A Study on the Challenges of Human-Centric Cyber-Security and the Guarantee of Information Quality

Information security and quality management are often considered two different fields. However, organizations must be mindful of how software security may affect quality control. This paper examines and promotes methods through which secure software development processes can be integrated into the Systems Software Development Life-cycle (SDLC) to improve system quality. Cyber-security and quality assurance are both involved in reducing risk. Software security teams work to reduce security risks, whereas quality assurance teams work to decrease risks to quality. There is a need for clear standards, frameworks, processes, and procedures to be followed by organizations to ensure high-level quality while reducing security risks. This research uses a survey of industry professionals to help identify best practices for developing software with fewer defects from the early stages of the SDLC to improve both the quality and security of software. Results show that there is a need for better security awareness among all members of software development teams.

A Survey of Applications Research on Content-Centric Networking

As a named data-based clean-slate future Internet architecture,Content-Centric Networking(CCN)uses entirely different protocols and communication patterns from the host-to-host IP network.In CCN,communication is wholly driven by the data consumer.Consumers must send Interest packets with the content name and not by the host’s network address.Its nature of in-network caching,Interest packets aggregation and hop-byhop communication poses unique challenges to provision of Internet applications,where traditional IP network no long works well.This paper presents a comprehensive survey of state-of-the-art application research activities related to CCN architecture.Our main aims in this survey are(a)to identify the advantages and drawbacks of CCN architectures for application provisioning;(b)to discuss the challenges and opportunities regarding service provisioning in CCN architectures;and(c)to further encourage deeper thinking about design principles for future Internet architectures from the perspective of upper-layer applications.

企业级影像让医疗模式更优化——北京大学国际医院应用Centricity企业级影像解决方案案例

目前,很多医院正面临以下各种现实问题：临床医生缺乏,放射科医师比需要的更少;专业化增强,医师越来越多地寄希望于通过专业化提高自身待遇;而法律法规不断要求医院改变提供医疗服务的方式。随着运营成本的不断膨胀,医疗机构意识到必须实施新的项目、流程和IT解决方案,以帮助他们提高临床生产力、优化质量和通量以及改善患者满意度。

What to Cache：Differentiated Caching Resource Allocation and Management in Information-Centric Networking

Information-centric networking(ICN) aims to improve the efficiency of content delivery and reduce the redundancy of data transmission by caching contents in network nodes. An important issue is to design caching methods with better cache hit rate and achieve allocating on-demand. Therefore, an in-network caching scheduling scheme for ICN was designed, distinguishing different kinds of contents and dynamically allocating the cache size on-demand. First discussing what was appropriated to be cached in nodes, and then a classification about the contents could be cached was proposed. Furthermore, we used AHP to weight different contents classes through analyzing users' behavior. And a distributed control process was built, to achieve differentiated caching resource allocation and management. The designed scheme not only avoids the waste of caching resource, but also further enhances the cache availability. Finally, the simulation results are illustrated to show that our method has the superior performance in the aspects of server hit rate and convergence.

Preliminary Network Centric Therapy for Machine Learning Classification of Deep Brain Stimulation Status for the Treatment of Parkinson’s Disease with a Conformal Wearable and Wireless Inertial Sensor

The concept of Network Centric Therapy represents an amalgamation of wearable and wireless inertial sensor systems and machine learning with access to a Cloud computing environment. The advent of Network Centric Therapy is highly relevant to the treatment of Parkinson’s disease through deep brain stimulation. Originally wearable and wireless systems for quantifying Parkinson’s disease involved the use a smartphone to quantify hand tremor. Although originally novel, the smartphone has notable issues as a wearable application for quantifying movement disorder tremor. The smartphone has evolved in a pathway that has made the smartphone progressively more cumbersome to mount about the dorsum of the hand. Furthermore, the smartphone utilizes an inertial sensor package that is not certified for medical analysis, and the trial data access a provisional Cloud computing environment through an email account. These concerns are resolved with the recent development of a conformal wearable and wireless inertial sensor system. This conformal wearable and wireless system mounts to the hand with the profile of a bandage by adhesive and accesses a secure Cloud computing environment through a segmented wireless connectivity strategy involving a smartphone and tablet. Additionally, the conformal wearable and wireless system is certified by the FDA of the United States of America for ascertaining medical grade inertial sensor data. These characteristics make the conformal wearable and wireless system uniquely suited for the quantification of Parkinson’s disease treatment through deep brain stimulation. Preliminary evaluation of the conformal wearable and wireless system is demonstrated through the differentiation of deep brain stimulation set to “On” and “Off” status. Based on the robustness of the acceleration signal, this signal was selected to quantify hand tremor for the prescribed deep brain stimulation settings. Machine learning classification using the Waikato Environment for Knowledge Analysis (WEKA) was applied using the multilayer perceptron neural network. The multilayer perceptron neural network achieved considerable classification accuracy for distinguishing between the deep brain stimulation system set to “On” and “Off” status through the quantified acceleration signal data obtained by this recently developed conformal wearable and wireless system. The research achievement establishes a progressive pathway to the future objective of achieving deep brain stimulation capabilities that promote closed-loop acquisition of configuration parameters that are uniquely optimized to the individual through extrinsic means of a highly conformal wearable and wireless inertial sensor system and machine learning with access to Cloud computing resources.

Cloud-Enabled E-Governance Framework for Citizen Centric Services

In the modern arena, the Information and Communication Technologies (ICTs) have been playing a vital role in every walks of our day to day life. In order to enhance the ICT capacity and align with the global technology transformations, the developing countries have started introducing the computerization and automation processes at different levels of the governments. The several research studies revealed that the existing legacy of governance system and their services in current state have several issues and challenges in terms of timeliness, cost of services, delay in service delivery, time-bound availability of services (24/7/365), inefficiency services, ease of service and discomforts, poor service collaboration, absence of responsiveness, and limited security of sensitive information/documents. A significant question is still unanswered that how to bring the Citizens and Government bodies closer for alleviating the aforementioned issues and challenges of existing government system services. This research paper aims to investigate the issues and challenges in the current status of Governance and partial E-Governance systems which encompass the computerization or automation process. The research designs a cloud framework for effective delivery of citizen centric services in general and Ethiopia as a specific case study. After rigorous analysis of prior research efforts, along with primary survey and interview, it was clearly observed that cloud computing can be an alternative instrumental for significant transformation of governmental service delivery. The research paper used a mix of exploratory and constructive research design and methodology with qualitative & quantitative data analysis approach. Finally, a Cloud Based E-Governance (CBEG) Framework is designed for the delivery of Ethiopian Citizen Centric Services. The validation, evaluation and acceptance test of the framework proves that the revealed knowledge can provide a significant transformation towards the betterment of the E Governance Services Delivery Systems.

Artifact-centric workflow management system

Data-centric modeling approach for workflow specification and design has received considerable attention from research and development communities.An architecture for a workflow management system named EZFLOWS was outlined.Key components and research issues associated with the development of EZFLOWS were discussed.

Integration-centric approach to system readiness assessment based on evidential reasoning

An integration-centric approach is proposed to handle inadequate information in the system readiness level （SRL） assessment using the evidential reasoning （ER） algorithm. Current SRL assessment approaches cannot be applied to handle inadequate information as the input. The ER-based approach is proposed to synthesize inadequate input information and an integration-centric perspective is applied to reduce the computational complexity. Two case studies are performed to validate the efficiency of the proposed approach. And these studies are also performed to study how the inadequate information will affect the assessment result. And the differences caused by the system＇s structure. The importance of the system＇s structure in the SRL assessment is demonstrated and the contributions made in this study are summarized as conclusions.

心“E”随行 守护常在——山西省心血管病医院应用Centricity企业级影像解决方案案例

全世界每年死于心脑血管疾病的人数高达1500万人,居各种死因首位。心脑血管疾病已成为人类死亡病因的头号杀手,对其治疗也成为医院尤其是心脑血管病医院的不懈追求。但面对医院熙攘的人群,排队的长龙,常常会让患者不知所措,医护繁忙不堪。因此,如何利用信息技术缓解＂三长一短＂,提高工作效率是很多医院的头等大事。GE医疗推出的Centricity企业级影像解决方案,已在国内很多医院实施使用。

Hypothyroidism—A Question towards Quality and Patient Centricity

The metabolic and endocrine disorders are either increasing across the globe or may have been observed with more focus in recent years. It is not uncommon now to find out neither patients of endocrine and metabolic disorders nor a physician of the associated diseases. There were 42 million people who had thyroid disorders including hypothyroidism according to the survey of endocrine society of India. Hypothyroidism is said when less activity of thyroid glands is observed then the normal. So, to evaluate the quality standard, empowerment and patient centricity in Pakistan with present prevalence of hypothyroidism in different age groups, gender along with the prescribed medication against pre diagnosed disease and associated co-morbidities, the study is designed with a questionnaire development including both qualitative and quantitative variables. Study was conducted on various OPD’s, profit and not for profit secondary and tertiary care hospitals and consultant clinics during July 2013 to Jan 2014 and it was given consideration to include people from all areas of life with minimization of any unforeseen biasness and comprehensive data. After full filling the inclusion criteria, 102 patients were selected as study participants. After completion and reviewing the questionnaire, data were analyzed by 21.00 SPSS version. Chi square/ fisher test, spearmen’s rank correlation were applied for categorical quantitative variable. Paired t test before and after were applied for qualitative variable. Highly significant reliability of items in the questionnaire was found along with inter item correlation (P < 0.05). Out of 102 patients of the study, 80 patients fell into the inclusion criteria, while 22 were excluded. A total of 80 patients were registered in the incorporate duration. Among the total samples 36 (42.9%) were males and 44 (52.4%) were females. Mean age males and females included in the study were 34.89 ± 17.73 and 33.36 ± 13.73 years respectively. The systolic and diastolic blood pressure (120/80 mg Hg) was observed in 18 (40.9%) females’ and 13 (36.1%) males’ patients. Quality, patient centricity and empowerment were the poor areas which need additional consultations and counseling for crutches free environment.

An Efficient Update Strategy for Content Synchronization in Content-Centric Networking(CCN)

Content-centric Networking(CCN) is progressively flattering the substitutable approach to the Internet architecture through illuminating information(content) dissemination on the Internet with content forenames.The emergent proportion of Internet circulation has expectant adjusting Content-centric architecture to enhance serve the user prerequisites of accessing content.In recent years,one of the key aspects of CCN is ubiquitous in-network caching,which has been widely received great attention in research interest.One foremost shortcoming of in-network caching is that content producers have no awareness about where their content is put in storage.Because routers in CCN have caching capabilities,therefore,each and every content router can cache the content item in its storage capacity.This is problematic in the case in which a producer wishes to update or make the changes in its content item.In this paper,we present an approach regarding how to address this issue with a scheme called efficient content update(ECU).Our proposed ECU scheme achieves content update via trifling packets that resemble contemporary CCN communication messages with the use of additional table.We measure the performance of ECU scheme by means of simulations and make available a comprehensive exploration of its results.

Super Node Routing Strategy in Content-Centric Networking

There were two strategies for the data forwarding in the content-centric networking(CCN): forwarding strategy and routing strategy. Forwarding strategy only considered a separated node rather than the whole network performance, and Interest flooding led to the network overhead and redundancy as well. As for routing strategy in CCN, each node was required to run the protocol. It was a waste of routing cost and unfit for large-scale deployment.This paper presents the super node routing strategy in CCN. Some super nodes selected from the peer nodes in CCN were used to receive the routing information from their slave nodes and compute the face-to-path to establish forwarding information base(FIB). Then FIB was sent to slave nodes to control and manage the slave nodes. The theoretical analysis showed that the super node routing strategy possessed robustness and scalability, achieved load balancing,reduced the redundancy and improved the network performance. In three topologies, three experiments were carried out to test the super node routing strategy. Network performance results showed that the proposed strategy had a shorter delay, lower CPU utilization and less redundancy compared with CCN.

Web Security and Log Management: An Application Centric Perspective

The World Wide Web has been an environment with many security threats and lots of reported cases of security breaches. Various tools and techniques have been applied in trying to curb this problem, however new attacks continue to plague the Internet. We discuss risks that affect web applications and explain how network-centric and host-centric techniques, as much as they are crucial in an enterprise, lack necessary depth to comprehensively analyze overall application security. The nature of web applications to span a number of servers introduces a new dimension of security requirement that calls for a holistic approach to protect the information asset regardless of its physical or logical separation of modules and tiers. We therefore classify security mechanisms as either infrastructure-centric or application-centric based on what asset is being secured. We then describe requirements for such application-centric security mechanisms.

CMLP: Exploiting Caches at Multiple Levels of Proxies to Enhance Seamless Mobility Support in Information-Centric Networks

The recent evolution of the Internet towards "Information-centric" transfer modes has renewed the interest in exploiting proxies to enhance seamless mobility. In this work, we focus on the case of multiple levels of proxies in ICN architectures, in which content requests from mobile subscribers and the corresponding items are proactively cached to these proxies at different levels. Specifically, we present a multiple-level proactive caching model that selects the appropriate subset of proxies at different levels and supports distributed online decision procedures in terms of the tradeoff between delay and cache cost. We show via extensive simulations the reduction of up to 31.63% in the total cost relative to Full Caching, in which caching in all 1-level neighbor proxies is performed, and up to 84.21% relative to No Caching, in which no caching is used. Moreover, the proposed model outperforms other approaches with a flat cache structure in terms of the total cost.

A Novel Data Schema Integration Framework for the Human-Centric Services in Smart City

Human-centric service is an important domain in smart city and includes rich applications that help residents with shopping, dining, transportation, entertainment, and other daily activities. These applications have generated a massive amount of hierarchical data with different schemas. In order to manage and analyze the city-wide and cross-application data in a unified way, data schema integration is necessary. However, data from human-centric services has some distinct characteristics, such as lack of support for semantic, matching, large number of schemas, and incompleteness of schema element labels. These make the schema integra- tion difficult using existing approaches. We propose a novel framework for the data schema integration of the human-centric services in smart city. The framework uses both schema metadata and instance data to do schema matching, and introduces human intervention based on a similarity entropy criteria to balance precision and efficiency. Moreover, the framework works in an incremental manner to reduce computation workload. We conduct an experiment with real-world dataset collected from multiple estate sale application systems. The results show that our approach can produce high-quality mediated schema with relatively less human in- terventions compared to the baseline method.

Neighborhood-Based In-Network Caching for Information-Centric Networks

The current Internet is based on host-centric networking, and a user needs to know the host address before reaching a data target in the network. The new architecture of information-centric networking (ICN) facilitates users to locate data targets by giving their data names without any information about host addresses. In-network caching is one of the prominent features in ICN, which allows network routers to cache data contents. In this paper, we emphasize the management of in-network cache storage, and this includes the mechanisms of cache replacement and cache replication. A new cost function is then proposed to evaluate each cache content and the least valuable content is evicted when cache is full. To increase cache utilization, a cooperative caching policy among neighboring routers is proposed. The proper network locations to cache data contents are also discussed in the paper. Experimental results show the superiority of the proposed caching policy than some traditional caching polices.

Content Centric Networking: A New Approach to Big Data Distribution

In this paper, we explore network architecture anal key technologies for content-centric networking （CCN）, an emerging networking technology in the big-data era. We descrihe the structure anti operation mechanism of tl CCN node. Then we discuss mobility management, routing strategy, and caching policy in CCN. For better network performance, we propose a probability cache replacement policy that is based on cotent popularity. We also propose and evaluate a probability cache with evicted copy-up decision policy.

CHINA CREATING “1+N” CENTRIC MODEL OF STATE GOVERNANCE

Through 40 years of reform and open-up,China’s system is no longer a monocentric one of centralized control and at the same time neither is it a polycentric one,but rather it is a"1+N"centric model of governance.It is a model that combines polycentric with monocentric with several centers,all of which however are centering on a mono-center.

Tensor-Centric Warfare III: Combat Dynamics with Delta-Strikes

This paper is the third part of the complex combat dynamics series, called tensor-centric warfare (for the first two parts, see [1] [2]). In the present paper, we extend the tensor combat model from [1] and [2] to model the dynamics of delta-strikes/missiles , which are temporally confined strong kinetic effects . The scenarios analyzed here include both deterministic and random delta-strikes which mimic single, multiple and continuous-time missile attacks. We also look at the bidirectional random strike as well as the general Hamilton-Langevin dynamics framework and provide an interpretation of the results obtained through simulation.

Tensor-Centric Warfare VI: A Global Warfare Model

We propose a global warfare model that integrates the models of the whole tensor-centric warfare series, represented as a high-dimensional entangled warfare category. Its underpinning metaphysics is “entangled fusion”: this is the macroscopic entanglement concept inspired by high-dimensional (HD) quantum computation (the “quantum brain”), in which any number of entangled wave-functions can be highly correlated, with neuron-like signaling among them. From this entangled perspective, war and battle is seen essentially as a holistic phenomenon: if any one of a set of mutually entangled warring parties is removed from the equation, then the war as it is instantly stops, possibly to be replaced by a new conflict between the remaining parties but distinct from that which it supplants. The formal global warfare framework developed in this paper expresses this fundamental idea of arbitrary many interrelated/entangled conflicts, each of them defined by its own battle-manifold (with warfighting tensor fields acting on it) and occurring (more-or-less) simultaneously on the planet;we call this entangled