System Builders Research Articles

Effectiveness of aid projects in climate technology familiarization in recipient countries

ABSTRACT Due to inequalities of innovation capacity among nations, climate technologies’ minimizing greenhouse gas emissions require deliberate interventions for adoption and diffusion in developing countries. Aid projects of international development organizations have long served the function of system builders for climate technologies through demonstration projects or barrier removal activities. Emerging transition literature has come up with theories of how project-level niche experiments gradually affect landscape settings through bottom-up evolution. The activities of the aid projects on climate technologies match the posited roles of niche experiments nurturing with the co-evolution of technology, user practices and regulatory structures. This paper provides insight into how climate technologies, previously supported by aid projects, played a role in familiarizing these technologies in recipient countries. Familiarization in this paper is defined as the non-prioritization of climate technology in a country’s Technology Needs Assessment (TNA) document. It was found that increasing project duration lowers the chance of technology’s inclusion in TNA, while higher project cost increased the odds of inclusion. Given the time-consuming nature of capacity building over multiple fronts, the effectiveness of future projects depends on donors’ ability to commit aid over multiyear periods to sustain scale-up.

Realising the transition to bioenergy: Integrating entrepreneurial business models into the biogas socio-technical system in Uganda

This study assesses the entrepreneurial potential and feasibility of developing a mobile system for purifying and bottling biogas in portable cylinders for wider society consumption and benefit. Our findings reveal that existing research has neglected the entrepreneurial potential in biogas energy that could increase energy supply and access in developing countries. Therefore, using a multimethod approach, the paper provides a comprehensive analysis of how an entrepreneurial business model could be developed and integrated into the biogas socio-technical system in Uganda. The analysis from the transitional model canvas shows that current biogas users have a relatively high satisfaction rate (50%) and with the adoption of the entrepreneurial business model this satisfaction could be captured on a wider social spectrum. Results from the feasibility study indicate that by sourcing materials locally, system builders (entrepreneurs) achieve a marginal cost reduction of 64% compared to when they are imported. Both findings from the transitional model canvas and the feasibility study indicate a high probability of not only reducing the supply gap but also a reliable energy source for developing countries and a potential for income generation and employment for the wider society.

Hydrogen Economy Development Opportunities by Inter-Organizational Digital Knowledge Networks

Innovative power-to-X (P2X) technologies, as a set of emerging new solutions, could play a crucial role in creating sustainable, carbon-neutral economies, such as the hydrogen economy. These technologies, however, are generally not yet implemented on a commercial scale. This research focuses on how innovative, digital inter-organizational knowledge networks of industry representatives and universities could contribute to the commercial implementation of P2X technologies and increase the pace of sustainable hydrogen-based development. The findings of an extended case study with a hybrid (qualitative–quantitative) methodology and a five-year time horizon, suggest the need for a digital knowledge platform, where universities and industry representatives add and combine their knowledge. In contrast with expectations, however, the empirical results show that academia would, not only be capable of supporting the exploration of new solutions, but foster the exploitation of more mature technologies as well. Similarly, large energy companies could also drive exploratory activities, not only exploitative ones. The findings highlight the possible central role of the “system builder” actor, who integrates exploitative-explorative learning and facilitates the formation of a (digital) innovation ecosystem. By exceeding the dominant techno-economic and environmental aspects, this research contributes to the literature by highlighting the applicability of network-based innovation management theory for hydrogen economy research.

Research on Regulation of Internet Advertising Platform

As advertisement publishers, Internet advertising platforms are the main media and channels for Internet commercial paid advertisements. Management norms and control mechanisms act are the first barrier in actual governance activities. Interest-oriented Internet platforms have natural defects in the process of regulation. The Internet advertising platform has multiple identities such as participants in the public governance of Internet advertising, rule-makers, discourse system builders, advertising publishers, product development and operators, platform owners, and service providers. Internet advertising platforms need to strengthen their own regulations to improve advertising content review rules, advertising qualification access rules, operations and channel management mechanisms, and also need to strengthen their own self-discipline[1]. At the same time, government regulatory agencies and industry organizations need to strengthen the supervision of the platform, and the society and the media also need to strengthen supervision and participation.

Artificial Intelligence's Grand Challenges: Past, Present, and Future

Innovative, bold initiatives that capture the imagination of researchers and system builders are often required to spur a field of science or technology forward. A vision for the future of artificial intelligence was laid out by Turing Award winner Raj Reddy in his 1988 Presidential address to the Association for the Advancement of Artificial Intelligence. It is time to provide an accounting of the progress that has been made in the field, over the last three decades, toward the challenge goals. While some tasks such as the world‐champion chess machine were accomplished in short order, many others, such as self‐replicating systems, require more focus and breakthroughs for completion. A new set of challenges for the current decade is also proposed, spanning the health, wealth, and wisdom spheres.

Pengembangan Sistem Informasi Manajemen Pengelolaan Dana Donatur Berbasis Web (Studi Kasus : Yayasan Angel Hearts Bali)

The development of information technologies that support each other has given rise to the concept of Internet-based information technology, which is now becoming more widespread and more widely used in the conduct of a company's business in various fields. A management information system is designed to meet the general information needs of managers within a company. A non-profit company/organization, such as a foundation. The Angel Hearts Bali Foundation is a social organization that manages and connects donors who wish to donate or donate their assets for distribution to those in need, such as the needs of orphans, low-income communities, sick people, surgical houses, victims of natural disasters. and educational assistance. Several systems are in operation, namely donor registration services, cash donor transactions, donor data reporting and transactions with received donor funds (donations). The author is developing a management information system for managing donor funds, which includes donor registration, donation transactions, donation management, distribution of donor funds and a donation report for both donors, as well as an Angel Hearts Bali Foundation reporting report with the title Network Information Development donor fund management systems at Angel Hearts Bali Foundation, where research uses the Waterfall research method to conduct structured research with predetermined milestones that must be completed first in order to move on to the next phase. This system builder uses DFD, ERD and PhpMyadmin as the programming language to build the network.

SmartTS: A Component-Based and Model-Driven Approach to Software Testing in Robotic Software Ecosystem

Validating the behaviour of commercial off-the-shelf components and of interactions between them is a complex, and often a manual task. Treated like any other software product, a software component for a robot system is often tested only by the component developer. Test sets and results are often not available to the system builder, who may need to verify functional and non-functional claims made by the component. Availability of test records is key in establishing compliance and thus selection of the most suitable components for system composition. To provide empirically verifiable test records consistent with a component’s claims would greatly improve the overall safety and dependability of robotic software systems in open-ended environments. Addi-tionally, a test and validation suite for a system built from the model package of that system empirically codifies its behavioural claims. In this paper, we present the “SmartTS methodology”: A component-based and model-driven approach to generate model-bound test-suites for software components and systems. SmartTS methodology and tooling are not restricted to the robotics domain. The core contribution of SmartTS is support for test and validation suites derived from the model packages of components and systems. The test-suites in SmartTS are tightly bound to an application domain’s data and service models as defined in the RobMoSys (EU H2020 project) compliant SmartMDSD toolchain. SmartTS does not break component encapsulation for system builders while providing them complete access to the way that component is tested and simulated.

Decision Support System of Student Study Service Program Group Distribution Applying Process Hierarchy Analitic Method: A Case Study Lppm of Musamus University

Student study service is a community service, education and research activity that is carried out in an interdisciplinary and intra-curricular by dividing students into each group in certain location. Its group and location were determined by applications that produce alternative choices in making decisions on the distribution of student study service groups evenly through certain methods and criteria. The research applied the analytic hierarchy process method, where problems were simplified in a hierarchy including 3 components, such as goals, assessment criteria and alternative choices. The criteria were gender, department, and location potential. Applications of system builder were Visual Basic .NET, SQL Server and Crystal Report. The results were to facilitate distribution according to the criteria balanced and time of student study service efficiently. By the application, it assisted administration staff to determine student study service distribution and was able to be developed into various features and criteria.

Thinking spatial

The systems community in both academia and industry has tremendous success in building widely used general purpose systems for various types of data and applications. Examples include database systems, big data systems, data streaming systems, and machine learning systems. The vast majority of these systems are ill equipped in terms of supporting spatial data. The main reason is that system builders mostly think of spatial data as just one more type of data. Any spatial support can be considered as an afterthought problem that can be supported via on-top functions or spatial cartridges that can be added to the already built systems. This article advocates that spatial data and applications need to be natively supported in special purpose systems, where spatial data is considered as a first class citizen, while spatial operations are built inside the engine rather than on-top of it. System builders should consider spatial data while building their systems. The article gives examples of five categories of systems, namely, database systems, big data systems, machine learning systems, recommender systems, and social network systems, that would benefit tremendously, in terms of both accuracy and performance, when considering spatial data as an integral part of the system engine.

Yağmur Suyu Toplama Sistemlerinde Optimum Depolama Yönteminin Belirlenmesi: Karabük Üniversitesi Sosyal Yaşam Merkezi Örneği

Yağmur suyu toplama (YST) sistemi, yağmur suyunu toplama ve bu serbest yağmur suyunu belirli bir amaç için tekrar kullanmadan önce depolama yöntemidir. Bu sistem, dünyadaki yerel iklim şartlarına uygun olan çoğu bölgede yaygın olarak kullanılmaktadır. Yağmur suyu toplama sistemlerinin optimum maliyetle uygulanması ve düşük geri ödeme süresiyle tasarlanması, sistemin sürdürülebilirliği ve tercih edilebilirliği açısından önemlidir. Bu çalışmada, yüksek alanda sert zemine ve çatı yüzeyine sahip olan Karabük Üniversitesi Sosyal Yaşam Merkezi’nin meydan ve çatısından elde edilebilecek yağmur suyu hasadı için yağmur suyu toplama sistemi (YST) tasarımı sürecinde uygun depo büyüklüğü hesaplanmıştır. Üniversitenin mevcut depo hacmi de göz önünde bulundurularak kurgulanan senaryolar üzerinden, kurulabilecek YST sistemi için inşaat ve depo maliyetleri göz önünde bulundurularak optimum depolama yöntemine karar verilmiştir. Çalışmanın YST sistem tasarımında ön süreç olan depo miktarı ve depolama yönteminin belirlenmesi aşamasında, sistem kurucularına ve karar vericilerine yol göstermesi beklenmektedir.

Node Location Study of an Urban Underground Container Logistics Network

Underground logistics systems are becoming a new way to solve the problems of urban logistics delivery and surface traffic congestion. Among them, intelligent containers, as a means of transport in the underground logistics trunk network, will allow for significantly less volumes for the logistics OD (starting point to the destination of the flow of goods), where container logistics network node site selection has been a key issue of the city’s underground logistics network planning. Based on an analysis of the characteristics of urban logistics OD, this paper builds a model that targets and optimizes parameters, such as infrastructure cost and operating cost, from the perspective of the system builder. The cplex algorithm was used to solve the model. Finally, the validity and logic of the model and algorithm are verified via case study analysis.

Developing Expert System for Soil Stabilization under Flexible Pavement

Experts are, generally, busy and few in number. Getting them to work any time and in several locations is difficult, if not impossible, and requires time, cost and stress. Soil stabilization and modification represent an excellent domain for the development of an expert system, which contains a knowledge base of heuristic rules about types and remedies of stabilization. Thus, an Expert system program is a suitable solution together with the all the unpublished knowledge of the experts and combine it into a single accessible program, which could come in handy whenever a novice, student or practitioner engineer need it. The knowledge is extracted from literatures, questionnaire form and interviews with senior pavement engineers (expert), who have long expertise in flexible pavement engineering, especially in stabilization. The knowledge is then represented in knowledge base and encodes to be suitably entered in expert system builder shell (ES BUILDER). The system after being developed is have then to be evaluated by the experts and the users, to evaluate its efficiency and to recommend improvements and offer suggestions to improve the user interface. The overall commands after the evaluation stated that the software was very favorable. The users were very impressed by the system and it's efficient and solutions for the soil stabilization.

The Rise of CFD: Analysing System Builders' Role in the Creation of Technological Innovation Systems

The starting juncture of technological innovation system (TIS), an extension of the system of innovation (SI) lens, is where a system of interacting actors is established. TIS is arguably one of the most commonly used lenses in the study of development and diffusion of breakthrough innovation (BTI). The current scholarship has ignored the vital first step namely the establishment of the system starting from a juncture where a functioning TIS is in existence. The literature also alludes to the important role of system builder without unfolding the concept fully. In this paper, using a comparative case study on the emergence of Computational Fluid Dynamics (CFD), we examine system builder’s role, attributes and actions in pursuit of establishing a TIS for a BTI. We also examine how the proximal formal and informal institution affect system builders’ capacity to establish a TIS. As a result of the analysis, the paper extends knowledge by developing a descriptive theory on the orchestrated establishment of TIS.

Animal Subjects: Literature, Zoology, and British Modernism, by Caroline Hovanec

Animal Subjects: Literature, Zoology, and British Modernism, by Caroline Hovanec

Mapping social innovation networks: Knowledge intensive social services as systems builders

Social innovations are often seen as the product of social entrepreneurs. This paper instead asserts that social innovations are also routinized. This is the result of the appearance of a new type of actors: Knowledge Intensive Social Services (KISS). Like Knowledge Intensive Business Services (KIBS), KISS are consultancy organizations that provide their clients with specific knowledge to assist them in their innovation efforts. KISS differ from KIBS in that KISS agents are specializing in social innovations. KISS also involve third party agents - public and private - in the service relationship. We show that these connecting activities are creating growing social innovation networks. Despite being very dependent on the initial KISS actor, such networks can become more robust by interacting with other social innovation networks.

국내 태양광발전시스템 적합성 평가를 위한 기술기준

Currently, KS certification system for new and renewable energy facilities in Korea is operated at the level of issuing KS certification mark through factory audit and performance audit by individual product unit. Therefore, the technical standards and performance evaluation when constructing the system by organically integrating each subsystem such as PV inverter, photovoltaic module, photovoltaic junction box, and monitoring device. In this regard, it is not currently reflected in the KS certification system for new and renewable energy facilities in Korea. In addition, domestic photovoltaic power generation system construction is being supplied to public institutions and government offices through the Public Procurement Service’s excellent product system. Only the GS-certified product registered in the copyright and technology development successful product of R&D business is applied, but the performance evaluation of the technical standard of each system unit is not made. As a result, most of the domestic photovoltaic power generation system builders are evaluated for the performance of the photovoltaic power generation system by issuing a report through their own test evaluation by a domestic accredited testing institute for the purpose of registering the successful product development of the R&D business of the excellent product system. Therefore, in this paper, we propose a specification related to system diagnosis evaluation through status information in case of interoperation and abnormality between subsystems.

Guiding the Emergence of Excellent Large Digital Systems

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">In their early years many major technologies have failed to create the huge productivity gains they would eventually deliver</i> <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">. Today, many emergent and large-scale digital systems display weaknesses parallel to immature systems of the past. System builders need to learn from campaigns that created productivity-driving systems in the past and in recent years and build highly effective large systems for our future. Insights into the opportunities are presented in this article.</i>

Robust and efficient memory management in Apache AsterixDB

SummaryTraditional relational database systems handle data by dividing their memory into sections such as a buffer cache and working memory, assigning a memory budget to each section to efficiently manage a limited amount of overall memory. They also assign memory budgets to memory‐intensive operators such as sorts and joins and control the allocation of memory to these operators; each memory‐intensive operator attempts to maximize its memory usage to reduce disk I/O cost. Implementing such memory‐intensive operators requires a careful design and application of appropriate algorithms that properly utilize memory. Today's Big Data management systems need the ability to handle large amounts of data similarly, as it is unrealistic to assume that truly big data will fit into memory. In this article, we share our memory management experiences in Apache AsterixDB, an open‐source Big Data management software platform that scales out horizontally on shared‐nothing commodity computing clusters. We describe the implementation of AsterixDB's memory‐intensive operators and their designs related to memory management. We also discuss memory management at the global (cluster) level. We conducted an experimental study using several synthetic and real datasets to explore the impact of this work. We believe that future Big Data management system builders can benefit from these experiences.

Design of an Expert System for Airport Rubber Removal

The most important parameter for airport operator is safety. Minimizing any possible risks for passengers, crew, and equipment is the main objective of applying safety management systems at airports. The rubber deposits that accumulate on the runway surface due to aircraft operations is one of the most critical factors that directly effects on the skid resistance value of the airport runway.Four common techniques are applied throughout the world for mitigating this rubber strip water blasting, chemical, shot blasting, and mechanical. Every technique has its pros and cons in terms of cost, efficiency, environmental effect, and damage to pavement surface. The current design involves developing an expert system that takes into account the parameters that may support choosing the optimal method for rubber removal in certain situations. These parameters include airport classification, cost involvement, accessibility, pavement damage concerns, environment damage or side effects, and any additional factors such as noise.The system is developed using webpage-based Expert System builder ES-Builder. Simple user interface, windows based, easy to build the decision tree are the major concerns for choosing this program to build the proposed expert system. The expert system follows a deduction process, until the expert system makes the final conclusion according to user selected answers. The proposed expert system works very well when selecting appropriate answers taking into consideration specific characteristics for each airport category. Faulty conclusions could be given if the user does not use the appropriate parameters related to the airport category. There is no optimum solution, every airport situation is different, and the solution or the recommended method varies from one airport to another.

Unravelling the role of green entrepreneurs in urban sustainability transitions: A case study of China’s Solar City

This paper aims to understand the role of green entrepreneurs in urban sustainability transitions. We propose an analytical framework combining transition approaches and green entrepreneurship from a relational lens. It includes four processes: emergence of green entrepreneurs, multi-scalar interest coordination, empowering through anchoring, and struggling with the regime at the urban scale. This framework is illustrated through an empirical analysis of the role of green entrepreneurs in the development of the solar water heater industry in China’s Solar City. The analysis unravels how the local institutional contexts and multi-scalar relations empowered local green entrepreneurs to become system builders for urban transitions.