Klasifikasi Penyakit Padi berdasarkan Citra Daun Menggunakan Model Terlatih Resnet101

Rice is a staple food source for most countries in the world, including Indonesia. The problem of rice disease is a problem that is quite crucial and is experienced by many farmers. Approximately 200,000 - 300,000 tons per year the amount of rice attacked by pests in Indonesia. Considerable losses are caused by late-diagnosed rice plant diseases that reach a severe stage and cause crop failure. The limited number of Agricultural Extension Officers (PPL) and the Lack of information about disease and proper treatment are some of the causes of delays in handling rice diseases. Therefore, with the development of information technology and computers, it is possible to identify diseases by utilizing Artificial Intelligence, one of which is by using recognition methods based on image processing and pattern recognition technology. The purpose of this research is to create a Machine Learning model by applying the model architecture from Resnet101 combined with the model architecture from the author. The model proposed in this study produces an accuracy of 98.68%.

Compensation for Delays and Losses of Packages in Dynamic Online Games

A couple of decades ago, data rates on the network were measured in kilobytes per second, and even then, online game developers had some problems with the packet loss and transmission delays. Now the transfer rate is hundreds of times higher, and the problem of delay compensation is even more relevant.For many dynamic online games, a transmission delay of as little as 20 ms can be quite noticeable, negatively affecting the gameplay and emotions of the game, which can repel players.The problem is exacerbated by the fact that along with the need to compensate for the time of delivery of packets, on the client side there are other non-network factors that are beyond the control of developers, which make the total delay 5-10 ms longer. Because of this, the desire to get rid of network delays as much and as well as possible becomes a necessity, and developers are forced to look for optimal ways to solve this problem.The problem statement is as follows: to review the causes of delays in online games and possible solu- tions, as well as the advantages and disadvantages of certain approaches. The problem is considered at the 4 levels of the TCP / IP network model, as well as at the application level. The approaches are given for the most commonly used protocols for each layer, but basic ideas can be easily transferred to other implementations.The main causes of delays under consideration: propagation delay, router queue delay, transmission delay, and processing delays.This article shows the impact of network delays on the online games and the ways to compensate for them, along with the theory of data transmission protocols in the network and the ways to solve the problems that arise in the development of algorithms.Recommendations for solving the compensation problem can be taken into account when designing and launching online shooters, strategies, etc. Thanks to the given receptions it is possible to minimize the general delay on the transfer of packets in a network, thanks to which the game on the client looks as if the player plays in the Single Player mode.

Terlambatnya Proses Pendinginan Muatan Gas Polymer Grade Propylene di Kapal LPG/C Coral Millepora

The LPG Carrier is one of the ships that carries liquid gas cargoes below -48o C. The LPG Carrier has facilities in the form of a reliquefaction plant that uses seawater as a coolant for gas cargo. Therefore, the reliquefaction plant has an important role in the smooth loading and unloading process. If one of the reliquefaction plant particles is damaged, of course the cooling process of the polymer grade propylene gas load will be hampered. The purpose of this study is to describe the problem in the cooling process of polymer grade propylene load. The authors conducted research using a qualitative descriptive method through an interview approach, direct observation of the object of research, and supported by paper-based documents or photos. Based on the results of the study, it was found that the causes of delays in the cooling process of polymer grade propylene gas cargo, namely the influence of weather, sea water content, clogged sea water filters, clogged condenser tubes, and condenser shell tube leaks.

Delays in cancer diagnosis, with a focus on oral cancer during the COVID-19 pandemic - literature review

Introduction: Since the 2019 Coronavirus Disease (COVID-19) was classified as a pandemic infection on March 11, 2020, it has spread rapidly around the world. The total number of confirmed infections was 217,119,281 and the total deaths were 4,510,202 worldwide, as of August 31, 2021. The changes in life caused by these new threats also impacted patient care. Medics around the world have had to adapt to this new reality. There is a lot of research into the impact of the COVID-19 pandemic on the diagnosis and treatment of other diseases, including cancer. The aim of the study: Paying attention to the causes of delays in the diagnosis of cancer during the COVID-19 pandemic, with particular emphasis on oral cancer.Material and method: The research was done using the PubMed and Google Scholar articles about the topics of: covid-19 pandemic; oral cancer; healthcare; cancer diagnosisDescription of the state of knowledge: The COVID-19 pandemic has had a huge impact on the entire health system around the world. According to various studies, there were fewer cancer diagnoses between 2020 and 2021. Studies have identified the causes of these delays, such as: overwork and fatigue of health care workers, limited access to doctors due to quarantine, patients' fear of being infected in a health care facility, and the lack of follow-up visits, including dental visits.Summary:Undoubtedly, the coronavirus (COVID-19) pandemic has put the people with chronic illnesses and those who are immunocompromised at the most risk. Solutions such as telemedicine during lockdown may be helpful in caring for cancer patients, but cannot replace a comprehensive examination by a doctor, especially in the case of oral cancer. As a result of the diagnostic delays caused by the COVID-19 pandemic, a significant increase in the number of cancer deaths worldwide is expected.

An agile standardized work procedure for cleaning the operating room

Purpose: This research aimed to reduce the turnover time (non-operative time) in the operating room (OR) at a US Northwestern hospital. Design/methodology/approach: Data collection consisted of observation and interviews of the aides, circulating nurses, and surgical techs to identify causes of delays and long turnovers. It was determined that the turnover could be divided into two stages: cleaning the room and setting up for the next surgery. The research team met with the staff (aides) to create a standard operating procedure for the cleaning stage. It was decided to create an agile standard procedure that would allow the process to be completed the same way effectively with any number of people ranging from 1 to 3. The flexibility accounts for the number of people who are to complete the procedure and considers that some of them are only available during portions of the cleaning stage due to multiple turnovers or duties.Findings: The agile cleaning procedure reduced the cleaning time by 2.2 minutes (15.7% of the total time) and the standard deviation by 3.30 minutes. A decrease in variability represents more consistent turnovers, creating more predictable times for scheduling surgeries in the future.Originality/value: This research proposes a novel approach to standardized work that quickly adapts to the number of workers available. The agile standardized work procedure (ASWP) allows the process to be completed the same way every time effectively with any number of people.

Study on the factors of delay in construction works

The delay in civil construction works is observed globally and affects the economy of countries. Therefore, identifying the causes of delays is of paramount importance to minimize their consequences. This paper aims at identifying the causes of delay in construction works and their analysis and existing correlations through statistical factor analysis. The research methodology included a Systematic Literature Review (SLR), a Survey Research through questionnaires and interviews was conducted, as well as the identification of the main causes of delay through the Relative Importance Index (RIL) and the ABC Curve. Finally, factor analysis of the causes of delay was performed, not limiting only to their identification. The results showed that the 12 identified causes are correlated to 4 delay factors, which account for 69.18% of the sample variance: supply management (21.41%); workforce management (20,79%); project management (17.64%) and management of climatic conditions (9.34%). It is concluded hereby that the delay factors mentioned herein can be considered management deficiencies in the projects and that the research has expanded the knowledge on construction delays, thus contributing to the frontier of knowledge to mitigate this problem in several countries, especially developing ones.

Identification of Factors to Improve Public Transit Services (A Case Study of Prithvi Chowk to Talchowk Section of Prithivi Highway)

This research presents studies on a segment of highway to determine the quantitative factors that inuence transit services. Travel time and delay study is one of the method to determine quantitative factors. Tour time is described as the average period of time required to journey from one region to some other. Total departure time consists of gadgets which include total working time, places and general delay time. The examine section was done in Prithvi chowk to Tal chowk of Prithvi Highway which is turned to be 12.5 km long. Additionally, it has been found that the principle variables affecting travel time are: postpone time because of forestall selecting and choosing up passengers, bus model and bus size.32 trips public transport carrier and a 10 trips non-public automobile journey have been held during peak hours. Models are developed the use of SPSS software to become aware of the relationship between the causes of delays and the overall-time delays. Travel time and learning delays can help reduce the number of private vehicles operating and increase the number of public vehicles in order to reduce congestion and improve the e efficiency of the public transport system. It turned into determined that there was a full-size distinction in tour time among the use of the public transit services and the car.

Automatic Surgical Instrument Recognition—A Case of Comparison Study between the Faster R-CNN, Mask R-CNN, and Single-Shot Multi-Box Detectors

In various studies, problems with surgical instruments in the operating room are usually one of the major causes of delays and errors. It would be of great help, in surgery, to quickly and automatically identify and keep count of the surgical instruments in the operating room using only video information. In this study, the recognition rate of fourteen surgical instruments is studied using the Faster R-CNN, Mask R-CNN, and Single Shot Multi-Box Detectors, which are three deep learning networks in recent studies that exhibited near real-time object detection and identification performance. In our experimental studies using screen captures of real surgery video clips for training and testing, this study found that that acceptable accuracy and speed tradeoffs can be achieved by the Mask R-CNN classifier, which exhibited an overall average precision of 98.94% for all the instruments.

Årsaker til forsinkelser ved elektive operasjoner

Forsinkelser og strykninger under elektive operasjoner hindrer optimal drift og kan være en påkjenning for pasienter. Målet med studien var å identifisere og beskrive de faktiske årsaker til forsinkelser ved elektive operasjoner, samt omfang, varighet og andre kjennetegn ved slike forsinkelser. Studien har et flermetodisk prospektivt studiedesign. I en periode på to måneder ble alle elektronisk registrerte forsinkelser fulgt opp med strukturerte intervju. I løpet av studieperioden ble halvparten av elektive operasjoner registrert med en eller flere forsinkelser (N = 402). Informantene anga 60 ulike rotårsaker som en forklaring på forsinkelsene. I 72% av alle forsinkelser var årsaken knyttet til organisering/administrering av operasjonsplanleggingen. Forsinkelser ved elektive operasjoner skyldes i stor grad utilstrekkelig planlegging og organisering. Mer presis planlegging, informasjonsutveksling og forbedret dataverktøy kan redusere forsinkelser ved elektive operasjoner. Causes of delays in elective surgery: A prospective study Abstract Delays and cancellations in elective surgery prevent optimal services and can be stressful for patients. This study aimed to identify and describe the actual causes of delays in elective surgery, and the extent, duration and other characteristics of these delays. The study has a multi-method prospective study design. For two months, all electronically recorded delays in a Norwegian hospital were followed up with structured interviews to identify their true causes. Half of the elective surgeries recorded had one or more delays (N = 402). The delays had 60 different root causes; using qualitative content analysis, these were interpreted into 13 subcategories and four main categories, namely patient-related (17%), staff-related (10%), related to surgical ward/equipment (2%) or organizational (71%). Most delays were due to poor planning and organization of surgery. The study indicates that more precise planning, better information exchange and an improved electronic tool can reduce delays in elective surgery.