Main Server Research Articles

A simulation study on the necessity of working breakdown in a state dependent bulk arrival queue with disaster and optional re-service

Sudden increase in service requests immediately after an occurrence of a disaster due to the scarcity of resources creates congestion in service. Effective queue management should ensure that the services are available for every request with an acceptable delay. Unexpected breakdowns causing huge delays were observed many times in real-life scenarios. The working breakdown is introduced in this paper to address this issue in an MX/G/1 disaster queueing system wherein an occurrence of a disaster at the main server is handled immediately by replacing a substitute server with a different or same service rate. State-dependent arrival and optional re-service are also included to make this model more robust. Various performance indices were established using the supplementary variable technique. Numerical illustration and simulation was done for validation and verification respectively. It has been proved that the working breakdown is effective when the arrival rate is tremendously larger immediately after a disaster.

An Efficient HAPS Cross-Layer Design to Mitigate COVID-19 Consequences

This paper proposes a new cross-layer communication system for the provision of Internet services and applications to mitigate the negative impacts of COVID-19, due to which the massive online demands are affecting the current communication systems’ infrastructures and capabilities. The system requirements and model are investigated where it utilizes high-altitude platform (HAP) for fast and efficient connectivity provision to bridge the communication infrastructure gap in the current pandemic. The HAP is linked to the main server or gateway station located on ground and can provide communication narrow beams towards isolated areas which suffer from poor terrestrial radio coverage or lack of communication infrastructure. The vital e-learning applications using Internet services provision from the proposed HAP system are described and modelled including system adaptation parameters such as the application and physical layers to control the data rates of different e-learning applications and the overall cell data rate. On the other hand, the provision of high-speed Internet services from the proposed system is supported by using adaptive antenna arrays onboard HAP which provides high-gain beams to achieve the required high-quality transmission data rates at the student premises and provides the capability of coverage cell area adaptation for load balancing. The concentric circular antenna arrays with tapered feeding are proposed in this adaptive antenna system to control the cell mainlobe gain and reduce the out-of-coverage radiation as well. In addition, the system feasibility has been proved in two coverage scenarios including single-beam and multibeam HAP communications.

Integrated Prescriptive Maintenance System (PREMSYS) for Construction Equipment Based on Productivity

It is now imperative to create smart systems that prevent mechanical damage through timely preventive maintenance, particularly in construction projects with strict time schedules and budgets. Construction equipment is the largest capital investment for construction companies. Proper maintenance is of major importance for efficiency, productivity, minimization of equipment costs, and environmental management. The aim of this study is to propose an integrated smart system that will monitor the condition based on productivity of the equipment and will provide diagnostic data, helping to optimize the production process, achieve timely maintenance and increasing the expected “economic” life of the equipment. At the same time, it will positively provide the concept for sustainable or green construction with the minimization and elimination of harmful effects on the environment and on the human. The system will include sensors, placed on specific construction equipment components, and will collect measurements for their use and condition, through real-time data export. These data will then be sent using wireless networks to a main server. Extraction of performance measurements and machine learning (ML) data processing will determine when the equipment needs predictive maintenance and repair. Proper, timely and prescriptive maintenance of construction equipment will reduce their environmental footprint and any human harmful emissions, while saving energy during their operating phase and optimizing production processes through monitoring “dead” time.

Proposition for LMS Integration for Share, Exchange, and Spread of Online Lectures under Covid-19 Environment

There has been a movement to share and spread online lectures through OCW and MOOC systems. This movement would have been spread widely and adopted widely if those courses could be easily exchangeable with other platforms or services. If this function is available, learning activities, resources, learning outcomes can be accessed between different platforms and services. With this function, the credit exchange between different platforms or services will be easier. It also facilitates course sharing and circulation. Because the LMS is the basic platform for online classes, providing sharable and reusable learning activities, resources, and learning outcomes across the different LMSs is very demanding for online education. Analyzing LMS use in Korean universities, Moodle, Canvas, and domestic LMSs are founded to be the significant three kinds that are widely used in Korea. In this paper, a method of integrating Moodle, Canvas, and domestic LMS services is proposed. A central Moodle server is installed as the main LMS server, and the method to connect or complement with a central Moodle server is proposed for each different kind of LMS. LMS users can easily access a different kind of LMS as a form of imported course, tightly connected service, or log in as SSO. This proposition can be applied to various service fields such as KMOOC, KOCW, credit exchange, lecture exchange between universities, regional unification of online educational centers as a practical problem-solver.

High Efficient Virtual Machine Migration Using Glow Worm Swarm Optimization Method for Cloud Computing

In this paper, high efficient Virtual Machine (VM) migration using GSO algorithm for cloud computing is proposed. This algorithm contains 3 phases: (i) VM selection, (ii) optimum number of VMs selection, (iii) VM placement. In VM selection phase, VMs to be migrated are selected based on their resource utilization and fault probability. In phase-2, optimum number of VMs to be migrated are determined based on the total power consumption. In VM placement phase, Glowworm Swarm Optimization (GSO) is used for finding the target VMs to place the migrated VMs. The fitness function is derived in terms of distance between the main server and the other server, VM capacity and memory size. Then the VMs with best fitness functions are selected as target VMs for placing the migrated VMs. The proposed algorithms are implemented in Cloudsim and performance results show that PEVM-GSO algorithm attains reduced power consumption and response delay with improved CPU utilization.

닐센 아치교 케이블 장력에 대한 관리기준치 설정에 관한 모니터링 연구

This study monitors the Nielsen Arch Bridge using U-Network, both during and after construction. The U-Network monitoring system consists of a sensor part that detects structural behavior, a data logger part that stores and measures signals from the sensor, a communication part that connects each data logger, and a main server for data collection and processing. The installation of the monitoring sensor was performed in compliance with principles that aim to minimize damage towards the target structure and secure long-term durability, as well as maximize the sensor’s maintenance efficiency. Furthermore, the sensor was field-tested after installation to ensure that it is properly installed without any errors. The stability and reliability of the bridge was assessed by a structural analysis using monitoring and finite element analysis.<BR> To adapt and develop the U-Network system as a tool to monitor bridge, the Unique Feature Identifier technology, Geographical Information System 3D technology, and collaboration with local government and organizations shall be needed. A linkage plan to incoporate the technology into management systems of existing facilities is required to be prepared and followed by continuous research investments.

Efficient Gradient Updating Strategies with Adaptive Power Allocation for Federated Learning over Wireless Backhaul.

In this paper, efficient gradient updating strategies are developed for the federated learning when distributed clients are connected to the server via a wireless backhaul link. Specifically, a common convolutional neural network (CNN) module is shared for all the distributed clients and it is trained through the federated learning over wireless backhaul connected to the main server. However, during the training phase, local gradients need to be transferred from multiple clients to the server over wireless backhaul link and can be distorted due to wireless channel fading. To overcome it, an efficient gradient updating method is proposed, in which the gradients are combined such that the effective SNR is maximized at the server. In addition, when the backhaul links for all clients have small channel gain simultaneously, the server may have severely distorted gradient vectors. Accordingly, we also propose a binary gradient updating strategy based on thresholding in which the round associated with all channels having small channel gains is excluded from federated learning. Because each client has limited transmission power, it is effective to allocate more power on the channel slots carrying specific important information, rather than allocating power equally to all channel resources (equivalently, slots). Accordingly, we also propose an adaptive power allocation method, in which each client allocates its transmit power proportionally to the magnitude of the gradient information. This is because, when training a deep learning model, the gradient elements with large values imply the large change of weight to decrease the loss function.

Acoustical design of an evolving post production facility at a creative arts college

A private college began to consider building a screening room and production studio in 2010. The original site was in an existing multi-media exhibit building with the studio located under the main computer server for the campus and next to a mechanical room. After bringing this project very close to fruition, the program projections had already outgrown the project. The college decided to expand the program and build a combined post production and recording facility with three sound stages on an empty piece of land on the edge of the campus. The design evolved in conjunction with the sound designer from New York, production consultant from LA, the architect, the acoustical consultant, the college, a contractor and the rest of the design team. Once the design was nearing completion and the building was being constructed, many changes were initiated by the users to reflect their current ideas. Computer models of the spaces were constructed and the acoustical designs tested for each of the evolving solutions. The evolution of the project continued as equipment was being selected for the room. When the project was almost completed a Dolby Atmos system was purchased for the main screening room so that even after construction was almost complete, additional design changes had to be made and evaluated. Post construction acoustical testing and the critiques of the users have all been exceptionally positive given the long and winding road that the project took to completion.

IoT Based Waste Management System

Waste not just nowadays, but since centuries is one of the biggest problems of the world. Many governments and people came and went, many revolutionists, scientists, philanthropists, etc. too tried work on this aspect of life, but 100% output was not witnessed in any case. As time passes by, population around the world increased, hence resulting in large number of waste. Slowly and gradually this number grew so high that ultimately for many, it became problem to manage such enormous amounts, resulting in disastrous outcomes. With the help of modern technology, here in this paper we tried to solve this issue. To at least begin all on our own, we started it with implementing this system in our university, as we know that well begin is half done, soon it started to produce pretty good outputs and issue of mismanagement of waste, at least in our University, was resolved to pretty much extent. This paper focuses on how a self-designed array of Ultrasonic sensors can be used to get best possible results of dustbin’s status based on amount of waste in it. Further how fast will system be synchronizing and giving its current status in a span of few minutes to main server. Further locations of dustbins will also be prescribed in system hence enhancing real-time output effects of surrounding as well, helping in better outputs and analyses.

Smart Shopping with Automated Billing System Using Zigbee and RFID

In the future, smart commerce will serve as a platform for smart cities. This method is fully automated, and billing may be completed without the assistance of a cashier. It is a mobile gadget that will be installed in the PICk and Drop basket (trolley) at department shops. Billing can be done via a swipe machine or by using their smart phones to access online banking. Instead of a bar code reader, we utilise RFID. Each item will be assigned an ID number, allowing for easy billing. In addition, the product update will be transmitted to the server. As a result, if any of the products becomes null, an alert will be sent to the main server or the master PC administrator. The bill will be sent to the customer's cellphone number through GSM. ZIGBEE is used to communicate from the trolley to the main server. We employ a PIC microcontroller in our suggested system, which is cost and performance efficient. The ultimate goal of this article is to automate billing and move India closer to being a Digital India. Time may be saved for the client, and manpower can be decreased.

Analysis of the Actual One-Month Usage of Portable Listening Devices in College Students.

Although contemporary researchers are concerned about overexposure of portable listening devices (PLD) for adolescents and young adults who often prefer listening to music at high levels for a long time, many of these studies have focused on either comparing sound pressure levels of various kinds of earphones or evaluating the recognition of noise-included hearing loss and listening habits through surveys. Further still, current criteria were developed for occupational noise-induced hearing loss, so there are only a few published guidelines for hearing insults due to recreational noise exposure. The present study, therefore, measures actual listening levels and PLD time in college students using a real-time measurement system and applying that gathered scientific data to the internationally recommended noise exposure standards. Thirty-four college students were asked to listen to music similar to their daily lifestyles for 4-weeks. After installing the application, the Google account that linked to the user’s mobile phone was logged into the server communication. When a subject listened to music, the average and maximum listening levels and listening time could then be recognized as his or her Google account ID and stored in the database for analysis. User data was measured at 1-s intervals and delivered to the main server system every 5 s. The data were analyzed as LZeq for mean levels and LCpeak for maximum levels, and also for PLD use time. The mean of the preferred listening level was 68–70 dB SPL for 4 weeks with long enough break times. That is, the listening levels of college students were not high enough to induce instant hearing loss when they used PLD. However, there was a large individual difference in the listening levels and use times. When applied to three recommended noise exposure criteria, the number of exceeded subjects also differed from 0 to 56.72% depending on the criterion. We thus suggest that appropriate and standardized criteria for music-induced hearing loss might be proposed for recreational PLD users.

Метод підвищення швидкості завантаження веб-сторінок

Developed software for secure configuration of caching of dynamic content of web pages, which aims to simplify the user's process of configuring dynamic content that can be cached, reduce the risk of caching personal data, increase the percentage of cached pages containing dynamic content, reduce the load on the main server, and speed up page loading for the end user.

POLICY OPTIONS FOR INCREASING UTILIZATION OF COMMUNITY CLINIC SERVICES: A STUDY IN RURAL BANGLADESH

This paper aims to identify the problems of Community Clinic (CC) services in rural Bangladesh and to provide some policy options to increase the utilization. Here qualitative methods have been used, including document review, observation, fact check and key informant interviews with policy elites. Among those, the option relating to the absenteeism of health care providers at CC, scored the highest total value of 2.7 in multi criteria analysis as well as viable in PESTLE analy-sis. Therefore, the recommended option is introduction of biometric system at the CCs. This system is necessary in the CCs to ensure timely presence of the service providers to promote quality and safety in health care towards healthy communities. This system will also assist in implementing the plan of Digital Bangladesh by directly connecting the CCs with the main serv-er of Management Information System of Directorate General of Health Services.

Data Management for Quality Improvement: How to Collect and Manage Data.

Data Management for Quality Improvement: How to Collect and Manage Data.

IMPLEMENTASI LOAD BALANCING SISTEM CLUSTER SERVER PADA WEB SERVER UNTUK JAMINAN KETERSEDIAAN LAYANAN TINGGI

Website services have become especially important thing and are the primary need of everyone’s information needs. This High information needs require website services to be reliable so that it doesn’t disrupt it’s user. Problems often happened in the website services when the infrastructure supporting it was having system failure, such as power shortage, natural disaster, hardware failure, and internet network problem etc. To increase website services’ system reliability and optimal service, infrastructure system that support server cluster schema is needed. The objective of infrastructure system that support server cluster schema is to increase website services’ system reliability and minimize downtime. Server cluster allow website services to look undisturbed on the user’s view even though there are some problems happening in the main server such as power shortage, because the website services is being serve by backup server using failover function. Infrastructure’s requirement for implementation of cluster server system at least needs to be double from the main system used, so that when the main system had hardware or software problems the backup system can serve website services just as good as the main system. It is hoped that website services will always available and the services is undisturbed even though there are problems in the infrastructure.

Anti-Smuggling Alarm System for Trees in Forest using Raspberry pi

Nowadays, There are trees like Sandal; Sagwan etc are going to be smuggled. These trees are very costly and meagre. These are used in the medical and cosmetic products. To restrict their smuggling and to save forests around the globe some preventive measures needs to be deployed. To restrict the smuggling, we have developed a system which consists of two units i.e. Tree Unit and Main Server unit. The Tree Unit consists of MEMS sensor (to detect the inclination of tree when its being cut), Fire sensor (to detect forest fires) and GPS system. Data generated from these sensors is continuously monitored with the raspberry pi. Through the sensors, their output devices are activated via relay switch. The data of different tree units collected by a base station (Main Server Unit) by using WIFI module. For MEMS sensor a buzzer is activated and for Fire sensor a water pump is activated. Generated data is stored in Server over the Wi-Fi module. Forest officials get the alert when any event occurs so that appropriate action taken place. Camera is used to capture Image and send to Gmail. The location where smuggling happens can be tracked by GPS system.

Preserving Privacy with Federated Learning in Route Choice Behavior Modeling

While big data helps improve decision-making and model developments, it often runs into privacy concerns. An example would be retrieving drivers’ origin and destination information from smartphone navigation apps for developing a route choice behavior model. To conserve privacy, yet to take advantage of big data in navigation applications, the authors propose to apply a federated learning approach, which has shown promising application in predicting smartphone keyboard’s next word without sending text to the server. Additional benefits of using federated learning is to save on data communications, by sending model parameters instead of entire raw data, and to distribute the computational burden to each smartphone instead of to the main server. The results from real-world route navigation usage data from about 30,000 drivers over one year showed that the proposed federated learning approach was able to achieve very similar accuracy to the traditional centralized global model and yet assures privacy.

An Innovative Performance of Refuge using Stowage Main Servers in Cloud Computing Equipment

Distributed computing has been imagined as the cutting edge engineering of IT Enterprise. It moves the application programming and information bases to the incorporated enormous server farms, where the administration of the information and administrations may not be completely dependable. There are various security issues for distributed computing as it envelops numerous innovations including networks, information bases, working frameworks, virtualization, asset planning, exchange the board, load adjusting, simultaneousness control and memory the executives. Putting away information in an outsider's cloud framework causes genuine worry over information secrecy. Hence, security issues for a large number of these frameworks and advancements are material to distributed computing. We propose a key worker encryption conspire and incorporate it with a decentralized deletion code with the end goal that a safe conveyed stockpiling key framework is defined respectively.

A Multifunctional RFID enabled Shopping Tramcar

In the diligent world with full of time restraints people run behind time. In order to save time and labor graft, we have proposed a multifunctional shopping tramcar to avoid queues in the super-market and shopping malls. The core intent of this project is to develop a robust tool with high efficiency, minimal cost and an accustomated structure for the ease of customers and retailers. The system works with the integration of 7 modules. Firstly, develop a login credentials for each customer to connect the cart with the main server through a website based login and set the budget, if it crosses the limit it notifies the customer. The products are scanned via RFID scanner. Besides, this system is embedded with a technique which intimates the product spot when searched. It also has the anti-theft mechanism feature, enabling automatic bill display and automatic payment. The sales rate could also be predicted to drop down the work of a retailer.

A Live Smart Parking Demonstrator: Architecture, Data Flows, and Deployment

Smart Parking is essential for any future smart cities due to the tremendous growth of the car fleet. Such infrastructures require a certain amount of equipment. Indeed, smart parking integrates a lot of actors, to manage the parking its equipment must be managed accordingly. Here, is proposed a distributed architecture to manage them by collecting efficiently their data. Two types of data relating to the parking must be collected: those coming from the deployed equipment in the parking and those coming from the internet due to remote users. Thus, a system of two main servers based on the multi-agent concept is proposed. This system manages the parking platform. The first server is dedicated to the parking equipment data collection (Processing Server–PS). The second server (Processing Web Server–PWS) collects the users’ online data such as reservation, and it is responsible for pricing policies, and receive post-processed data from the Processing Server. The parking equipment integrates a lot of commercial solutions, an intelligent multi-platform application based on this two server philosophy is developed and can be used for parking operation by users and parking managers. The flowcharts of the agents from the two mains servers are presented. These flowcharts are currently used in our demonstrator and still under improvements. Here, we present the architecture (hardware and software) of our smart parking demonstrator developed by our department and suitable for the experimentation of our future work related to this hot topic.