Client Inputs Research Articles

AI-BASED OUTFIT RECOMMENDATION SYSTEM

The expanding request for personalized online shopping encounters has driven the advancement of cleverly proposal frameworks custom-made to person client inclinations. Within the design industry, a customized approach to styling proposals upgrades client fulfillment and shopping effectiveness by proposing outfits and adornments that adjust with each user's interesting characteristics, such as body shape, skin tone, stature, and fashion inclinations. In any case, conveying precise personalized proposals is challenging due to the subjective and complex nature of design, requiring a nuanced understanding and versatile reactions to client needs.This paper presents a comprehensive clothing proposal framework utilizing progressed calculations to prepare client inputs and produce custom-made equip proposals. Through a user-friendly web interface, the framework captures key individual properties and employments a generative proposal show to supply real-time, personalized styling counsel. Clients are guided on a styling travel that considers their particular highlights, making a difference them investigate closet choices that best complement their appearance. The stage coordinating item joins for a streamlined shopping involvement and utilizes MongoDB for secure information capacity, guaranteeing strong administration and assurance of client data. This approach upgrades client fulfillment and addresses the specialized challenges of personalized design proposals within the advancing online retail scene. Key Words: content filtering, collaborative filtering, KNN, neural networks, AI-based RSs.

PLASMA: Private, Lightweight Aggregated Statistics against Malicious Adversaries

Private heavy-hitters is a data-collection task where multiple clients possess private bit strings, and data-collection servers aim to identify the most popular strings without learning anything about the clients' inputs. In this work, we introduce PLASMA: a private analytics framework in the three-server setting that protects the privacy of honest clients and the correctness of the protocol against a coalition of malicious clients and a malicious server. Our core primitives are a verifiable incremental distributed point function (VIDPF) and a batched consistency check, which are of independent interest. Our VIDPF introduces new methods to validate client inputs based on hashing. Meanwhile, our batched consistency check uses Merkle trees to validate multiple client sessions together in a batch. This drastically reduces server communication across multiple client sessions, resulting in significantly less communication compared to related works. Finally, we compare PLASMA with the recent works of Asharov et al. (CCS'22) and Poplar (S&P'21) and compare in terms of monetary cost for different input sizes.

Regulatory pluralism: positing priority actions in waste and recycling management

ABSTRACT The annual management of 67 million tonnes of waste and recycling streams poses significant environmental pollution and regulatory challenges to Australian governments. While the Australian government has carriage of waste and recycling policy and coordination, operational aspects rest with state-territory and local governments. This research examined stakeholder perspectives and, while lacking in individual and community client data inputs, exposed regulatory limitations, waste and recycling problems and issues, and forward trajectories for waste policies and programs. Regulatory pluralism theory served as the study’s lens, showing that the rapid rise in waste production and reduced waste transfers to China will require a composite of improved waste regulations, landfill and waste handling management practices; additional recycling behaviour modification incentives; and domestic and international waste and recyclate markets development. In addition, the analysis highlighted the important leadership role for the federal tier of waste governance in product stewardship reform, and the advancement of waste and recycling infrastructure development under new national cabinet and federal reform arrangements. Importantly, from the theory perspective, the research built into the cumulative tradition of pluralistic regulatory systems development.

Efficient Deep Neural Network Serving: Fast and Furious

The emergence of deep neural networks (DNNs) as a state-of-the-art machine learning technique has enabled a variety of artificial intelligence applications for image recognition, speech recognition and translation, drug discovery, and machine vision. These applications are backed by large DNN models running in serving mode on a cloud computing infrastructure to process client inputs such as images, speech segments, and text segments. Given the compute-intensive nature of large DNN models, a key challenge for DNN serving systems is to minimize the request response latencies. This paper characterizes the behavior of different parallelism techniques for supporting scalable and responsive serving systems for large DNNs. We identify and model two important properties of DNN workloads: 1) homogeneous request service demand and 2) interference among requests running concurrently due to cache/memory contention. These properties motivate the design of serving deep learning systems fast (SERF), a dynamic scheduling framework that is powered by an interference-aware queueing-based analytical model. To minimize response latency for DNN serving, SERF quickly identifies and switches to the optimal parallel configuration of the serving system by using both empirical and analytical methods. Our evaluation of SERF using several well-known benchmarks demonstrates its good latency prediction accuracy, its ability to correctly identify optimal parallel configurations for each benchmark, its ability to adapt to changing load conditions, and its efficiency advantage (by at least three orders of magnitude faster) over exhaustive profiling. We also demonstrate that SERF supports other scheduling objectives and can be extended to any general machine learning serving system with the similar parallelism properties as above.

Linking HIV/AIDS Clients’ Self-Care with Outcomes

The self-care practice of HIV/AIDS patients has become an important topic to help HIV/AIDS patients maintain their maximum level of well-being in chronic illness management. This article presents a self-care outcomes model that is applicable to HIV/AIDS nursing practice and research, and it identifies attributes and outcomes related to HIV/AIDS patients'self-care. The self-care outcomes model was developed based on the Outcomes Model for Health Care Research and literature review. Key variables related to HIV/AIDS self-care were summarized and discussed based on nine dimensions: client inputs, client processes, client outcomes, provider inputs, provider processes, provider outcomes, setting inputs, setting processes, and setting outcomes. This article reveals that self-care in HIV/AIDS is complex and may be influenced by many factors relating to individual, family, and health care system. More research with advanced multivariate statistical models and randomized controlled trial design will help determine the effectiveness of self-care strategies and interventions.

온라인 대화 행위에서 XML 기반 메시지를 이용한 미디어 지원

본 논문에서는 온라인 대화 행위에서 다양한 미디어를 지원하기 위하여 XML(eXtensible Markup Language)을 이용하는 방법을 제안한다. 제안한 방법은 온라인 대화 행위에서 미디어 정보를 XML 기반 메시지로 변환하여 기존 텍스트 기반 메시지와 유사하게 처리한다. 이때 XML 기반 메시지와 미디어는 서버에 저장되며, XML 기반 메시지는 하나의 XML 문서로 통합된 후 XSLT 문서를 적용하여 HTML 문서를 생성한다. 각 클라이언트의 대화자는 HTML 문서의 하이퍼링크를 이용하여 미디어를 재생 및 프레젠테이션 한다. 제안한 방법은 온라인 대화 행위에서 텍스트, 이미지, 오디오, 비디오 등의 다양한 미디어의 사용을 효율적으로 지원하고, 또한 XML 태그의 확장 및 변경에 따라 텍스트 기반 메시지의 글자 크기, 색깔, 스타일 등의 유지보수에 효율적이다. 적용 예로서, 온라인 대화 행위에서 미디어를 지원하기 위하여 클라이언트-서버구조를 가지는 시스템을 구현하였으며, 각 대화자는 웹 브라우저에서 JAVA 애플릿과 서블릿을 사용하여 텍스트 및 미디어 기반 메시지를 입력하며, 대화자가 메시지를 입력할 때마다 대화 메시지가 자동으로 갱신되도록 하였다. 대화자는 사용자 인터페이스상의 대화 메시지에서 하이퍼링크의 클릭으로 미디어를 재생 및 프레젠테이션 한다. 제안한 방법의 응용 분야로는 원격 교육, 게임, 협업 등이다. This paper proposes how to support various media on online conversational activity using XML(extensible Markup Language). The method converts media information into XML based messages and handles alike conventional text based messages. The XML based messages are unified to an XML document, and then a HTML document is generated using the XML and an XSLT documents in a server. A user in each client can play or present media through the hyperlink that is associated media information on the HTML document. The suggested method supports use of various media (text, image, audio, video, documents, etc) and efficient maintenance of font size, color, and style on messages according to extension and modification of XML tags. For application, this paper implemented the system to support media that has client and server architecture on online conversational activity. A user in each client inputs text or media based message using JAVA applet and servlet on the system, and conversational messages on every users' interfaces are automatically updated whenever a user inputs new message. Media on conversational messages are played or presented according to a user's click on hyperlink. Applications for the media presentation are as follows : distance learning, online game, collaboration, etc.

THE INCIDENCE AND EFFECTS OF INNOVATION IN SERVICES: EVIDENCE FROM GERMANY

Innovation processes in services remain under-researched, but recently large-scale surveys have been conducted which allow for a more systematic appraisal of the level and scope of innovation in services. To date, much of the literature on innovation in services focuses on the adoption and use of information and communication technologies (ICTs). Innovation in services, and services innovation, should, however, be understood in broader terms, and this understanding should extend to non-technological innovation. This paper presents evidence from a recent large-scale survey of innovation amongst German commercial service firms. It shows that services are much more active with respect to innovation than is widely thought. They are innovative in terms of being producers of service and process innovations. From our broader perspective, we examine the pattern of innovation as it relates to the standardisation-particularisation of service products, across a range of service sectors and across firms of various sizes. The production of bespoke or customised services shaped by client inputs has long been considered a defining characteristic of many services, and one that has affected their innovation potential. The present analysis reveals a pattern of diversity in behaviour, which reflects the diversity amongst service firms, and demonstrates the need for more subtle and differentiated analyses of services and services innovation.

The Incidence and Effects of Innovation in Services Evidence from Germany

Innovation processes in services remain under-researched, but recently large-scale surveys have been conducted which allow for a more systematic appraisal of the level and scope of innovation in services. To date, much of the literature on innovation in services focuses on the adoption and use of information and communication technologies (ICTs). Innovation in services, and services innovation, should, however, be understood in broader terms, and this understanding should extend to non-technological innovation. This paper presents evidence from a recent large-scale survey of innovation amongst German commercial service firms. It shows that services are much more active with respect to innovation than is widely thought. They are innovative in terms of being producers of service and process innovations. From our broader perspective, we examine the pattern of innovation as it relates to the standardisation-particularisation of service products, across a range of service sectors and across firms of various sizes. The production of bespoke or customised services shaped by client inputs has long been considered a defining characteristic of many services, and one that has affected their innovation potential. The present analysis reveals a pattern of diversity in behaviour, which reflects the diversity amongst service firms, and demonstrates the need for more subtle and differentiated analyses of services and services innovation.

Performance Measurement

Over the years, "accountability" in the human services has focused upon issues such as the legal framework, organizational management, financial responsibility, political concerns, and client inputs and expectations. Within the past decade, the meaning of "accountability" has been extended to the more dynamic organizational functions of "efficiency" and " effectiveness." Efficiency and effectiveness increasingly must be put to the tests of performance measurement and outcome evaluation. Forces outside the social work profession, including, among others, federal expectations and initiatives and the increased implementation of the concept of managed care, will ensure that efficiency and effectiveness will be central and highlighted concerns far into the future. This "new accountability" is demanded by the stakeholders in the nonprofit sector and by federal requirements built into the planning, funding, and implementation processes for nonprofits and for-profits alike.