System In Order Research Articles

Hybrid Approach for Detection and Diagnosis of Short-Circuit Faults in Power Transmission Lines

In this article, the main problem under investigation is the detection and diagnosis of short-circuit faults in power transmission lines. The proposed fault detection (FDD) approach is mainly based on principal component analysis (PCA). The proposed fault diagnosis/identification (FAI) approach is mainly based on sliding-window versions of the discrete Fourier transform (DFT) and discrete Hilbert transform (DHT). The main contributions of this article are (a) a fault detection approach based on principal component analysis in the two-dimensional scores space; and (b) a rule-based fault identification approach based on human expert knowledge, combined with a probabilistic decision system, which detects variations in the amplitudes and frequencies of current and voltage signals, using DFT and DHT, respectively. Simulation results of power transmission lines in Portugal are presented in order to show the robust and high performance of the proposed FDD approach for different signal-to-noise ratios. The proposed FDD approach, implemented in Python, that can be executed online or offline, can be used to evaluate the stress to which circuit breakers (CBs) are subjected, providing information to supervision- and condition-based monitoring systems in order to improve predictive and preventive maintenance strategies, and it can be applied to high-/medium-voltage power transmission lines as well as to low-voltage electronic transmission systems.

Analytical modelling and design of linear controlled dynamic systems

A generalized canonical mathematical model of multidimensional controlled mining transportation complexes and other technical systems in form by A.M. Letov is considered. A principle of symmetry and an algebraic concept are in the basis of the developed analytical methods of design. A principle of symmetry is realized on a set of indexes of roots of a characteristic equation of the system and on a set of indexes of phase coordinates of the mathematical model. The problem of quality of dynamic processes in time is reduced to an algebraic problem of distribution of roots of a corresponding characteristic equation in a complex plane. An analogy in a procedure of transformation of a characteristic determinant into a polynomial and a structure of elementary symmetrical polynomials of roots is established. A new formulation of an analytical representation of change of phase coordinates in time in a form of ordered determinants with respect to indexes of roots and indexes of phase coordinates is obtained based on residue theorem. An illustration of the developed analytical method of design is performed on a special case of a well-known controlled technical system of the fourth order.

Stability analysis of fractional difference equations with delay.

Long-term memory is a feature observed in systems ranging from neural networks to epidemiological models. The memory in such systems is usually modeled by the time delay. Furthermore, the nonlocal operators, such as the "fractional order difference," can also have a long-time memory. Therefore, the fractional difference equations with delay are an appropriate model in a range of systems. Even so, there are not many detailed studies available related to the stability analysis of fractional order systems with delay. In this work, we derive the stability conditions for linear fractional difference equations with an arbitrary delay τ and even for systems with distributed delay. We carry out a detailed stability analysis for the cases of single delay with τ=1 and τ=2. The results are extended to nonlinear maps. The formalism can be easily extended to multiple time delays.

Improving of test utilization through modification of the electronic ordering system for blood zinc level

Improving of test utilization through modification of the electronic ordering system for blood zinc level

Explicit stability condition for delta fractional order systems with [formula omitted]

This paper delves into the stability of time-advance delta fractional order systems, with a specific emphasis on the order range (0,+∞) rather than the conventional range (0,1). The delta Laplace transform is used to investigate the stability of the suggested system, and a mapping relation ρ=ss+1 is introduced. The explicit stability condition is provided, articulated in relation to a specific distribution of eigenvalues of the system matrix. To validate this condition, the paper establishes equivalence between the delta difference and the nabla difference. Furthermore, both quantitative and qualitative analyses are conducted on the range of the unstable region. Finally, the correctness of the developed results is validated by three examples.

Traffic Management System Using IOT

Abstract: Traffic congestion is a major threat to transportation sector in every urban city around the world. This causes many adverse effects like, heavy fuel consumption, increased waiting time, pollution, etc. and causes major challenge to the movement of emergency vehicles. The reaction time required by the emergency responders plays a vital role to handle the situation. The greatest challenge they face is congestion of traffic flow. This paper presents an approach to schedule emergency vehicles in traffic. The approach combines the controlling of traffic congestion by IR sensors and detection of emergency vehicle using by RFID scanner method. The IR sensors is responsible for vehicle counting and RFID for the emergency vehicle. An IR sensors continuously count the passing vehicles & records the delay time between two vehicles. Flow of vehicles is normal means there is smooth traffic flow, or if in case, the passing time between two vehicles is decreased that means traffic congestion is happen ahead. In this situation traffic light turns to green, so that the emergency vehicle will reach its destination as fast as possible. The aim of this article is to identify and monitor the congestion system in order to provide efficient facilities. This journal also sets out a method that uses 433 MHZ RF Transmitter and receiver Wireless communication device technique and Internet of Things (IoT) to transmit the treatment request from the ambulance to the nearby hospitals and at the same time the LCD is installed on the road junction which displays the nearby hospital name and contact number for the ambulance, this smart traffic system which in turn changes the traffic signal cycle. This system can be implemented throughout the city thereby to reducing the delay.

Development of Indian summer monsoon precipitation biases in two seasonal forecasting systems and their response to large-scale drivers

Abstract. The Met Office Global Coupled Model (GC) and the National Centers for Environmental Prediction (NCEP) Climate Forecast System (CFSv2) are both widely used for predicting and simulating the Indian summer monsoon (ISM), and previous studies have demonstrated similarities in the biases in both systems at a range of timescales from weather forecasting to climate simulation. In this study, ISM biases are studied in seasonal forecasting setups of the two systems in order to provide insight into how they develop across timescales. Similarities are found in the development of the biases between the two systems, with an initial reduction in precipitation followed by a recovery associated with an increasingly cyclonic wind field to the north-east of India. However, this occurs on longer timescales in CFSv2, with a much stronger recovery followed by a second reduction associated with sea surface temperature (SST) biases so that the bias at longer lead times is of a similar magnitude to that in GC. In GC, the precipitation bias is almost fully developed within a lead time of just 8 d, suggesting that carrying out simulations with short time integrations may be sufficient for obtaining substantial insight into the biases in much longer simulations. The relationship between the precipitation and SST biases in GC seems to be more complex than in CFSv2 and differs between the early part of the monsoon season and the later part of the monsoon season. The relationship of the bias with large-scale drivers is also investigated, using the boreal summer intraseasonal oscillation (BSISO) index as a measure of whether the large-scale dynamics favour increasing, active, decreasing or break monsoon conditions. Both models simulate decreasing conditions the best and increasing conditions the worst, in agreement with previous studies and extending these previous results to include CFSv2 and multiple BSISO cycles.

MODELS OF THE SYSTEM OF COLLECTIVE SELF-ORGANISATION OF UNMANNED AERIAL VEHICLES USING ARTIFICIAL INTELLIGENCE

The article examines the current state and trends in the development of unmanned aerial vehicles (hereinafter - UAVs), methods and means of their control, self-organisation, flight routing, as well as the involvement of artificial intelligence technologies in the UAV teams system. The main trends in the use of UAVs in the defence sector are analysed. The key problems in this area are highlighted, as well as the shortcomings of existing methods and systems. The article analyses scientific works of domestic and foreign scholars, studies problematic issues and suggests ways of their solution. The introduction of artificial intelligence into the UAV control system has significant potential and makes the development of these technologies urgent. The development of UAV collective control systems, including those using artificial intelligence, allows for the effective use of technology in various fields, ensuring increased coordination, functionality and overall efficiency. At the same time, despite active research in this area, a number of problems related to the development of methods and algorithms for group work still remain unresolved. The issue of integrating information technologies created on their basis and the specifics of their implementation in collective intelligence systems in order to increase the efficiency of solving complex formalised tasks is not sufficiently studied. A method of self-organisation of the UAV team with decentralised control is proposed, in which a number of functions (route planning, distribution of roles, determination of optimal actions, obtaining and processing information) assigned to the onboard control system of the robotic air complex can be performed by each element of the UAV team system due to their self-organisation. The practicality of this method lies in the fact that the UAV's artificial intelligence will constantly self-learn and improve, and if necessary, can be reprogrammed to meet the required conditions of the task. As a consequence, the results and time required to complete missions will improve significantly, while the number of control operators will decrease. It solves a number of problems and shortcomings related to the organisation of the management system, route planning, distribution of roles, speed and completeness of receiving, processing and transmitting information, which in turn improves the security and performance of the system.

IOT Based Monitoring Model to Identify and Classify the Grading of Fruits and Vegetables

Thirty to forty percent of the fruits and vegetables harvested are discarded at this time due to the large number of employees with no training. A growing problem throughout reaping is fruit and vegetable waste because human judgment is subjective when it comes to crop recognition, categorization, and assessment. The fruit and vegetable business is in serious require of the launch and deployment of a robotic system in order to classify and grade fruits and vegetables based on their level of ripeness. Machine learning techniques can produce a sophisticated machine learning framework that can differentiate among fruits and vegetables based upon their category, variation, development, and preservation using relevant and suitable computational imaging ideas. We analyzed, contrasted, and proposed an Internet of Things-based monitoring approach in this work for identifying, classifying, and grading fruits and vegetables.

Load Distribution and Time Table Generation Software

Abstract: In institutions with a lot of students, the manual timetable preparation method takes a long time and frequently results in different classes conflicting in the same room or with the same teachers teaching multiple sessions at once. This are just the result of frequent human error, which is exceedingly challenging to avoid in procedures like this. People typically adapt the previous year's schedule to get around these issues, but it is still labour-intensive to implement such changes. Our suggestion is to create an automated system in order to solve all of these issues. The system will receive multiple inputs, such as student, subject, class room, and teacher details; based on these inputs, it will produce a potential time.

The Management of Food Delivery Systems in the Nutrition Installation at the Hospital

One of the important roles of nutrition services is to improve the nutritional status of patients in hospitals so that it is hoped that this can speed up the healing process and shorten the length of stay. The aim of this research is to determine the food management system in order to fulfill patient nutrition at Malahayati Islamic Hospital. This research uses descriptive qualitative research. Data collection techniques by means of observation, interviews using recording and use of documents. Next, the data collected is analyzed. The informants for this research were 4 informants including the head of the Nutrition Installation, staff/nutrition experts and food processing officers and waiters. The sampling technique was carried out using Purposive Sampling. The research results show that the food procurement system starting from ordering and purchasing, receiving, storing and distributing food ingredients is in accordance with PGRS. And food processing starts from menu variations using a 7-day menu cycle, but food presentation and distribution needs to be monitored and evaluated in the use of PPE for waiters. Food procurement system, food processing, food distribution in accordance with PMK No. 78 concerning PGRS and food delivery system management.

DESIGN AND DEVELOPMENT OF AN ANDROID-BASED FERTILIZER ORDERING APPLICATION IN THE BANGKALA REGION

In the Bangkala Region of Jeneponto Regency, farmers continue to depend on the conventional system for the fertilizer ordering process. This system results in inefficiencies and consumes the time of both sellers and buyers. We require an Android-based fertilizer ordering system that integrates directly with the server. The objective of this study is to develop an Android-based application for ordering fertilizer in the Bangkala region. This application was developed using the Research and Development (R&D) methodology and the waterfall development model. The results of this research have yielded a product in the form of an Android-based fertilizer ordering application, which will be utilized by farmers in the Bangkala Region, Jeneponto Regency. The system was tested using the ISO 25010 standard across four aspects: functional suitability, portability, usability, and performance efficiency. Functional suitability testing indicates that this application is "suitable" for use. Portability testing revealed that this fertilizer ordering application system runs well on several versions of Android. The usability testing results of the application have been categorized as "Very Good". Furthermore, performance efficiency testing shows that the CPU usage is at 4%, memory usage at 156.4 Mb, and the application network activity is at 80 Kb/s. Based on this data, the application has been well-received by users and can serve as a streamlined platform for ordering fertilizers for farmers.

Implementasi Sistem Penjualan Pada Berbasis Aplikasi

Businesses today benefit greatly from information technology, especially in creating computer-based applications, websites, and sales information systems. This technology allows for quick and easy sales data management and buy-sell transactions. This system can process sales transaction data efficiently, which allows precise and fast information reports to be generated. By creating an application, Warkuy Cafe, located in Bekasi City, overcomes the problem of manual sales data recap. This system aims to increase the convenience, attractiveness, and efficiency of online services and ordering. These applications include information about sales transactions, delivery messages, booking order systems, and e-wallet payments. Software such as Learning Management System (LMS) and Content Management System (CMS), which help users and administrators edit data, created the applications. This innovation enhances Warkuy Cafe's operations and improves customers' shopping experience.

QR Based Food Ordering System including Sentimental Analysis

Abstract: Ordering food directly has never been easier for the customers. This all-in-one QR Menu solution is for simplifying the food ordering process for customers and streamlining operations for businesses in the food service industry. The system offers the capability to upgrade for online food delivery through various digital channels, including websites and social media platforms, with a backend CRM facilitating the management of special customer requests. The primary target is quick-service restaurants, kiosks, takeout establishments, and food delivery services and the platform eliminates the need for customers to download additional mobile applications. By easily integrating with any POS system and supporting credit card payments, it provides a proper solution for online ordering and payment processing. Also, this platform combines sentiment analysis to understand customer preferences and easily make personalized menu suggestions and ranking of food items. This feature helps in enhancing the overall customer experience by offering specific recommendations based on individual tastes and preferences. Also, the system has user-friendly management tools for QR code generation and customization, ensuring compatibility with a wide range of QR code readers and scanning devices. The in-built QR code generator provides unique QR codes. As a cloudbased solution, it offers scalability and easy management of online menus, and allows businesses to list their offerings on various marketplaces. This system has unique capabilities in providing a seamless and integrated solution for online food ordering, payment processing, and customer engagement in the food service industry.

Machine learning algorithms for the prediction of drought conditions in the Wami River sub-catchment, Tanzania

Study regionThis study refers to the Wami river sub-catchments in Eastern Tanzania. Study FocusThe five-machine learning (ML) algorithms, including long short-term memory (LSTM), multivariate adaptive regression spline (MARS), support vector machine (SVM), extreme learning machine (ELM), and M5 Tree, were used to predict the most widely used drought index, the standard precipitation index (SPI), at six and nine months. Algorithms were established using monthly rainfall data for the period from 1990 to 2022 at five meteorological stations distributed across the Wami River sub-catchment: Barega, Dakawa, Dodoma, Kongwa, and Mandera stations. New hydrological insights for the region. The predicted results of all five ML algorithms were evaluated using several statistical metrics, including Pearson’s correlation coefficient (R), mean absolute error (MAE), root mean square error (RMSE), and Nash Sutcliffe efficiency (NSE). The prediction results revealed that LSTM perform better in predicting drought conditions using SPI6 (6-month SPI) and SPI9 (9-month SPI) with the highest NSE of 0.99 in all five stations, and R of 0.99 in four stations except at Kongwa station, where R range from 0.75 to 0.99. These prediction results will aid decision-makers and planners to develop a drought monitoring and drought early warning system in order to strengthen the governance and resilience to the catchment and people on the impacts of water scarcity and climate change.

Critical Factors to Consider When Designing an Innovation Management System

Overview: Organizations can implement an innovation management system in order to address the multidimensional challenges they often have in their practical innovation work. Until the ISO 56002 standard was released in 2019, there was no international standard for the design of innovation management systems. The standard provides support as a framework and highlights important systems elements. We studied two early adopters that have used this international standard to design their innovation management systems. Based on the study findings, we devised a practical approach for framing the design of an innovation management system. The approach includes a set of steps and critical considerations that include understanding a company’s innovation ambitions and direction, analyzing the systemic dimensions of the system (the elements and how they interconnect), and introducing a balanced set of control mechanisms.

Implementation of Technological Upgradation in Public Distribution System in India for Ensuring Availability, Accessibility and Affordability

The largest initiative to reduce poverty in India is the public distribution system (PDS), which uses a network of fair-pricing shops to supply highly subsidised food grains in order to fulfil necessities of households living below poverty line. PDS's primary objective is to buy food grains from farmers. This is to ensure that grain is distributed, stored, and transported so that people in need have access to food. The Indian government has thus upgraded the PDS's technology in an attempt to increase its transparency. To close this gap between technology and citizen benefits, e-government makes use of technical intermediaries like ration Integrated Weight Management System (IWMS), Management Information System (MIS), Inventory management system, etc. The focus of the government is to enact a number of administrative and technological changes under the centralised online real-time electronic public distribution system in order to empower end users of the PDS supply. In this context this paper deals with the number of difficulties when distribution system switches from manual to automated transactions, dealer of fair price shop, who employs the technologies. Based on secondary literature, the objective of this paper is to understand the challenges associated with implementing technology at the point of sale during distribution, as well as study the status of the implementation technological based distribution system. Int. J. Soc. Sc. Manage. Vol. 11, Issue-(1-2): 1-6.

Analysis and Research on Library Management Technology Based on the Integration of Virtual Reality and Management

The library's commitment to being on the forefront of technology, it is able to provide sophisticated services to both its customers and the terminal. Due to the fact that they have access to a greater volume of information, they are in a better position than clients of the centralized digital reading room. In order for learning to be able to satisfy the varied data needs of its constituents, it is required for it to be able to supply knowledge services and carry out its duty of convergence. This is something that can only be done through effective value management that is based on innovative applications of technical solutions. Some of the problems that afflict digital libraries include a lack of forethought and organization, bad software, import constraints on technology, a dearth of experienced staff, a scarcity of standards, and an inability to collaborate with one another. This research proposes employing Eye Movement Technology (EMT) as an automated library administration system in order to assist smart libraries (SLs) in lowering their costs and increasing their output by taking advantage of the opportunities presented by virtual reality. In particular, the purpose of this study is to pave the way for SLs to be able to achieve this aim. Electronic medical technology (EMT) that may be worn on the body is part of the expanding subject of wearable computing, which is a subfield of computer technology. The positions of the eyes' focus sources, visual fields, and gaze vectors are examples of the information that is received from the eyes. The librarians are responsible for monitoring the vast majority of actions that take place inside the library, and this system keeps track of every book that is borrowed from and returned to the collection. As a direct consequence of the recent developments made by EMT-SL, an expanded number of users will soon be able to take advantage of the resources made available by the intelligent library. Users of both conventional virtual reality and augmented reality have the capacity to interact with computer-generated picture models, and both traditional virtual reality and augmented reality have the potential to make individuals visible in a wide range of different environments.

Undergraduate Students' Intention to Start their Own Business in Nigeria: the Importance of Family-Support, Innovativeness and Alertness

Entrepreneurship is one of the effective solutions to address a range of social and economic issues. Therefore, the Nigerian government decided to integrate entrepreneurial subjects in tertiary institutions to promote entrepreneurship and strengthen students' entrepreneurial prowess and intentions. Entrepreneurial development requires an understanding of the factors that are intrinsic to the entrepreneurial process. The current study examines the relationship between university students' entrepreneurial intention, family-support and innovativeness alertness. Survey design was used and convenience sampling was employed in obtaining a sample of seven hundred (700) respondents across selected federal universities in southeast geopolitical zone of Nigeria. The results demonstrated a favorable correlation between students’ entrepreneurial intention and innovativeness, entrepreneurial alertness, and family-support. Furthermore, among undergraduate students, family-support mitigated the association between entrepreneurial awareness and entrepreneurial ambition, but it had no effect on innovativeness. Our research indicates that when trying to encourage college students to take entrepreneurial actions through policies or educational programs, educators and policymakers should take into account the influence of exogenous factors such as family-support. They should also reconsider the current models of entrepreneurial education that are widely used in our educational system in order to integrate inclusiveness of both exogenous and endogenous factors influencing entrepreneurship.

Period-doubling cascade route to chaos in an initially curved microbeam resonator exposed to fringing-field electrostatic actuation

This paper explores the chaotic dynamics of a piezoelectrically laminated initially curved microbeam resonator subjected to fringing-field electrostatic actuation, for the first time. The resonator is fully clamped at both ends and is coated with two piezoelectric layers, encompassing both the top and bottom surfaces. The nonlinear motion equation which is obtained by considering the nonlinear fringing-field electrostatic force, includes geometric nonlinearities due to the mid-plane stretching and initial curvature. The motion equation is discretized using Galerkin method and the reduced order system is numerically integrated over the time for the time response. The variation of the first three natural frequencies with respect to the applied electrostatic voltage is determined and the frequency response curve is obtained using the combination of shooting and continuation methods. The bifurcation points have been examined and their types have been clarified based on the loci of the Floquet exponents on the complex plane. The period-doubled branches of the frequency response curves originating from the period doubling (PD) bifurcation points are stablished. It's demonstrated that the succession PD cascades leads to chaotic behavior. The chaotic behavior is identified qualitatively by constructing the corresponding Poincaré section and analyzing the response's associated frequency components. The bifurcation diagram is obtained for a wide range of excitation frequency and thus the exact range in which chaotic behavior occurs for the system is determined. The chaotic response of the system is regularized and controlled by applying an appropriate piezoelectric voltage which shifts the frequency response curve along the frequency axis.