personal computer
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2022 ◽  
pp. 1439-1451
Author(s):  
Firka Wafiq Nurul Haq ◽  
Ikhram Hardi ◽  
Mansur Sididi ◽  
Nur Ulmy Mahmud ◽  
Chaeruddin Hasan

Keluhan sistem musculoskeletal atau diistilahkan dengan keluhan musculoskeletal disorders (MSDs) adalah masalah ergonomi yang sering dijumpai ditempat kerja. Seperti pada pekerja yang menerima beban statis secara berulang dalam waktu yang lama dapat menyebabkan suatu keluhan pada bagian otot-otot skeletal, keluhan sangat ringan sampai dengan keluhan berat. Penelitian ini bertujuan mengetahui faktor yang berhubungan dengan keluhan MSDs pada Pegawai yang menggunkan Personal computer di PT PLN ULP Panakukkang Makassar Selatan Tahun 2021. Penelitian ini merupakan jenis penelitian observasional dengan rancangan Cross Sectional Study. Jumlah populasi 44 orang dengan metode menggunakan total sampling dan pengumpulan data dilakukan dengan menggunakan kuesioner Nordic Body Map (NBM). Data analisis menggunakan uji statistik Chi- Square pada tingkat kepercayaannya 95% (α=0,05). Hasil Penelitian diperoleh bahwa dari lima variabel diteliti terdapat tiga variabel yang tidak berhubungan Musculoskeletal Disorders (MSDs) yaitu umur (p=0,457), IMT (p=0,413) dan masa kerja (p=0,859), postur kerja (p=0,084). Sedangkan variabel lama kerja (p=0,020) memiliki hubungan dengan keluhan musculoskeletal disorders pada Pegawai yang menggunakan Personal Komputer di PT PLN ULP Panakukkang Makassar Selatan. Untuk mencegah terjadinya Musculoskeletal Disorders (MSDs), agar memberikan training mengenai ergonomik untuk memperhatikan posisi kerja yang ergonomis ketika sedang melakukan pekerjaan.


2022 ◽  
Author(s):  
THEODORE MODIS

A learning-curve approach has been employed to study inventiveness in the computer industry. The appearance of new models as well as the appearance of new computer manufacturers have been following typical logistic S-curves over the last 26 years of computer history. Innovation seems to come in S-waves, and even though many of today's major manufacturers are close to exhausting their maximum innovation potential in their present S-wave, the overall computer market is rather “young”. In contrast, the personal computer market is already beyond its maturity phase. Remarkably invariant over the 26 years considered, and through the complete range of computer sizes, remains the fact that for every five new computer models appearing on the market, there is one new computer company emerging also.


2022 ◽  
Vol 16 (1) ◽  
pp. 0-0

The purpose of this study is to provide insight as to how infrastructure countermeasures awareness training will impact individuals dealing with a nationwide catastrophic cyber-attack. Can this awareness training lessen the psychological effect of an attack? This study showed no value for this type of training. Reading about such an attack, the subjects had lower technical optimism and cyber self-efficacy. Reading about infrastructure countermeasures, before or after reading about a cyber-attack, did not improve or maintain the subjects’ optimism and self-efficacy. A possible explanation is that emotional arousal may override or block rational thinking. Another explanation may be that a nationwide attack is towards the infrastructure and not the personal computer. Here the individual lacks any control. Future research needs to look at personal preparation and response training to see if it will help the psychological effects of a catastrophic cyber-attack.


2021 ◽  
Vol 4 (2) ◽  
pp. 70-73
Author(s):  
Ahmad Rossydi ◽  
Andi Yuyun Irmayanti ◽  
Sugiyanto

Windsock adalah sebagai penanda angin dan relatif kecepatan angin. Alat ini sangat berfungsi di dunia penerbangan. Setiap bandara wajib memiliki windsock sebagai penunjang penentu arah angin. Alat ini dipasang di suatu bandara udara yang dapat dilihat dengan jelas oleh petugas lalu lintas udara (ATC). Tetapi di bandara A.P.T. Pranoto-Samarinda masih menggunakan sistem manual untuk melihat windsock menggunakan teropong jarak jauh. Pengembangan alat ini dilatar belakangi dikarenakan kurang efektif dan efisiennya saat penggunaan windsock yang sudah tersedia di Bandar Udara A.P.T. Pranoto Samarinda. Maka di sini penulis tertarik untuk mengangkat sebuah judul dalam tugas akhir ini yaitu  “Rancangan Monitoring Wind Direction Indicator berbasis Arduino di Bandar Udara Aji Pangeran Tumenggung  Pranoto Samarinda ”. Hasil akhir yang dicapai dari pengembangan windsock ini adalah dengan tujuan agar tidak mencari arah angin secara manual, dengan dikembangkannya alat ini dapat mencari arah angin secara otomatis. Windsock ini juga dilengkapi dengan wind vane dan wind cone sebagai pengukur arah mata angin dan kecepatan angin disekitar alat tersebut. Perancangan sistem monitoring Wind Direction Indicator berbasis Arduino, diharapkan dapat mendeteksi kecepatan dan arah angin yang mampu memberikan data secara real time. Agar data yang diperoleh dapat tersampaikan kepada masyarakat dengan cepat dan akurat, maka dibutuhkan suatu sistem yang memadai. Sistem yang sekarang ini sedang berkembang pesat yaitu Personal Computer (PC) dan jaringan internet. Perancangan alat Wind Direction Indicator ini terdiri dari hardware yang berupa Arduino, sensor arah dan sensor kecepatan angin. Alat Wind Direction Indicator dapat membantu memudahkan ATC dalam memantau arah dan kecepatan angin yang sangat penting bagi penerbangan, dimana sebelumnya proses ini menggunakan teropong untuk memantau arah angin. Proses pemantauan arah angin menjadi lebih mudah dengan menggunakan alat ini, karena hasil pembacaan arah dan kecepatan angin akan langsung muncul pada monitor.


2021 ◽  
Vol 7 (2) ◽  
pp. 120-126
Author(s):  
Indra Hermawan ◽  
Defiana Arnaldy ◽  
Maria Agustin ◽  
M. Farishanif Widyono ◽  
David Nathanael ◽  
...  

Baru-baru ini, metode pembelajaran mendalam dengan Convolution Neural Network (CNN) telah banyak digunakan untuk tugas klasifikasi gambar. CNN memiliki keunggulan yang tak tertandingi dalam mengekstraksi fitur gambar diskriminatif. Namun, banyak metode berbasis CNN yang ada dirancang untuk lebih dalam dan lebih besar dengan lapisan yang lebih kompleks. Sehingga membuatnya sulit untuk diterapkan pada perangkat seluler atau pada perangkat waktu nyata yang menggunakan mikrokontroler seperti raspberry pi, Arduino, dan lain sebagainya. Hal tersebut diatasi dengan menggunakan Light Convolution Neural Network (LCNN), maka perlu dilakukan percobaan untuk menguji seberapa besar perbedaan kinerja LCNN pada Personal Computer (PC) dan pada mikrokontroler raspberry pi 4 dengan sistem operasi Raspbian. Eksperimen dilakukan dengan menggunakan beberapa parameter kinerja yaitu accuracy, F-1 Score, recall, precision, dan waktu dari pengujian klasifikasi untuk mendapatkan hasil performa dari pembelajaran mendalam. Oleh karena itu, hasil dan arsitektur model akan mengkonfirmasi perbedaan kinerja di masing-masing perangkat dan menunjukkan bagaimana performa model pada perangkat yang dibatasi sumber daya atau berjalan secara waktu nyata. Pengujian menunjukkan bahwa kinerja pada raspberry pi yang merupakan alat dengan sumber daya terbatas tidak mempengaruhi kualitas pengenalan gambar, tetapi mempengaruhi waktu pemrosesan pengenalan, dikarenakan raspberry pi membutuhkan waktu proses yang lebih lama untuk melakukan satu proses pengenalan data atau foto. Hal tersebut akan mengakumulasi waktu yang dibutuhkan untuk pemrosesan data yang banyak, sehingga dapat disimpulkan bahwa raspberry pi dan alat dengan sumber daya terbatas sangat tidak efektif untuk melakukan pelatihan pengenalan dan melakukan proses pengenalan yang berisi banyak data atau foto dalam sekali prosesnya.


2021 ◽  
Vol 3 (1) ◽  
pp. 106-113
Author(s):  
V Chyhin ◽  

The possibility of creating a computer control system for an unmanned aerial vehicle using remote cloud computing according to predefined scenarios from the user's desktop is investigated. For this, an experimental setup was created, which includes a quadcopter, a personal computer with the Windows operating system, an on-board computer Raspberry-3 with the Linux operating system, a Pi Camera V2 camcorder, and a Pixhawk autopilot. To model the control and transmission of video images the own control programs and photo pursuit on a computer Raspberry-3 in Python are recorded. Based on the obtained results, a model of unmanned aerial vehicle control from the desktop of the user's personal computer via the on-board computer without the use of a standard control panel and operator is proposed.


2021 ◽  
Vol 25 (4) ◽  
pp. 623-627
Author(s):  
V. E. Abdullaiev ◽  
A. M. Hryhorenko

Annotation. Hyperplastic processes of the endometrium can be triggered by a chronic inflammatory process. In addition, the importance of the presence of a long hyperproliferative process in the endometrium to accelerate genome modification with significant negative consequences of the development of oncogynecological pathology has been proved. The above risks require the development of clear diagnostic criteria for endometrial hyperplastic processes at the stage of non-invasive instrumental diagnosis. The aim of the study was to establish the features of the impact of chronic endometritis on the risk of neoplastic endometrial processes. A study of 161 women aged 18 to 53 years. Of these, 58 women had a verified diagnosis of endometrial hyperplastic process, and 71 women had endometrial hyperplasia due to chronic endometritis. The control group consisted of 32 women without signs of hyperplastic processes and chronic endometritis. Statistical data processing was performed on a personal computer using Microsoft Excel spreadsheets and the application package Statistica for Windows v.7.0, StatSoft Inc. (USA). All obtained quantitative data were processed by the method of variation statistics. A significant increase in uterine size was found in patients with endometrial hyperplastic processes, an increase in M-echo in patients with a combination of chronic endometritis and endometrial hyperplasia. The control group consisted of 32 somatically healthy women. Statistical data processing was performed on a personal computer using Microsoft Excel spreadsheets and the application package Statistica for Windows v.7.0, StatSoft Inc. (USA). All obtained quantitative data were processed by the method of variation statistics. A significant increase in uterine size was found in patients with endometrial hyperplastic processes, an increase in M-echo in patients with a combination of chronic endometritis and endometrial hyperplasia. The basal artery resistance index was found to be lower in the group of women with chronic endometritis. Similar indicators are established for the values of the pulsation index of the basal arteries of the uterus and the state of the spiral arteries. Thus, the method of ultrasound diagnosis of internal female genitals is a highly sensitive and specific method for the diagnosis of hyperproliferative processes of the endometrium, but has limited informativeness for the diagnosis of chronic endometritis. The combination of ultrasound diagnostics with dopplerometry of uterine vessels and endometrium (with the development of appropriate diagnostic criteria) allows to suspect chronic endometritis at the stage of pre-diagnostic hysteroscopy and subsequent pathomorphological and immunohistochemical examination.


2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Mohammad Alsaffar ◽  
Abdullah Alshammari ◽  
Gharbi Alshammari ◽  
Tariq S Almurayziq ◽  
Saud Aljaloud ◽  
...  

This paper describes the construction of an electronic system that can recognise twelve manual motions made by an interlocutor with one of their hands in a situation with regulated lighting and background in real time. Hand rotations, translations, and scale changes in the camera plane are all supported by the implemented system. The system requires an Analog Devices ADSP BF-533 Ez-Kit Lite evaluation card. As a last stage in the development process, displaying a letter associated with a recognized gesture is advised. However, a visual representation of the suggested algorithm may be found in the visual toolbox of a personal computer. Individuals who are deaf or hard of hearing will communicate with the general population thanks to new technology that connects them to computers. This technology is being used to create new applications.


2021 ◽  
Author(s):  
Hidetoshi Ikeda ◽  
Shinya Atoji ◽  
Manami Amemiya ◽  
Shingo Tajima ◽  
Takayoshi Kitada ◽  
...  

Abstract This paper describes mobile robot tactics for recovering a wheeled vehicle that has overturned. If such a vehicle were to tip over backward off its wheels and become unable to recover itself, especially in areas where it would be difficult for humans to enter and work, total working efficiency could decline significantly, not only because the vehicle is no only able to perform its job, but because it becomes an obstacle to other work. Herein, we propose a robot-based recovery method that can be used to recover such overturned vehicles and demonstrates its utility. The recovery robot, which uses a mounted manipulator and hand to recover the overturned vehicle, is also equipped with a camera and a personal computer (PC). The ARToolKit software package installed on the robot-mounted PC detects ARmarkers attached to the overturned vehicle and uses the information they provide to orient itself in order to perform recovery operations. To facilitate these ARToolKit-based operations, it is necessary to conduct a theoretical analysis to clarify the distance between the robot manipulator and vehicle, and thus achieve an objective position for grasping the overturned vehicle. The experimental results obtained in this study demonstrate the effectiveness of our proposed system.


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