Quick Response Mechanism Research Articles

Practice in Information Technology Support for Fangcang Shelter Hospital during COVID-19 Epidemic in Wuhan, China

In confronting the sudden epidemic of COVID-19, China and other countries have been under great deal of pressure to block virus transmission and reduce death cases. Fangcang shelter hospital, which is converted from large-scale public venue, is proposed and proven to be an effective way for administering medical care and social isolation. This paper presents the practice in information technology support for a Fangcang shelter hospital in Wuhan, China. The experiences include the deployment strategy of IT infrastructure, the redesign of function modules in the hospital information system (HIS), equipment maintenance and medical staff training. The deployment strategy and HIS modules have ensured smoothness and efficiency of clinical work. The team established a quick response mechanism and adhered to the principle of nosocomial infection control. Deployment of network and modification of HIS was finished in the 48 hours before patient admittance. A repair hotline and remote support for equipment and software were available whenever medical workers met with any questions. No engineer ever entered the contaminated areas and no one was infected by the coronavirus during the hospital operation. Up to now, Fangcang shelter hospital is adopted by many regions around the world facing the collapse of their medical systems. This valuable experience in informatization construction and service in Wuhan may help participators involving in Fangcang shelter hospital get better information technology support, and find more practical interventions to fight the epidemic.

Detection of DDoS Attack in TCP protocol using Hybrid Machine Learning Techniques

Recently, damage caused by DDoS attacks increases year by year. Along with the advancement of communication technology, this kind of attack also evolves and it has become more complicated and hard to detect using flash crowd agent, slow rate attack and also amplification attack that exploits a vulnerability in DNS server. Fast detection of the DDoS attack, quick response mechanisms and proper mitigation are a must for an organization. An investigation has been performed on DDoS attack and it analyzes the details of its phase using machine learning technique to classify the network status. In this paper, we propose a hybrid KNN-SVM method on classifying, detecting and predicting the DDoS attack. The simulation result showed that each phase of the attack scenario is partitioned well and we can detect precursors of DDoS attack as well as the attack itself.

Hermes: A Privacy-Preserving Approximate Search Framework for Big Data

We propose a sampling-based framework for privacy-preserving approximate data search in the context of big data. The framework is designed to bridge multi-target query needs from users and the data platform, including required query accuracy, timeliness, and query privacy constraints. A novel privacy metric, $(\varepsilon,\delta)$ -approximation, is presented to uniformly measure accuracy, efficiency and privacy breach risk. Based on this, we employ bootstrapping to efficiently produce approximate results that meet the preset query requirements. Moreover, we propose a quick response mechanism to deal with homogeneous queries, and discuss the reusage of results when appending data. Theoretical analyses and experimental results demonstrate that the framework is capable of effectively fulfilling multi-target query requirements with high efficiency and accuracy.

Design and Implementation of A Monitoring System for Geological Archives

A monitoring system for geological archives with TCP/IP network communication is designed in this research to address wide distribution range, long distance, slow data updating, and difficult maintenance of city and county geological archives. The designed system uses the single chip STC11F32XE and the Ethernet control chip RTL8019AS as a hardware platform. The hardware design scheme, software design method, and the main programming flowchart of the geological archive monitoring unit were presented, and a specific data test was carried out. This monitoring system not only monitors and controls temperature, humidity, ponding, power supply, and other environmental data in geological archives, but also realizes geological data transmission between city (county) and provincial geological archives. In addition, this system is designed with a GSM warning mechanism, which could accelerate the quick response mechanism of the system. The entire monitoring system is accessed through the provincial environmental resources website with a fixed IP address. To ensure standardization of the monitoring system, the data transmission standard of the application layer used the associated standards of the Ministry of National Land and Resources. The entire system design improves the storage environment of the geological data effectively. It provides important data support to solve inconsistencies between provincial and city (county) geological data, as well as ensures scientific management of geological issues.

Safety of the blood supply.

The transfusion of blood components plays a significant role as supportive therapy in the treatment of patients with cancer. Although blood transfusions help manage complications arising from either the patient's primary condition or associated with therapeutic intervention, their use introduces a new set of risks; therefore, health care professionals must be aware of the potential morbidity introduced by using blood components and endeavor to optimize outcomes by ordering transfusions only when the benefits outweigh the inherent risks. This article sought to review the published literature, including the epidemiology of diseases transmissible via transfusion, performance characteristics for assays used for blood donor screening, surveillance activities to detect newly emergent pathogens, and biovigilance activities reported by public health authorities. Effective measures have been implemented to significantly decrease the risk of transmissible diseases associated with transfusion. Reports of viral disease transmitted via transfusion have been nearly eliminated, particularly since the introduction of molecular-based detection technology. The transmission of bacteria and parasites still represents a threat to the use of cellular blood components. Transfusion-associated human prion disease has not been reported in the United States. Immune-mediated reactions due to donor-recipient incompatibility remain a challenge. Transmissible agents most commonly associated with risks due to transfusion are no longer a major threat; however, a significant challenge remains with regard to addressing the need for quick response mechanisms to manage emerging pathogens with the potential for rapid spread, either unintentionally (eg, globalization) or intentionally (eg, bioterrorism). The use of technology to reduce pathogens holds promise for further increasing the safety profile of blood transfusion.

Science, Media and Policy Collaboration in Practice: Bird Flu Case in Bali, Indonesia

Abstract : This paper discusses how science (scientist) and policy (government) collaborate on the bird flu case in Bali Indonesia and the importance of public participation in dealing with the case. It is concluded that the collaboration between science and policy in the bird flu case in Bali Indonesia has not well practiced. There is a gap and conflict between them because they have different analytical paradigm, interest, and point of view. Public participation is very important because it can encourage them to set up quick response mechanism and increase public awareness of the danger of the virus. So they can stop the spread of the virus by themselves

Integrated Virtual Logistics Network for Quick Responses

Trucking is a vital segment of the transportation system that supports Indian Manufacturing. Trucking companies are attempting at providing such non-traditional trucking services as warehousing, distribution, inventory management, picking and packing - assembly operations and return goods management as part of their value added services thus making manufacturing (brick and mortar) activity competitive in the information (click) age. The major stakeholders in this exercise are (i) manufacturing industries (particularly Small and Medium scale enterprises - SMEs), (ii) logistics service providers (transportation, warehousing, clearing and forwarding agencies), and (iii) government and financial agencies (Central Excise and Customs, Regional Transport Organizations, Surface Transport Agencies and Banks etc). The present scenario warrants an integrated quick response mechanism to extend complete logistics solutions in a seamlessly integrated manner to reduce costs rather than extending the services in a disjointed way. In this context, this paper attempts at: 1) Study of the present IT architecture, business processes of different agencies, involved in providing and using logistics industry's services in India, like Transportation sector (Trucking agencies, trucking brokers and 3PL service providers), Customs & Central Excise of India internal processes and their external interactions with EDI partners (like Airports Authority of India, Port Trusts, Banks etc.,), Manufacturing Companies' IT infrastructures [Small and Medium scale industries enterprise resource planning (ERP) and supply chain management (SCM) platforms), and 2) Developing a framework for Integrated virtual logistics network for Quick Responses which would factor in the existing processes, systems and organizations' roles and the government's proposed investments in the e-commerce and e-governance infrastructure, and designing a technology transformation road map.

Multi-item quick response system with budget constraint

Quick response mechanisms based on effective use of up-to-date demand information help retailers to reduce their inventory management costs. We formulate a single-period inventory model for multiple products with dependent (multivariate normal) demand distributions and a given overall procurement budget. After placing orders based on an initial demand forecast, new market information is gathered and demand forecast is updated. Using this more accurate second forecast, the retailer decides the total stocking level for the selling season. The second order is based on an improved demand forecast, but it also involves a higher unit supply cost. To determine the optimal ordering policy, we use a computational procedure that entails solving capacitated multi-item newsboy problems embedded within a dynamic programming model. Various numerical examples illustrate the effects of demand variability and financial constraint on the optimal policy. It is found that existence of a budget constraint may lead to an increase in the initial order size. It is also observed that as the budget available decreases, the products with more predictable demand make up a larger share of the procurement expenditure.

DESIGNING A MULTI-SITE PRODUCTION PLANNING SYSTEM FOR WAFER FABRICATION

ABSTRACT This paper proposes a production planning system for a semiconductor enterprise with multi-site fabs. Profit achievement of the whole enterprise and quick response mechanism for the due date setting are the major considerations of the proposed system. Two modules are included in this system. Throughput planning module considers the achievement of enterprise's profit, operating characteristics of each fab site and cycle time impact to each level of orders. With this module, the proper production quantity and product mix for each fab is derived so as to achieve enterprise's profit target. Then, job-order planning module is applied for order allocation and due date setting. Rapidly distributing customers' orders to each proper site and responding reliable due date to customers are the main functions of this module. A simulation experiment is performed to demonstrate the effectiveness and efficiency of the proposed system.

An accelerated subcontracting and procuring model for construction projects

Considering the characteristics of highly specialized corporation in the construction industry, it's crucial to select appropriate subcontractors to implement specific subprojects. In this research, the overall subcontracting supply chain of a construction project is considered as a global procurement system and an optimal combination of subcontractors can be obtained within this system. Combining the quick response mechanism of information technology with portfolio theory in financial management, an integrated XML (eXtensible Markup Language) of Accelerated Subcontracting And Procuring (ASAP) model was proposed. The ultimate goal of this study is not only to develop a web-based decision support system for general contractors to accurately decide an appropriate trade-off between risk and profit for different combinations of subcontractors, but to take the subcontracting and procuring process into re-engineering through omnipresent Internet.