bluuebunny/crossref_metadata_2025 huggingface dataset:
Unsure Last Normal Menstrual Period among Pregnant Women in Low Resource Setting: The Experience from Federal Teaching Hospital Gombe, North-Eastern Nigeria
Authors: Terkimbi Utoo, Bernard
Published: February 2024

Background: The proper management of any pregnancy depends on the accurate determination of the gestational age. In resource constrained environment where imaging techniques may not be readily available, accessible and affordable, the knowledge of menstrual period is key. Unfortunately, some of the pregnant women at antenatal clinics do not know their last normal menstrual period (LNMP). Aim/Objectives: This research was designed to ascertain the proportion of women who do not know their LNMP and associated factors. Materials and Methods: This was a descriptive, cross-sectional study involving antenatal attendees at the booking clinic of the Federal Teaching Hospital Gombe. Data such as socio-demographics, knowledge of dates/associated factors and willingness to remember the menstrual period subsequently was collected through a structured questionnaire from 1st March to 31st August 2022 and analysis done with IBM® SPSS® statistical Inc., Armonk, New York, USA software version 25 for analysis. Qui-square used as a test of statistics and the results presented in charts, graphs and tables. Results: Out of the 350 respondents 181(51.7%) knew their LNMP, while 169(48.3%) did not know. However, as much as 70.6% of the respondents knew that LNMP is used to date pregnancy. Reasons for not knowing dates included; not just keeping records of dates (25.4%), ignorance of Gregorian calendar (13.0%), on contraceptives when pregnancy was identified (10.7%), no reason (8.3%), was breastfeeding (6.5%), among several others. Surprisingly, 32% did not know the problems that may arise due to ignorance of LNMP. Majority (90.0%) of the respondents are willing to remember their LNMP in the next pregnancy. Women ≤ 19years and ≥ 40 years (p=0.004), lower level of education (p=0.004), Grand-multiparity (p=0.035), more than 4 living children (p=0.02) and rural dwellers (p=0.001) were more likely not to know their LNMP. Conclusion: The study showed 48.3% of the women were ignorant of their LNMP. The associated factors were extreme of ages, low level of education, grand multi-parity, having more than 4 living children and rural place of residence. Going forward, majority of the women accepted to remember their LNMP.
Knowledge of Contraceptive Usage and Cultural Influence on Adoption of Family Planning Information in Cross River State
Authors: Ubi Arikpo Ofem
Published: February 2024

This study investigated Knowledge of contraceptive use and cultural influence and adoption of family planning information in Cross River State. The main objectives of the study were to determine how religion influence family planning, Find out how knowledge of contraceptive use influence family planning among rural women, and how culture influences family planning among rural women. Three research questions were raised to guide the study. The study adopted a descriptive research design and a sample size of 365 rural women was drawn from 16 primary health care centers in the Northern senatorial district of cross river state. A structured questionnaire and structural interview were used for data collection. Data were analyzed using descriptive statistics and Pearson moment product. The result of the study reveals that more of the Christian rural women 60%’ participated in the study, a good number of the women have knowledge of contraceptive use, and knowledge of contraceptives has a relationship with Family planning N=365, r = .914**, p<.005, culture has a highly significant influence on family planning information of rural women N=365, r=.754**, p<.05. thus, it was concluded that more information should be given to rural women on the need for family planning and both religion and culture should be enlightened on the importance of family planning. It is recommended that more sensitization programs should be carried on in the different rural communities.
Intrapartum Epidural Anesthesia and Obstetric Outcome in Nulliparous Women with Term Labor: An analysis of 2 years’ Experience
Authors: Abdelkader Eltabakh Ahmed
Published: February 2024

Aim: to ascertain whether labour profiles and delivery outcomes of nulliparous women who received epidural analgesia were comparable to those of women whose labour was managed with alternative forms of pain relief. Patients and Methods: a prospective, randomised, controlled clinical study carried out in Saudi German and Elhussine University hospitals. Recruitment was open to 100 nulliparous women planning a vaginal delivery of a term singleton foetus. Results: 100 women, with gestational age of 37–41 completed weeks, were chosen at random to receive either continuous epidural analgesia (EPI) or alternative forms of pain relief (NEPI). Compared to the EPI group, the NEPI group's labour took less time to deliver (P<0.05). The first stage's mean duration was 3.7 ± 1.1 hours compared to 4.8 ± 3.1 hours (P < 0.05), while the second stage's mean duration was 102.4 ± 9.3 minutes compared to 132.1 ± 15.8 minutes (p < 0.05). The mean NEPI dose of oxytocin was 10.5 ± 2.3 units, while the mean EPI dose was 15.6 ± 2.5 units (p < 0.05). While NEPI groups had higher rates of spontaneous vaginal deliveries and caesarean sections than EPI groups, NEPI groups required fewer surgical deliveries overall (p < 0.05). VAS scores during labour were less significantly in EPI group (p < 0.05). Conclusion: Regardless of their intention to labour, nulliparous women use epidural analgesia frequently. Other pain management techniques are linked to a slight but statistically significant decrease in the average length of labour and the rate of surgical delivery in women who do not plan to use epidural analgesia as their primary analgesic modality.
Twisted Ovarian Cyst, Galactorrhea and Pituitary Hyperplasia Misdiagnosed as Prolactinoma: An Overlooked Longstanding Overt Hypothyroidism from Hashimoto’s Thyroiditis
Authors: Kasemsripitak Staporn , Jaruratanasirikul Somchit , Saengkaew Tansit
Published: February 2024

We describe a 14-year-old girl who was referred for management of a prolactin-secreting pituitary adenoma as she had persistent milky discharge from her nipples, an elevated prolactin level and pituitary enlargement. Upon reviewing the medical history, it was noted that she had a history of secondary amenorrhea for 1 year, and had undergone an oophorectomy for twisted left ovarian cyst 5 months earlier. The physical examination found that she had a goiter, short stature and was relatively overweight. Based on these findings, it was thought that the patient likely had longstanding overt hypothyroidism. A thyroid function test (TFT) revealed a free thyroxine (FT4) level of 0.2 ng/dL and thyroid stimulating hormone (TSH) >100 mU/L, with high levels of antithyroid peroxidase (anti-TPO) and anti-thyroglobulin (anti-TG) antibodies, leading to the diagnosis of Hashimoto’s thyroiditis. After 8 months of levothyroxine treatment, the galactorrhea had disappeared, the pituitary enlargement had resolved and her menstruation had resumed normally, along with a 4-kg weight loss and 3-cm height gain. In summary, when evaluating a girl with ovarian cyst(s), especially if accompanied by other clinical findings like goiter, short stature, or menstrual irregularities, the physician should include hypothyroidism in the differential diagnosis. Early diagnosis and treatment of hypothyroidism can have a positive impact on the overall health and well-being of these patients, potentially preventing further complications related to both the thyroid disorder and ovarian cyst(s).
HYDRO-GEOCHEMICAL EVALUATION AND APPLICATION OF WATER QUALITY INDEX (WQI) OF GROUNDWATER ON EAST COAST STRETCH OF TAMIL NADU, INDIA
Authors: P. Mohana  , Batvari B. Prabhu Dass , Vijayalakshmi M. K. , V. Gopal
Published: February 2024

The geochemical characteristics of 33 groundwater samples collected in and around the Kalpakkam area in 2019 were investigated, as well as the effects of seawater intrusion. The dominance of anions and cations is Cl- > HCO3- > NO3- > SO4 and Na+ > Mg >Ca> K. Electrical conductance has exceeded the allowable limit in the northeastern part of the study area, which could be accredited to the proximity of a backwater. The Cl (strong acid) predominates over HCO3 and SO4 (weak acids) in the groundwater of the study region during both seasons of 2019, 90.9 percent and 100%, respectively, based on the hydro-chemical features. The Water Quality Index was determined, and many of the 33 samples fell into the bad category, followed by the nice. The majority of anions and cations show a positive correlation (correlation matrix) with Cl-, especially Na and Mg, suggesting these ions may have been derived from seawater intrusion, secondary salt leaching, and chemical weathering, indicating both natural and anthropogenic origins. The interaction of the ions representing Mg, Ca, Na, and Cl in factors suggests secondary salt leaching or backwater recharge. The study's theme is to examine groundwater's geochemical signatures through geochemical analysis. Using statistical approaches, assess the impact of various pollution sources. The water quality index (WQI) is used to classify the quality of groundwater.
Peran Guru Pendidikan Agama Islam dalam Menanamkan Nilai-Nilai Karakter Peserta Didik
Authors: Utami Tri Mega , Wahyudin Undang Ruslan
Published: February 2024

Penelitian ini bertujuan untuk mengetahui peran guru Pendidikan Agama Islam dalam menanamkan nilai-nilai karakter peserta didik untuk mengetahui metode, faktor pendukung dan penghambat yang dihadapi dalam menanamkan nilai-nilai karakter di SDN Wanasari 1 Telukjambe Barat terutama kelas V. Hasil Penelitian menunjukkan bahwa peran guru Pendidikan Agama Islam dalam menenamkan nilai-nilai karakter pada siswa dapat melalui kegiatan kelompok dengan harapan dapat menerapkan karakter disiplin dan tanggung jawab. Selain itu penerapan 7s (senyum, salam, sapa, sopan, santun, sabar dan syukur). Metode yang digunakan dalam menanamkan nilai-nilai karakter dapat melalui metode keteladanan, metode nasehat, metode demonstrasi, dan metode diskusi. Faktor pendukung dalam menanamkan nilai-nilai karakter yaitu adanya sarana dan prasarana yang mendukung dan media bercerita. sedangkan faktor penghambat dalam menanamkan nilai-nilai karakter yaitu diantaranya kesibukan orang tua, lingkungan, dan media massa. Selanjutnya solusi untuk mengatasi hambatan dalam menanamkan nilai-nilai karakter yaitu pemberian tugas dan kerjasama antara guru dan orang tua.
Pengaruh Layanan Bimbingan Klasikal Menggunakan Strategi FGD (Focus Group Discussion) Terhadap Peningkatan Kemandirian Belajar Siswa Kelas XI TKJ 1 SMK Negeri 1 Arahan Tahun Ajaran 2022/2023
Authors: Rufaedah Evi Aeni , Kurnaengsih Kurnaengsih , Rohman Fathur
Published: February 2024

Belajar adalah satu hal penting yang wajib dilakukan oleh manusia, yang mana dengan belajar dapat membuat manusia berkembang, dari segi intelektual, emosional maupun spiritual. Demi mencapai perkembangan yang optimal khususnya siswa harus bisa memotivasi dirinya agar bisa belajar secara mandiri guna mencapai cita – cita dan tujuan nya. Oleh karena itu peneliti tertarik untuk melakukan penelitian dengan judul “ Pengaruh Layanan Bimbingan Klasikal Menggunakan Strategi FGD (Focus Group Disscusion) terhadap Peningkatan kemandirian belajar siswa kelas XI TKJ 1 SMK Negeri 1 Arahan”. Terkait hal tersebut setelah melakukan observasi dan mnegetahui keadaan siswa kelas XI TKJ 1 SMK Negeri 1 Arahan bahwasanya menemukan beberapa rumusan masalah diantaranya, bagaimana pelaksanaan layanan bimbingan yang diberikan guru BK guna meningkatkan kemandirian belajar siswa?, dan bagaimana pelaksanaan layanan bimbingan klasikal menggunakan strategi FGD guna meningkatkan kemandirian belajar kepada siswa kelas kelas XI TKJ 1 SMK Negeri 1 Arahan beserta pengaruh layanan tersebut. Adapun metode penelitian yang digunakan yaitu metode kuantitatif model eksperimen dengan menggunakan populasi kelas XI TKJ  1 dan semua populasi kelas XI TKJ 1 di jadikan semple dengan teknik sampling jenuh. Teknik pengumpulan data dengan melakukan wawancara, observasi dan angket, dengan menggunakan pretest posttest sebagai instrument atau alat ukur yang selanjutnya dianalisis menggunakan metode skrosing dengan pengujian Uji Wilcoxon Signed Ranks Test. Dalam Uji Wilcoxon Signed Ranks Test dasar pengambilan keputusannya yaitu, jika nilai Asymp.Sig (2-tailed) lebih kecil dari 0,05, maka Ha diterima, dan sebaliknya, jika nilai Asymp.Sig.(2-tailed) lebih besar dari 0,05 maka Ha ditolak. Hasil dari analisis menjelaskan bahwa siswa mengalami peningkatan kemandirian belajar yang dilihat dari pretest posttest dengan hasil 33 data positif , dan mean rank peningkatan sebesar 17,00, sedangkan jumlah ranking positif atau sun of ranks adalah sebesar 561,00. Ada 1 siswa yang mendapat ties artinya dari nilai pretest dan posttest tidak mengalami perubahan. Hasil tersebut diperkuat dengan hasil analisis yang di selesaikan dengan nilai Asymp.Sig(2-tailed) yaitu 0,000 yang mana 0,000 < 0,05 dan oleh sebab itu dipenelitian ini Ha diterima, sehingga Layanan Bimbingan Klasikal Menggunakan Strategi FGD guna Meningkatkan Kemandirian Belajar Siswa Kelas XI TKJ 1 SMK Negeri 1 Arahan dinyatakan Berpengaruh.
Bimbingan Pranikah Bagi Calon Pengantin di Kantor Urusan Agama Kecamatan Cantigi Kabupaten Indramayu Tahun 2021
Authors: Himmawan Didik , Rusydi Ibnu , Dasmun Dasmun , Nisa Karimatun
Published: February 2024

Keluarga yang utuh adalah keinginan setiap pasangan suami istri. Untuk meraih dan mewujudkan keluarga yang di inginkan tersebut diperlukan kerja sama dari seluruh anggota keluarga. Untuk mengetahui pelaksanaan bimbingan pranikah dan materi bimbingan pranikah bagi calon pengantin di KUA Kecamatan Cantigi Kabupaten Indramayu. Metode yang digunakan metode kualitatif yang menghasilkan data deskriptif berupa kata-kata tertulis ataupun lisan. Bimbingan pranikah dilaksanakan setiap tahun secara rutin supaya lebih efektif dan efesien yang akan berikan oleh BP4 bertempat di ruang KUA Kecamatan Cantigi Untuk mempersiapkan perkawinan yang kokoh menuju yang keluarga sakinah dan mempersiapkan generasi yang berkualitas.
Kesetaraan Gender dalam Pendidikan Islam (Studi atas Pemikiran Fatimah Mernissi)
Authors: Hidayati Al , Rusydi Ibnu , Suhendrik Suhendrik
Published: February 2024

Kesetaraan gender merupakan pandangan bahwa semua orang harus menerima perlakuan yang setara dan tidak diskriminasi yang mengacu pada hak, tanggung jawab dan kesempatan yang sama antara perempuan dan laki-laki. Tujuan penelitian ini adalah mendeskripsikan dan menganalisis konsep dari kesetaraan gender dalam pendidikan Islam menurut Fatimah Mernissi. Hasil penelitian ini adalah Pendidikan merupakan kunci terbentuknya keadilan gender dalam masyarakat, kemampuan dan pengetahuan juga sebagai alat untuk mengkaji dan menyampaikan ide-ide baru. Pendidikan merupakan sebuah sarana strategis dalam melakukan perubahan khususnya pendidikan Islam
Konsep Pendidikan Islam dalam Keluarga (Studi Analisis Buku Dr. Nur Ahid, M.Ag)
Authors: Patimah Anah , Ibnudin Ibnudin
Published: February 2024

Berbicara tentang keluarga pasti selalu menarik perhatian, karena di dalamnya terdapat banyak persoalan. Apalagi dikaitkan dengan pendidikan. Penelitian ini membicarakan tentang konsep pendidikan Islam dalam keluarga, yang saya fokuskan pada buku pendidikan keluarga perspektif Dr. Nur Ahid, M. Ag. Adapun jenis penelitian ini ialah penelitian pustaka (Library research). Sifat dari penelitian ini termasuk dalam "Deskriptif Kualitatif". Metode pengumpulan data yang digunakan dalam penelitian ini adalah metode observasi dan dokumentasi, adapun teknis analisis datanya menggunakan teknik analisis isi (content analysis). Dalam pandangannya tentang konsep pendidikan Islam dalam keluarga, beliau menjelaskan bahwa pendidikan jasmani dan kesehatan dijelaskan di awal pembahasan, hal ini dikarenakan pendapatnya yang menyatakan bahwa pendidikan jasmani dan kesehatan telah dimulai sejak anak masih dalam kandungan atau belum lahir. Selain itu dalam membahas proses sosialisasi anak, Nur Ahid tidak hanya fokus pada bagaimana peran orang tua dalam membimbing anak untuk melakukan sosialisasi dan interaksi dalam keluarga saja, tetapi juga menguraikan mengenai peran orang tua dalam mendidik anak di lingkup masyarakat juga.
Diseño administrativo de la microempresa ‘Arepas de maíz Sarita’ ubicada en la ciudad de Pasto
Authors: Gómez Tulcán Eylim Roxana , Castro Cañar María Camila , Claudia Magali Solarte Solarte Claudia Magali Solarte Solarte
Published: February 2024

Teniendo en cuenta la relevancia y el papel fundamental que tiene el diseño administrativo para el éxito de la microempresa ‘Arepas de maíz Sarita’ ubicada en la ciudad San Juan de Pasto, se presenta el proyecto de un diseño administrativo que tiene como finalidad, aportar a la organización, una guía para hacer posibles cambios y adecuaciones en la microempresa, que se describe en el planteamiento del problema.
Estudio financiero de cuidadores de población con discapacidad severa en Nariño
Authors: Burbano Rodríguez Santiago Alexander , Insuasty Portillo Jazmín Nathaly
Published: February 2024

La discapacidad en la población mundial es un tema de enorme relevancia en cuanto a investigación, información y búsqueda de mejores condiciones para el desarrollo de las personas que la padecen; sin embargo, quizá pocos se preguntan e indagan acerca de las dificultades que soportan aquellas personas encargadas del cuidado quienes, a pesar de no sufrir una enfermedad que los incapacite de igual manera, atraviesan situaciones decadentes en sus hogares, ligadas a la exigencia tanto física como mental de cuidar a una persona con discapacidad. Ahora bien, la situación es aún más desconocida cuando se habla de la situación financiera de estos cuidadores y en cómo afrontan sus necesidades económicas en el diario vivir, sin un respaldo gubernamental que les permita una mejor generación de ingresos y calidad de vida.
Propuesta para la implementación del SG-SST para Bloques de Occidente
Authors: Botina Guzmán Mayerly Natalia , Guerrero Medina Paula Daniela , Velásquez Chaucanes Leider Andrés , Zambrano Hinestrosa Jairo Roberto
Published: February 2024

Actualmente, el Sistema de Gestión de Seguridad y Salud en el Trabajo (SG-SST) ha cobrado mucha importancia debido a que reduce el nivel de peligro o ausentismo en la parte laboral; también, se ha dado una mejora en la salud y en los hábitos de los trabajadores, generando así un alto índice de productividad, eficiencia y eficacia para la organización.
Plan de márquetin para las arepas rellenas de sabor
Authors: Oliva Estrella Jean Carlos , Erazo Diaz Kevin Giovanny , Solarte Solarte Claudia Magali
Published: February 2024

La empresa en la que se propuso desarrollar el plan de márquetin es Las Arepas Rellenas de Sabor, ubicada en la ciudad de Pasto, capital de Nariño. Cuenta con un equipo humano conformado por 15 colaboradores distribuidos en sus cuatro sedes a lo largo de la ciudad. Su objeto social es la compra y transformación de alimentos relacionados con la típica y tradicional ‘arepa’, ofreciendo diferentes presentaciones según el gusto del cliente, como: arepas rellenas de pollo, carne, queso y jamón o, la popular arepa mixta.
RANCANG BANGUN ALAT UJI PERKOLASI TANAH BERBASIS ARDUINO
Authors: Aryani Dharma , Jusriadi Jusriadi , Ifdal Fahrul
Published: February 2024

Water absorption testing through soil percolation test is mostly handled manually. During the testing process, it still requires many people to supervise it, and the reading error rate is still high. Therefore, a measuring instrument that works automatically is needed that can more specifically read the rate of water absorption into the soil accurately. In this final project, the tool is made using Arduino Mega, HC-SR04 ultrasonic sensor, 128x64 LCD, buzzer, NEO6MV2 GPS Module, RTC (Real Time Clock), push button, and Lithium-Ion Battery. The result of this final project is a soil permeability measuring instrument that can accurately measure the rate of water infiltration. Based on the results of design, testing and analysis of the design results, a soil permeability measuring instrument is obtained that can properly measure the rate of water infiltration
Analisis Penentuan Letak Trafo Distribusi Pada Penyulang Walmas Menggunakan ETAP Power Station 12.6.0
Authors: Arifyanto Dedy
Published: February 2024

Distribution transformers are devices designed to transmit electrical energy from the power source to consumers. The loading percentage on distribution transformers must not exceed the health index standard of 80% of their capacity, in accordance with the regulations of PT.PLN (Persero) as stated in directorate circular Number: 0017.E/DIR/2014. In addition to the loading percentage, the voltage variation in electrical distribution must comply with the specified limits of +5% and -10% from the nominal voltage as per SPLN No.1 of 1995. This research was conducted to analyze one of the distribution transformers that experienced overload, leading to a voltage drop in the electrical network system, necessitating appropriate measures to address the issue. The load forecasting for determining the capacity and lifespan of transformers is conducted using the Least Square method. Data from 2022 shows that the distribution transformer with the code "gardu 610.OK," with a capacity of 100 kV in the Walmas feeder at PT. PLN (Persero) ULP Palopo Kota, experienced an excessive load of up to 85.67%, resulting in a voltage drop of up to 18.2%. The research findings indicate that the installation of an additional transformer can reduce the loading percentage to 52.95% and improve the voltage drop percentage to 4.9% in the first quarter of 2023.
Monitoring Kinerja Jaringan Kampus 2 Politeknik Negeri Ujung Pandang Menggunakan Aplikasi Solarwinds
Authors: Litha Arni , Marampa Gresia Eunike , Duyo Rizal A , Yuniarti Yuniarti , Sakir Riesa Krisna Astuti
Published: February 2024

The internet network on campus 2 of the Ujung Pandang State Polytechnic (PNUP) often experiences interference with the internet network so that it becomes a complaint from students, lecturers and staff on campus. the network on campus is often down and it is difficult to access internet services to access the internet. So this study aims to measure the parameters of the internet network on campus using the solarwinds application. to analyze the results of monitoring network performance based on the parameters measured. To be able to determine the performance of the campus network 2 PNUP, it is necessary to analyze it by measuring the parameters of network latency, packet loss, throughput and bandwidth usage. Based on the measurement results on holidays in all buildings, the network latency and packet loss results were in very good condition, as well as the throughput and bandwidth were in good condition. By obtaining the overall condition is good. Whereas on the active day of lectures in all buildings, the results showed that network latency was not good and packet loss was in good condition, although there was often an increase in packet loss at certain hours of 100% but it returned to stability, and throughput and bandwidth were in poor condition. By obtaining the overall condition that is not good.
Sistem Pendeteksi Kesegaran Susu Formula Bayi Berbasis Internet Of Things
Authors: Amaliah Asma , Nabila Auliya
Published: February 2024

This research was conducted to design a tool for detecting the suitability of baby formula milk based on the internet of things. This tool is designed to obtain valid data on the period of time when baby formula milk is still suitable for consumption or is no longer suitable for consumption. As is known, the duration of milk spoilage cannot be measured with certainty. There are several sensors used in this system, namely a pH sensor and a gas sensor as well as reading detection results using an LCD and sending them in real time to Telegram. The microcontroller used is ESP32. Based on data obtained from testing using a pH sensor and a gas sensor, the results obtained were that the pH sensor detected that the brewed baby formula milk was considered unfit for consumption after 4 hours in free air conditions due to the results of the pH sensor showing, namely 6.44, which is the value indicates the milk has become acidic. Meanwhile, for the gas sensor, there was a significant change in value from the initial value after 5 hours of the milk being left in free air. The pH sensor was a fairly good detection tool in detecting spoilage of baby formula milk because the MAPE obtained was 1.34%.
Fault Diagnosis of CNC Machine Tools Based on Neural Network Optimization
Authors: Rao Jingting
Published: February 2024

Aiming at the diverse types and complex judgments of electrical faults, an improved BP neural network model is proposed for fault diagnosis of CNC machine tools. By integrating the strong global search ability and fast optimization speed of particle swarm optimization(PSO) algorithm, the premature phenomenon that often occurs in neural network algorithms in diagnosis is improved to enhance the diagnostic ability of RBF algorithm. The algorithm corrects the problem of individual particle actions and the tendency of standard PSO and neural networks to fall into local minima. The experiment and simulation results based on MATLAB indicate that compared with traditional BP neural networks and fuzzy neural networks, PSO optimizes neural networks which have higher accuracy in fault identification and stronger generalization ability. The application of this scheme in fault diagnosis of CNC machine tools can effectively improve the efficiency of fault diagnosis.
Modeling and Simulation of Intelligent Vehicle Flow Guidance Based on Agent
Authors: Xie Huiyu , Hu Xin , Wei Wenyuan , Dai Mian , Zhang Xiyue
Published: February 2024

In order to meet the needs of large-scale traffic control and traffic flow guidance coordination under the background of urban expansion, a regional traffic flow coordination control scheme is proposed by using agent and fuzzy control method. Firstly, the basic structure of Agent in intelligent traffic control is analyzed, and on this basis, an intelligent decision support system model for traffic flow prediction is established. Then, aiming at the shortcomings of agent in micro traffic simulation, it is proposed to combine other cellular automata for modeling. The fuzzy control strategy is applied to design the coordination controller for the execution strategy of the decision-making unit. The simulation results in MATLAB environment prove the effectiveness of the intelligent vehicle flow coordination control model, which can carefully describe the characteristics of traffic flow and the micro behavior of traffic entities.
A Kalman Filter Model for Ship Navigation Accuracy Optimization
Authors: Huo Huwei
Published: February 2024

Aiming at the problem of improving the navigation accuracy of ships, a Kalman filter algorithm based on optimization is proposed for navigation optimization. On the basis of studying the dead reckoning knowledge, we establish the dimensional dynamic equation of the ship integrated navigation system. Then the extended Kalman filter is adjusted by using fuzzy logic adaptive controller (FLAC) and it is applied to GPS/INS information fusion to enable it to have adaptive ability to deal with environment disturbance. Finally, the method is used to simulate the GPS/INS integrated navigation system on MATLAB platform. The results show that the improved model can effectively use part of the system data to update and iterate, and improve the stability and reliability of the filter, so it is also better suitable for ship navigation and target tracking.
Intelligent Recommendation Method for Talent Resources Based on Big Data
Authors: Ma Yuqian
Published: February 2024

In order to provide an efficient and reliable way to address recruitment challenges in talent resource management and improve the efficiency and quality of the entire recruitment process, a big data-based intelligent recommendation method for talent resources is proposed. Firstly, using the principles of big data mining, construct an adjacency matrix to complete the mining of talent resource data. Secondly, based on the excavated talent resource data, describe the characteristics of the talent resource data and calculate the similarity of talent resource scores and labels. Finally, based on the predicted results of talent resource ratings, complete the recommendation of talent resources. The test results show that the method proposed in this paper can reduce the root mean square error between the actual and predicted scores of talent resources, and improve the accuracy of talent resource recommendation.
Intelligent Temperature Monitoring for High Voltage Cable with Non-Invasive Low Power Consumption
Authors: Liu Jiaojiao , Liu Sanwei , Yang Min , Duan Xiaoli , Mao Yulong , Gu Jianpeng , Yu Ting , Fan Xiangyu , Duan Jianjia
Published: February 2024

When the temperature of the cable core is too high, it will accelerate the aging of the insulation material, affect the safe operation of the cable, and shorten the service life of the cable. Therefore, a simple and effective way to monitor the cable core temperature in real time is an important measure to improve operation and maintenance efficiency and reduce the risk of failure. There are many problems with the traditional cable temperature measurement methods, such as the large influence of ambient temperature, low measurement accuracy, and high application cost. In order to solve these problems, this paper designs a set of low-power non-invasive high-voltage cable core temperature monitoring system based on the non-invasive high-voltage cable core temperature measurement principle of temperature field construction and sensor array. In this paper, through theoretical analysis and with the help of experiments, we obtain the temperature gradient law of 10kV true high-voltage cable after local wrapping of heat-resistant medium and derive the analytical calculation formula of the cable core temperature.
A Road Planning Optimization Method Based on Beam Search
Authors: Liu Yanzi
Published: February 2024

In order to properly solve the problems of scattered data and difficult information updating in urban road information management, the cluster search scheme is used to improve the management efficiency of road planning. This paper takes the urban disaster prevention as example, and reveals the contradiction between the existing urban form in several cases. To shorten the average waiting time and working distance of stored vehicles, the corresponding mathematical model of cluster search is established by investigating the collected data and extracting the data. Then combining with the actual garage layout and taking the distance of stacker, the average waiting time of customers and the average waiting queue length as the measurement index, the simulation program is compiled with MATLAB, and the effects of different garage layout modes on the overall operation efficiency under a certain storage capacity are analyzed and compared. The results show that cluster search can shorten the running distance by about 50% and the average waiting time and queue length by about 31% and 76% respectively.
Detection Method of Multi-Level Residual Network DDoS Attack Based on Random Forest
Authors: Yu Zheng , Qiu Shuang , Zhang XianFei , Zhu GuoWei , Dai DangDang , Zhang Xiong
Published: February 2024

in order to improve the security performance of multi-level residual network in the presence of DDoS attacks, a multi-level residual network DDoS attack detection method based on random forest is proposed. The random forest method is used to classify the multi-level residual network DDoS attacks, the Stirling approximation is used to obtain the entropy change rate, and the multi-level residual network DDoS attack detection is realized based on the comprehensive correlation of mutual information between features. The experimental results show that when using the improved method, the detection accuracy is 98.71%, the detection time is 36.87s, the stability is high, and has certain advantages.
Research on Automatic Identification of Internet of Things Illegal Intrusion Based on Unsupervised Learning
Authors: Feng Hao , Li Jing , Liu Fen , Zhang XianFei , Wang JingJing , Wang Yixi
Published: February 2024

In order to improve the accuracy and efficiency of Internet of things illegal intrusion identification, an automatic identification method of Internet of things illegal intrusion based on unsupervised learning is proposed. Firstly, in order to accurately and automatically identify the illegal intrusion of the Internet of things, the gradient descent clustering method is used to fully collect the illegal intrusion data of the Internet of things. Secondly, the kernel principal component analysis method is used to extract the characteristics of online intrusion data. Finally, unsupervised learning neural network is used to train the above extracted intrusion data features to complete the automatic identification of illegal intrusion in the Internet of things. The experimental results show that compared with the traditional intrusion recognition methods, the recognition accuracy and efficiency of this method have been significantly improved.
Hierarchical Network Security Situational Awareness Model Based on Honeypot Technology
Authors: Guo Feng , Feng Hao , Qiu Shuang , Yu Zheng , Li Jing , Tong YongFei
Published: February 2024

In order to improve the accuracy of hierarchical network security situational awareness and reduce the space consumption ratio of the awareness process, this paper proposes a new hierarchical network security situational awareness model based on honeypot technology. Firstly, the deployment location of honeypot in hierarchical network is analyzed. Secondly, honeypot technology is used to extract the characteristics of hierarchical network security threats. Finally, according to the security threat feature extraction results, the network security situation value calculation function is constructed, and the output results of the function correspond to different network situations, so as to complete the network security situation awareness. The experimental results show that compared with the traditional security situational awareness model, the perception accuracy of this model is higher, which is always maintained at more than 97%, and the idle consumption of this model is lower.
A Method for Automatically Capturing Abnormal Data in Power Monitoring Networks Based on Deep Learning
Authors: Zhu Dan , Zhang Zhong’ao , Xu Zuowei
Published: February 2024

In order to improve the quality of power monitoring and avoid interference from abnormal data on monitoring results, a deep learning based automatic capture method for abnormal data in power monitoring networks is proposed. Firstly, the gradually aligned fusion network in deep learning is used to extract the feature sequence of power monitoring network data, and the feature fusion of power monitoring data is completed through the calculation of weights and feature channels. Finally, input the fused data features of the power monitoring network into the support vector machine, and complete the classification of abnormal data and normal data by constructing the optimal hyperplane, achieving automatic capture of abnormal data. The experimental results show that compared with existing anomaly data capture methods, our method has higher recall and shorter capture time.
Reliability and Safety Evaluation of the Station Autonomous Machine System Based on Markov Model
Authors: Gao Bowen
Published: February 2024

The station autonomous system is the core of the centralized traffic control (CTC) system, and its reliability and safety are very important. In this work, the structures and working principles of the double hot standby autonomous system and the double 2-vote-2 autonomous system were analyzed. Based on the Markov model, the reliability and safety models of the systems were established considering the factors such as error detection rate and failure rate. MATLAB simulation results showed that the reliability of the double hot standby autonomous system is higher than that of the double 2-vote-2 autonomous system, but the safety of the double hot standby autonomous system is much lower than that of the double 2-vote-2 autonomous system, so the double 2-vote-2 autonomous system is more suitable for the structural design of the station autonomous system from the safety point of view.
Image Information Prompt: Tips for Learning Large Language Models
Authors: Zhang Yin
Published: February 2024

Sentiment text classification is a natural language processing technique for recognizing and extracting subjective information in text, such as emotions, attitudes, and opinions. Traditional models such as BERT and XLNet have achieved brilliant results in text classification problems. With the rise of large language model technology, using generative large models to improve text classification accuracy has become a new research direction. However, compared with traditional classification models, large language models have a slight disadvantage in language classification tasks. In this paper, we propose a prompt-based approach to enhance the accuracy of large language models for text classification using image prompt information on multimodal datasets. First, we illustrate the principle of consistency between image and textual information. Second, we propose a multimodal framework for sentiment analysis of images and text, which realizes the prediction of sentiment tendency for both image and textual data by injecting the image prompt information into the text and into the Large Language Model. Finally, we designed experiments and evaluated them using real multimodal datasets to verify the effectiveness and accuracy of the framework.
GPU Based License Plate Recognition Algorithm
Authors: Dou Qiao
Published: February 2024

License plate recognition is the most important means of determining vehicle identity in intelligent transportation management applications, and its recognition speed is related to the operational efficiency of the entire system.This paper proposes a GPU-based parallel programming method for the traditional license plate location and recognition algorithms, which uses the excellent parallel computing power of GPU and high memory bandwidth to improve image processing speed. A corresponding GPU parallel design model is proposed for character segmentation and recognition algorithm in license plates, and a CUDA program is written for simulation calculations. The simulation results show that, compared with the traditional single-CPU-based algorithm, the speed of the algorithm based on the cooperation of CPU and GPU is 24.94 times faster.
Industrial Internet Communication Architecture Based on Embedded IPv6 Fuzzy Control
Authors: Wang Xuanzhong , Zhang Yanan , Ma Xin
Published: February 2024

In order to solve the problems of wrong device address, unreasonable network bandwidth setting and low level of automation control of industrial Internet, a standard verification platform and test system for industrial Internet based on IPv6 fuzzy control are designed. We determine the network architecture of the industrial Internet according to the demand analysis, and complete the design and implementation of the embedded IPv6 protocol stack. We design a fuzzy rule library to describe the relationship between input and output. The corresponding IPv6 communication protocol and mechanism are used to achieve communication between fuzzy control modules and other system components. This module is used to accurately predict the situation awareness within the industrial interconnection network to ensure the security and reliability of communication. A real environment is established to test and analyze the data path, and the correctness and compliance tests of the system are implemented, which provided ideas for the development of IPv6 based industrial Internet network construction and promotion of related applications.
Remote Management Method of IoT Based on ESIM Card
Authors: Zhang Hui , Shi Hui , Zhang Yanan
Published: February 2024

In order to meet the high requirements of existing IoT for security assurance and remote configuration management mechanisms, the key technologies and applications of embedded SIM cards in the IoT field are studied. We focus on the business operation mode and supervision direction under the embedded deployment mode, integrated with the embedded SIM card and the near-field communication function, to analyze different solutions for contract management. Then it focuses on the identity authentication function of embedded SIM card technology, the function of supporting the IoTs and the function of local services, and provides the implementation method of the corresponding functional modules. Finally, by establishing an EAPserver experimental environment, testing the system functions, and simply testing the key service processes, it is proved that the scheme is feasible, new and effective.
Agricultural Financial Supply Chain Model Based on System Dynamics and Mathematical Logic Analysis
Authors: Chen Chan
Published: February 2024

In view of the special needs of the development of agricultural supply chain finance, a scheme based on system dynamics analysis and optimization of agricultural supply chain finance is proposed. By the theory of system dynamics, the agricultural financial supply chain system according to the actual situation are is designed first. Then, based on the main operation modes of agricultural supply chain finance, the causal analysis diagram and the logical equation of system dynamics are provided. By logical reasoning on the supply chain and its members, the potential risks and bottlenecks of various influencing factors are identified. According to the simulation results and the statistical analysis of a large number of curves and related data, the case analysis summarizes the key factors affecting the coordinated operation of agricultural supply financial system, and provides corresponding countermeasures. Therefore, it is proved that all errors of the system dynamics model are within the allowable range, and the accuracy of the model is high, which meets the requirements of empirical analysis.
Power Grid Energy Storage Control Strategy for New Energy Access
Authors: Wang Feng , Guo Maofeng , Li Xiaoqing
Published: February 2024

To minimize the impact of new energy access on operational control of the distribution network, a coordinated control strategy for battery energy storage systems in a distribution network containing new energy is proposed. This plan is based on the regional distribution network model and it studies the configuration strategy of the energy storage system. We focus on introducing the DC microgrid grid connection mode, which dynamically adjusts its droop coefficient based on the SOC of HESS to improve coordination between them, and changes it to the principle and control diagram of PI current control. Finally, a simulation model of a DC microgrid is established in Matlab Simulink, and the results show that the energy shaping control of the proposed BESS energy storage converter can effectively regulate the DC bus voltage and ensure the power balance of the DC microgrid.
A Teaching Evaluation Model Based on SVM Multi Classification
Authors: Pan Chunhui , Hoon Teoh Sain , Hashim Khadijah Said
Published: February 2024

To ensure the quality of online flipped classroom teaching, we try to apply machine learning to the teaching evaluation of universities to find valuable information hidden behind the teaching evaluation data. This paper mainly discusses the SVM multi classification algorithm and establish a multi indicator system for teaching quality evaluation from five aspects. Then, with the idea of the principle of first separating the easiest classes and the idea of relative distance, the binary tree is used to train and improve SVM. The empirical analysis takes the actual teaching situation of a university as an example, provides the implementation process of the algorithm on Spark programming model, and uses the improved method to determine the weight of each evaluation index, thus ensuring the scientific nature of the teaching evaluation.
Neural Network Implementation Based on Particle Swarm Optimization in Teaching Quality Evaluation
Authors: Chen Hongjun
Published: February 2024

Aiming at the defects of traditional teaching quality evaluation system, this paper proposes a neural network trained by particle swarm optimization algorithm for the comprehensive evaluation of college teachers’ teaching quality. We establish the main index system that affects the teaching quality as the main setting parameters of the system. On this basis, the given index value is used as input, and the estimated score is used as output. Then, PSO is used to optimize the initial weight and threshold of BP neural network to solve the defect that it is easy to fall into local optimum. Finally, through simulation analysis and combined with the teaching case of an efficient ideological and political teacher, the complex relationship between multiple indicators that affect their teaching quality evaluation and the evaluation results was fitted, making the model have good recognition accuracy. The experimental results show that the scheme overcomes the subjective factors of the evaluation subject in the evaluation process, and it can better solve the dynamic problem of given usual scores in the teaching process.
Piano Teaching Action Recognition Based on LSTM
Authors: Sha Rula , Tan Bernard
Published: February 2024

In this paper, a gesture recognition method based on Leap motion and LSTM is proposed to fully describe the establishment of finger touch motion adaptive curve during the process of piano playing teaching. The Leap motion sensor is used as the hardware platform to collect the finger touch action parameter values and establish gesture feature data. Then the dynamic gesture recognition is performed by integrating the Long Short-Term Memory networks, and the extracted single gesture action is further divided into frames. The optimal feature set and parameters are selected through experiments for further classification and recognition. The experimental results show that the multi feature recognition method based on LSTM can improve the recognition rate of similar gestures and the restoration accuracy is high, which can meet the requirements of action practice in piano playing teaching.
Analysis on the Competence Characteristics of Counselors Based on AHP Neural Network
Authors: Wu Lisha
Published: February 2024

In order to solve the problems of unscientific evaluation process and untimely feedback of evaluation results in the performance evaluation system of college counselors, a competency analysis model based on AHP and neural network is proposed. Based on the analysis and research of relevant knowledge and needs, we established the competency characteristics evaluation system of counselors through factor analysis and expert survey, and quantified the assessment factors of qualitative analysis by mathematical methods. Then, through AHP, the effective weight of each index is determined, and the output results are used as samples to be trained and tested in BP neural network, and the final evaluation score of the counselor’s ability is obtained. The empirical analysis shows that the scheme has high precision of matching model and training speed, which provides a new model for the competency evaluation of college counselors.