher accuracy in nameplate recognition and a wider range of applications. There are two key issues worth exploring in the OCR recognition process: text region detection and text region recognition. The OCR recognition in this paper adopts the text detection and text recognition algorithm model based on Meaningful learning. Specifically, using the CTPN algorithm for text region detection and the CRNN algorithm for text recognition.
E2 Net: Efficient and Effective Dense Pedestrian Detection Network Based on YOLOv8
Authors: Zhu Yancheng
Published: March 2024

The goal of dense pedestrian detection is to accurately identify and locate pedestrians in crowded scenes. The majority of available dense pedestrian detection algorithms are built on a two-stage framework. The two-stage framework generally transforms the target detection task into a regression task by selecting candidate regions. However, two-stage-based approaches have issues with high computational complexity and subpar real-time performance since they necessitate several region suggestions and feature extraction operations. By executing prediction and regression operations directly on the feature map and skipping region suggestion and multi-stage processing, YOLOv8, as a single-stage detection approach, may substantially decrease computational complexity and increase real-time performance. However, it still has shortcomings in small-scale pedestrian detection and occlusion processing. To solve this problem, we propose an efficient and effective dense pedestrian detection method based on YOLOv8, called E2 Net. We introduce an efficient convolution operator, Partial Convolution (PConv), to reduce computational redundancy and memory consumption. Also, we apply PConv to the FasterNet architecture to improve feature extraction efficiency while maintaining performance, enabling efficient spatial feature extraction on multiple devices. In addition, we introduce a novel loss optimization scheme to reduce small-scale pedestrian misses and incorporate a weighted bi-directional feature pyramid network (BiFPN) to achieve a flexible multi-scale feature fusion algorithm with content awareness. Through extensive experiments, it has been verified that E2 Net has higher accuracy and efficiency on dense pedestrian detection tasks than existing state-of-the-art algorithms.
Conditional Image Translation with Improved Pix2Pix
Authors: Zhang Xinai
Published: March 2024

Conditional Image Translation is an emerging field within computer vision, continually providing new opportunities for innovation. This paper introduces a refined adaptation of the Pix2Pix model, emphasizing an enriched loss function that not only incorporates perceptual aspects for better semantic and structural representation but also leverages a meticulously researched, optimal weight ratio for the different components of the loss function. The specification of this weight ratio is determined based on the unique objectives of our research, marking a nuanced and tailored approach towards model optimization. To objectively measure the performance of our advanced model, we utilize the Fréchet Inception Distance (FID) as a reliable evaluation metric, ensuring precision and transparency in our assessment process. Upon testing on the facade dataset, our model exhibits a significant enhancement in generating high-quality, detailed images, thus verifying the effectiveness of our method in the broader domain of conditional image translation. The deliberate allocation of the weight ratio within the loss function represents a pivotal innovation, substantiating the importance of this research in the continuing evolution of the field.
FPGA Implementation of Dark Channel Prior and Defogging for Video Images
Authors: Li Jian , Guo Yonglin , Li Guoxing
Published: March 2024

To solve the problem of the image defogging Algorithm through dark channels proposed by He Kaiming which is too complicated to implement in hardware. This article introduced an improvement to the original algorithm and transplantation to the FPGA-based hardware systems. We discussed the three main modules including the module of dark channel processed and the estimation of atmospheric light, the module of edge detection and filtering and the module of image restoration in the algorithm implementation process. The Experimental showed good results in the restoration work of outdoor acquisition images. The output images quality is also significantly improved.
Information Transfer by Quantum Entanglement in the Brain
Authors: Mousavi Seyed Kazem
Published: March 2024

A human brain can communicate with another one’s brain was using quantum entanglement. Identical particles can entangle without interaction. Sensory communication between two individuals from far distances is still not known. In this research, the information transfer based on entanglement between the brains of two persons was investigated. The test was performed on two individuals far from each other. These individuals were put under the same music on the basis of brain neuroplasticity property. By activating the brain reward system, aligned thinking was time-scheduled in these individuals’ brains. On the basis of entanglement, compressed information has been sent and received between these two individuals.
The Loneliness Epidemic: Exploring Its Impact on Mental Health and Social Well-Being in Modern Society
Authors: Kehinde Segun
Published: March 2024

The Loneliness Epidemic has emerged as a pressing concern in contemporary society, profoundly influencing mental health and social well-being. Through an extensive examination of existing research and scholarly discourse, this review aims to deepen understanding of the psychological, emotional, and social dimensions of loneliness in modern society. By synthesizing findings from diverse sources, this review seeks to inform future research directions, intervention strategies, and policy initiatives aimed at addressing the loneliness epidemic and promoting mental well-being and social resilience in modern society.
Analisa Perbandingan Metode Algoritma Iterative Dichotomiser 3 Dan Algoritma C.45 Dalam Pengukuran Kepuasan Konsumen
Authors: Alvy Muhalim  , Pratama Denni , Rahaningsih Nining
Published: March 2024

Pelayanan prima guna mencapai tujuan, untuk mencapai hal tersebut perlu memperbaiki pelayanan kepada konsumen tersebut,  karena pelayanan tersebut masih belum terukur secara efektif dan pelayanannya masih belum menggunakan metode,  untuk menilai pelayanan yang di berikan kepada konsumen. Tujuan utama dari survei kepuasan konsumen adalah untuk menghitung kepuasan konsumen pada CV. Bintang Terang Sejathera dengan memberikan kuesioner yang telah disi oleh konsumen, hal ini guna meningkatkan dan mengukur sejauh mana kepuasan konsumen. Hasil akurasi algoritma ID3 yang didapat yaitu sebesar 99,13% dengan rincian yaitu Hasil Prediksi Puas dan ternyata True Puas Sebesar 164 Data, Hasil Prediksi Puas dan ternyata True Tidak Puas Sebesar 2 Data, Hasil Prediksi Tidak Puas dan ternyata True Puas Sebesar 0 Data, Hasil Prediksi Tidak Puas dan ternyata True Tidak Puas Sebesar 63 Data. Hasil akurasi algoritma yang didapat yaitu sebesar 95,63% dengan rincian yaitu Hasil Prediksi Puas dan ternyata True Puas Sebesar 160 Data, Hasil Prediksi Puas dan ternyata True Tidak Puas Sebesar 6 Data, Hasil Prediksi Tidak Puas dan ternyata True Puas Sebesar 4 Data, Hasil Prediksi Tidak Puas dan ternyata True Tidak Puas Sebesar 59 Data. perbandingan hasil algoritma, maka terlihat dari tabel tersebut algoritma ID3 sebesar 99,13% dan Algoritma Decision Tree Sebesar 95,63%, artinya algoritma ID lebih baik dari algoritma decesion tree.
Aplikasi E - Commerce Dengan Metode B2B Untuk Memudahkan Penjualan Ayam Pedaging Berbasis Website
Authors: Rina Khaerunnisa  , Rahaningsih Nining , Wahyudin Edi
Published: March 2024

Subang Inpres Market is a traditional market located in Subang Regency, West Java. Subang Inpres Market is one of the markets that can be said to be crowded with visitors, especially in the marketing of broilers. However, the marketing process at the Inpres Market is still done manually while the financial reports are still stored in paper form, this is one of the obstacles faced by suppliers at the Subang Inpres Market in managing data on chicken purchases. This study aims to create a website-based e-commerce application that can simplify the marketing process at the Subang Inpres Market, besides being able to assist the government in minimizing crowds which is highly discouraged during the current Covid-19 pandemic. The e-commerce model developed at the Subang Inpres Market is a B2B (Business to Business) model in the transaction process of providing information and consulting related to the goods or services offered. The waterfall method was chosen as the method of designing this system. The waterfall model is also commonly referred to as a sequential linear waterfall model or classical lifeline (Classic Cycle). This waterfall provides a way for system development systematically with several stages, namely analysis, design, coding, testing to Supporting stages. The results of this study show that with a thungtubal value of 3.301 > 2.55238. Based on this, it can be concluded that the accepted hypothesis is that the application of a website-based e-commerce application system is able to facilitate the process of sales transactions, data archiving, and increase sales of broilers at the Subang Inpres Market by percentage index of 82%.
Pengolahan Gambar Melalui Metode Artificial Light Pada Food Photography Sebagai Media Promosi Visual
Authors: Yubi Salahuddin Al-ayyubi , Pratama Denni , Tohidi Edi
Published: March 2024

Pada zaman modern ini, fotografi menjadi popular dalam publikasikan melalui media sosial. Salah satu kegunaan media sosial saat ini yaitu sebagai ajang untuk mempromosikan suatu produk dan jasa. Food photography adalah jenis fotografi yang lebih condong memotret sebuah makanan agar terlihat lebih menarik dan hidup. Umumnya, pemotretan ini memiliki tujuan tertentu. Salah satu yang paling sederhana, yaitu untuk mengabadikan makanan menjadi lebih menarik. Atau bisa juga foto digunakan sebagai media promosi. Hal-hal apa yang perlu diperhatikan yang mempengaruhi food photography itu sendiri, dan bagaimana mengkomunikasikan food photography itu sendiri sebagai objek yang menjual dan menarik minat dari pelanggan untuk membelinya. Food photography menjadi salah satu trend promosi makanan di media sosial yang tujuannya untuk meningkatkan selera konsumen. Tujuan pembuatan karya ini adalah pemotretan food photography sebagai alat promosi di media sosial dengan teknik pencahayaan artificial lighting dan konsep sesuai target market untuk mendapatkan konsumen baru. Food photography sebagai bagian dari commercial photography, karya food photography bersifat memberikan informasi dan membentuk citra pada benak konsumen untuk menarik perhatian dan mengarahkan khalayak melalui media. Tandakutip.company merupakan mitra yang bergerak di industri fotografi casual dan komersial, sudah menghasilkan banyak sekali karya kreatif dan inovatif yang menjadi tumpuan anak muda di kuningan untuk belajar dunia photography khususnya di dunia fotografi komersial.
Analisa Data Peserta Didik Sdn 2 Sarajaya Menggunakan Algoretma K-Mean Dengan Optmize Parameter Grid
Authors: Muhammad Syahrul Efendi  , Wahyudin Edi , Kaslani Kaslani
Published: March 2024

Analisis data adalah proses pengolahan data dengan tujuan untuk menemukan informasi yang berguna yang dapat dijadikan dasar proses analisis. Data yang digunakan untuk menganalisis sebuah data adalah menggunakan data Peserta Didik SDN 2 Sarajaya,Penulis memiliki permasalahan yaitu belum adanya pengelompokan data peserta didik menggunakan K-means di SDN 2 Sarajaya dari permasalahan ini penulis akan mengelompokkan data dengan nilai DBI selain itu akan mencari type parameter apa yang terbaik dari data peserta didik yang ada di SDN 2 Sarajaya yaitu dengan data peserta didik menggunakan clustering algoritma K-Means dengan optimize parameter .Clustering adalah Suatu algoritma untuk mengelompokkan beberapa data ke dalam kelompok data tertentu (cluster).data peserta didik memiliki data 150 data dengan 45 atribut diantaranya No,Nama,NIPD,Jk,NISN,Tempatlahir,Tanggallahir,NIK,Agama,Alamat,Rt,Rw,Dusun,Kelurahan,Kecamatan,KodePos,JenisTinggal,AlatTransportasi,Penerimaan KPS,No KPS,Nama Ayah,Tahun Lahir Ayah,Pendidikan Terakhir Ayah,Pekerjaan Ayah,Penghasilan Ayah,Nama Ibu,Tahun Lahir Ibu,Pendidikan Terakhir Ibu,Pekerjaan Ibu,Penghasilan Ibu,Rombel,Penerimaan KIP,Nomor KIP,No Registrasi Akte Kelahiran,Bank,Nomer Rekenng Bank,Rekening Atas Nama,Layak KIP(usulan sekolah),Alasan Layak KIP,Kebutuhan Khusus,Sekolah Asal,Anak Ke Berapa,Lintang,Bujur. Tools yang digunakan peneliti adalah rapidminer versi 9.10.000. Algoritma K-Means merupakan salah satu algoritma yang digunakan untuk partisi karena K-Means didasarkan untuk menentukan jumlah awal claster menurut definisi untuk mencari nilai awal cetroid. Tujuan dari penelitian yang dilakukan penulis untuk mencari informasi dari data tersebut.Metode pengujian yang digunakan yaitu dengan metode KnowlledgeDiscovry in Database (KDD).Pada hasil clustering diperoleh cluster data peserta didik menggunakan Devies Bouldin Index nilai yang paling mendekati angka 0 dengan percobaan cluster 2 sampai cluster 10 menghasilkan nilai K yang terbaik pada cluster 4 den nilai DBI 0.12 dan jumlah anggota L0 : 79 klaster L1: 1 klaster L2: 1 klaster L3: 69 klaster dengan  types parameternya BrigmanDivergences.
Komunikasi Asik Keluarga di Tengah Pandemi
Authors: Dartina Vina Dartina
Published: March 2024

The variety of conflicts or friction that occurs in the family causes social interactions in the family to experience dynamics. The COVID-19 pandemic teaches us to understand how family communication management should be. Each family entity must be understand its roles and responsibilities. A father must know his role as a good father and family leader. Likewise, mothers must know their role as a wife and biological mother for their children. Likewise, a child must know what his role is as a child of both parents. In collaboration with Young Living Indonesia, the author conducted a 1-day webinar as an effort to provide training related to communication within the family. The communication approach in the family that is carried out refers to the aspects of interpersonal communication of family members, namely openness, empathy, support, positive feelings, and equality. The method used in solving communication problems in the family is through online counseling or webinars which aim to increase understanding and awareness of the importance of building communication within the family. The results of this webinar include participants starting to realize that by building communication, they can improve and improve the quality of family life, which will be followed up by directly practicing what is conveyed in the webinar in their respective families.
Pendampingan Dosen dan Mahasiswa STIBANKS Semester Akhir dalam Sitasi Menggunakan Mendeley
Authors: Supriatna Encep
Published: March 2024

Creating a table of contents, table of tables, list of figures, and bibliography manually will be a hassle for writers, especially when editing of content occurs which has an impact on shifting page numbers, or changes in page format or reference style. This community service is carried out using the service learning method, to add insight to lecturers and final semester students at the Al Ma'soem Islamic Banking College. By providing insight into the technique of creating documents in Microsoft Word so that it can present a table of contents, table list, list of images automatically, Mendeley installation, how to add references to Mendeley, how to cite with Mendeley, automatically present a bibliography, and change the style as needed. With this training, it is hoped that it can add insight to lecturers and students in writing articles or research results correctly and easily in accordance with applicable rules/rules.
Sosialisasi terhadap Orang Tua tentang Penggunaan Internet yang Sehat dan Aman bagi Anak-anak
Authors: Dewi Sofia
Published: March 2024

The existence of the internet has separated itself from human life, young and old. Like most internet users, especially social networks that allow them to freely access information and interact with others through cyberspace, can have both positive and negative impacts on children. The negative impact of free and uncontrolled internet use can damage moral and social life. Children are particularly at risk of these negative impacts. It can affect their outlook on life so it becomes a bad trait. This condition requires efforts to avoid and anticipate the bad effects of the internet on children. The main effort should be made by parents as their closest environment. Parents must set limits, monitor, and provide direction to children. Through community service activities that aim to provide education on the importance of the role of parents in supervising the importance of safe and healthy internet. The method of implementing the activities used is the method of counseling or socialization. The implementation of this socialization can maximize the positive impact of internet use and minimize the negative impact.
Pelatihan Citation dan Reference Manager dengan Menggunakan Mendeley
Authors: Sakina Rahma
Published: March 2024

This research aims at giving information and comprehension to undergraduate students of various study programs and universities in West Java about the rules of citation and reference manager by using Mendeley. This activity was held as an attempt to promote students’ paper quality which can be seen from its content and references. This activity was collaborated with Rafredu institution and was held online through Zoom Meeting. The method of this community service is Asset Based Community Development. The results show that the participants are able to understand the materials well and most of them are able to write down citation and references correctly by using Mendeley.