Customer Need Research Articles

An investigation on machine-learning models for the prediction of cyanobacteria growth

Harmful algal blooms, which are a danger to the lives of humans and animals, are caused by a sudden increase in the concentration of cyanobacteria in freshwater lakes. Cyanobacteria concentrations can be reliably measured using chemical and biological indicators, but the measurement process of the indicators is either labor-intensive or very costly. These limitations do not allow the general public to measure concentrations, so local health organizations or departments regularly assume the responsibility of measuring water quality. While computational models exist to predict algal concentrations, the accuracy of these models and need for customization due to varied lake conditions make them generally not yet reliable. We find that common regression-error functions cannot sufficiently evaluate the performance of cyanobacteria prediction models because the occurrence of harmful algal blooms is rare. Therefore, we present a method of forecasting cyanobacteria concentrations in freshwater lakes based on a machine-learning model trained on a dataset from Lake Utah with automatically-measured indicators from lake buoys. We compare several models and find that a support vector machine with a radial basis function kernel for regression reliably forecasts harmful algal blooms using comparatively few and easy-to-obtain input parameters. The special feature of the model is that it exclusively uses variables that can be measured by the general public without great effort and costs, and the amount of data necessary to train such a model is relatively minimal, allowing different models to be trained to accommodate for the nuances of different lakes.

Correction to: Customer Needs and Solutions, Vol 7, Issue 3–4

Correction to: Customer Needs and Solutions, Vol 7, Issue 3–4

The Unexpected Benefits of Customer Discovery for Research, Teaching, Economic Development, and Innovation

The Innovation-Corps™ (I-Corps) program was created by the National Science Foundation (NSF) in 2011 to help translate NSF-funded academic research to market. Working with coordi- nating partner VentureWell, the NSF offers select participants from U. S. academic laboratories the opportunity to immerse themselves in a process to test and explore the opportunities and value of their ideas in the marketplace. Participants talk to potential customers, partners, and competitors to refine their research ideas into viable products using an entrepreneurial approach to meet the challenges and uncertainty of creating successful innovations. This paper summarizes panel content that was planned for the NAI Ninth Annual Meeting, which was cancelled due to COVID-19 concerns and restrictions. The purpose of the panel was to provide a range of uniquely different perspectives; thus, we have opted to maintain the question and answer format. The panelists first examine the real and perceived, or intended and unintended, outputs of I-Corps projects and then discuss the I-Corps process as the catalyst for refining and/or scaling promising research idea into a product to meet a customer need. The panelists then describe the importance of customer discovery as relevant to invention and to culturally conscious entrepreneurship and how this first step can aid basic research. The panelists highlight the opportunities and challenges of teaching a customer discovery approach in an academic setting by charging learners to ask open-ended questions to acquire a 360-degree perspective of a technological innovation. Lastly, the panelists provide a viewpoint on the execution of academic customer discovery during the current COVID-19 challenges and the potential for economic development.

Sistem Informasi Penjualan Label Printing pada PT. Citrajaya Labelindo

In this day and age, it takes a sound system to increase sales. The increase or development of sales is the goal of each company. There's a lot to do to increase sales, including a good marketing strategy. It is necessary for a medium to publish information, whether information about the company or goods to be sold. One of the media that can use is the internet. Companies can use the internet as a tool to publish various information or can make sales online or called E-Commerce. With e-commerce information or deals can be accessed wherever and whenever customers need. E-Commerce is one of the technologies applied within PT. Citrajaya Labelindo. Based on the description above, the author tried to create a design label printing sales website that aims to promote and provide information about the product, product price and product details quickly and updated. The use of the website expected to expand the marketing reach of the product without being limited by space and time, so as to increase sales. The website-based sales system was developed using waterfall development methods, with the PHP programming language and database used being MySQL.

Neuroendoscopic options in myelomeningocele related hydrocephalus

Introduction: The use of neuroendoscopic for the management of myelomeningocele-associated hydrocephalus is still controversial. Anatomic variations and abnormalities of the ventricular system and the confusing topography of the floor of the third ventricle are of utmost importance in this approach. 
 Case presentation: The present case video displayed a case of a 4-year-old girl with myelomeningocele related hydrocephalus presented with a closure of third ventriculostomy after tethered cord release. Several neuroendoscopic options were depicted such as third ventriculostomy using bipolar diathermia, ventriculocystostomy of a quadrigeminal arachnoid cyst and a choroid plexus cauterization as a strategy to improve the success rate of this procedure and handle the difficulties presented in this form of hydrocephalus.
 Discussion: This video warned the young neurosurgeons regarding ventricular anatomic challenges presented in this case as well as the need of customization of neuroendoscopic approach.
 Conclusion: Neuroendoscopic approach is an effective strategy to manage myelomeningocele-associated-hydrocephalus.

Optimal Design of Power Transformer with Advance Core Material using ANSYS Technique

Due to indulge behavior of core materials and losses that leads to degradation of transformer efficiency. This research paper evaluating the optimal performance of transformer with designing of a newly core material namely as Mo.Me6. A possibility of increment in the efficiency for designed proposed model of transformer is observable. Also, a comparative analytical study based on the different designs of core type transformer with various core materials. The design and evaluation are performed on the Maxwell ANSYS electronic desktop platform, which provides an optimized design of transformer for practical applications. Whether it is a power transformer having lower frequency applications use in electronic circuits such as rectifying circuits or higher frequency applications power distribution circuit, etc. All transformer designs require performance evaluation in the working field and better efficiency to optimize the overall three-phase type core transformer. In this paper, proposed Mo.Me6 material with improved physical properties have been present of transformer efficiency and optimal design of core. The criteria include the changes in some effective parameters of the core, bringing out advancement in the working efficiency of the transformer. There is an opportunity to have a choice of desired material as designed particularly for the customer need making it will be more reliable and more suitable for various changeable conditions. For more efficient and effective working of transformer, this paper suggests core design with ANSYS techniques to achieve mentioned high efficiency with lower losses.

Integrated PSS Roadmapping Using Customer Needs and Technology Change Likelihood

A product roadmap depicts the vision and direction of a product offering over time. It is a guiding strategic document as well as a plan for executing the strategy, which communicates the why and what behind the product's development. Fulfilling the market demand for solutions composed of products and services requires new approaches for roadmapping. This article presents a method for the definition and managing of a product-service system (PSS) roadmap based on both the market needs and the technology change likelihood. In this way, an integrated management of the PSS's product and service shares is performed, which also supports the shift from different PSS types (product-, use- or performance-oriented). The proposed approach is based on the acceptance, ephemerality, importance, operationalize, and urgency variables: importance and urgency relate to market requirements, acceptance, and operational relate to technology choices, and ephemerality relates to how both the requirements and/or technologies are likely to change in a given time horizon. To illustrate and evaluate the approach, a roadmap is developed for a home appliance. The results show the proposed method's efficiency for both setting the product architecture and defining and managing the roadmap.

EIT-MESHER – Segmented FEM Mesh Generation and Refinement

EIT-MESHER (<a href="https://github.com/EIT-team/Mesher" target="_blank">https://github.com/EIT-team/Mesher</a>) is C++ software, based on the CGAL library, which generates high quality Finite Element Model tetrahedral meshes from binary masks of 3D volume segmentations. Originally developed for biomedical applications in Electrical Impedance Tomography (EIT) to address the need for custom, non-linear refinement in certain areas (e.g. around electrodes), EIT-MESHER can also be used in other fields where custom FEM refinement is required, such as Diffuse Optical Tomography (DOT). <strong>Funding statement:</strong> This work was supported by an ARCHER eCSE grant (eCSE13-11). James Avery was supported by the NIHR Imperial BRC.

The Strategy of Personal Customization and Method of Collecting Professional Dynamic Information

The need for personal customization in professional dynamic information collection requires crawling information that is published within specified time durations, extracting accurate and interest-focused information, and assuring the completeness of the information. By combining the technology of jsoup and Lucene as well as the extensibility research on Heritrix, this paper proposes a set of personal customization strategies and methods for professional dynamic information collection: analyze the composition of the URL link to filter out information beyond a specified time window according to different URL types; set up different cleaning templates to extract the attribute items for different styles of websites; establish user personalization blacklist to filter out the information with poor relevance to user interests; apply correction function to improve the robustness of the crawler and guarantee the completeness of the information. Using the collection part of the Dynamic Information Collecting System of Oil and Gas Resources project as a case verification, the results show that the strategies and methods can be used to achieve the three objectives: timeliness; accuracy and interest-focus; and completeness. The proposed strategies and methods may be applied to the construction of an industrial dynamic information collection system.

Kano모델을 이용한 배달앱 선택속성에 관한 연구

July 28, 2020 for residents of Seoul, Gyeonggi, and metropolitan areas who have experience using delivery apps in order to understand which optional attributes of the delivery app reflect customer needs and which optional attributes should be improved first. From August 10th to August 10th, 3 indifferent qualities and 18 unified qualities were derived using the Kano model through a total of 238 samples. In Timko's Customer Satisfaction Coefficient, the items with higher Better Coefficient are the food taste and quality, the correct arrival time, detailed photos of the menu composition, the hygiene of the packaging, and the packaging hygiene with a high Worse coefficient in the order of luxurious packaging type. The taste and quality of food, resolution of inconveniences such as cancellation and refund, clear delivery fee notification, and thorough personal information security were followed. The simplicity of the membership registration process classified as attractive quality factor in the Timko customer satisfaction coefficient, thorough personal information security, accurate delivery of information such as menu, price, and business hours, reliable and honest reviews, accurate expected arrival time, food taste and quality, The hygiene of packaging, detailed photos of the menu composition, payment and accumulation of mileage, coupon, discount, and points, diversity of payment methods, and the simple payment system are attributes that can differentiate when increasing customer satisfaction and need to be used as a marketing strategy.

Kano모델을 이용한 배달앱 선택속성에 관한 연구

July 28, 2020 for residents of Seoul, Gyeonggi, and metropolitan areas who have experience using delivery apps in order to understand which optional attributes of the delivery app reflect customer needs and which optional attributes should be improved first. From August 10th to August 10th, 3 indifferent qualities and 18 unified qualities were derived using the Kano model through a total of 238 samples. In Timko's Customer Satisfaction Coefficient, the items with higher Better Coefficient are the food taste and quality, the correct arrival time, detailed photos of the menu composition, the hygiene of the packaging, and the packaging hygiene with a high Worse coefficient in the order of luxurious packaging type. The taste and quality of food, resolution of inconveniences such as cancellation and refund, clear delivery fee notification, and thorough personal information security were followed. The simplicity of the membership registration process classified as attractive quality factor in the Timko customer satisfaction coefficient, thorough personal information security, accurate delivery of information such as menu, price, and business hours, reliable and honest reviews, accurate expected arrival time, food taste and quality, The hygiene of packaging, detailed photos of the menu composition, payment and accumulation of mileage, coupon, discount, and points, diversity of payment methods, and the simple payment system are attributes that can differentiate when increasing customer satisfaction and need to be used as a marketing strategy.

Green Marketing to Customer Need and Customer Satisfaction in Herbal City Community: Case of the North of Thailand

Herbal medicine companies have essential role among the community. It has unique role in the medicine companies to fulfill the health-related needs of people. However, herbal city community was neglected by the literature. Especially, the role of green marketing was not examined in relation to the customer needs and customer satisfaction. Hence, the current study filled this literature gap by examining the role of green marketing in customer needs and customer satisfaction. This objective was achieved by examining the relationship between green marketing, green environment, customer needs and customer satisfaction. The survey questionnaire was effective tool for data collection which was used in this study and 210 valid responses were used in data analysis. Data were collected from North of Thailand. Results of the study shows that green marketing has positive effect on customer needs. Green marketing also has positive effect on customer satisfaction. Moreover, green marketing promotes green environment which further shows positive influence on customer needs and customer satisfaction.

Bridging the Semantic Gap Between Customer Needs and Design Specifications Using User-Generated Content

Although product design has been considered as a collaborative activity, progress in developing methods to facilitate the design process has been hampered by difficulties in building common bases among various stakeholders. Customers may only have general needs of the product in layman's terms instead of the sufficient domain knowledge to identify the product specifications. Thus, there is a great need in design research to translate the expressed needs in natural language to design specifications and bridge this semantic gap. By leveraging the massive amount of online user-generated content, we develop a deep learning-based method to automatically identify product design parameters or product specifications. Specifically, we crawl product review data and the corresponding product metadata from e-commerce websites. A convolutional neural network based solution is provided to map product reviews to product specifications. Experimental results show that the method can be well adapted to the mapping from customer needs in the natural language to product specifications. The method facilitates product design by addressing the semantic gap between general customer needs and detailed product specifications. In addition, the automated mapping greatly improves the efficiency and reduces labor in the design process.

A Privacy-Preserving Reinforcement Learning Algorithm for Multi-Domain Virtual Network Embedding

The problem of optimally deploying a virtual network onto a substrate physical network is referred to as Virtual Network Embedding (VNE). In general, this embedding is requested by a customer to an Internet Service Provider (ISP), which performs the VNE over its physical telecom network. In several situations, the physical substrate infrastructure is composed of multiple independent ISPs. In this scenario, ISPs are concerned about exposing to a third-party entity (e.g., the customer) sensitive infrastructural details that are needed to perform an effective embedding. Following a common privacy-preserving approach, known as Limited Information Disclosure (LID), the embedding may be performed by the customer based on a limited and abstracted view of the multi-domain infrastructure that ISPs accept to expose. With this approach, embedding is sub-optimal (e.g., embedding cost is not minimized) in comparison with the case where all information is available, i.e., Full Information Disclosure (FID). In this work, we propose a Reinforcement-Learning-based algorithm able to process data that the customer and ISPs cipher under the Shamir Secret Sharing (SSS) scheme. This approach guarantees total privacy to both the customer and the ISPs (e.g., details about a virtual function are only revealed to the ISP in charge of hosting it) and achieves comparable embedding cost of an existing FID heuristic, as observed from extensive simulations. The main drawback of our algorithm is the high overhead of data that ISPs and the customer need to exchange with each other to execute it. Hence, we also explore the trade-off between embedding cost and data overhead resulting from the reduction of operations done by the RL. In general, intermediate embedding costs between the FID and LID heuristics can be obtained at a significant reduction of data overhead, while not sacrificing any privacy guarantees.

Green Marketing to Customer Need and Customer Satisfaction in Herbal City Community: Case of the North of Thailand

Herbal medicine companies have essential role among the community. It has unique role in the medicine companies to fulfill the health-related needs of people. However, herbal city community was neglected by the literature. Especially, the role of green marketing was not examined in relation to the customer needs and customer satisfaction. Hence, the current study filled this literature gap by examining the role of green marketing in customer needs and customer satisfaction. This objective was achieved by examining the relationship between green marketing, green environment, customer needs and customer satisfaction. The survey questionnaire was effective tool for data collection which was used in this study and 210 valid responses were used in data analysis. Data were collected from North of Thailand. Results of the study shows that green marketing has positive effect on customer needs. Green marketing also has positive effect on customer satisfaction. Moreover, green marketing promotes green environment which further shows positive influence on customer needs and customer satisfaction.

Study on the scheme‐design framework and service‐business case of product service system oriented by customer value

As the market competition is becoming fierce, to obtain long-term profits for manufacturing enterprises, under the high-frequency dynamic customer needs (CNs), many manufacturing enterprises have to transform from product manufacturers to industrial product–service providers. The product–service system (PSS) is the key to spur manufacturing companies to move from the design and production of a single product to the design and manufacture of an overall solution (including products and services). Because of the shortcomings of the current research, a customer value-oriented PSS overall scheme-design framework is proposed. On this basis, a customer value hierarchy model, value model, function model, and scheme model are established. The multi-level mapping of CNs information to product–service solutions was realised, and the leading key technologies of scheme design of the PSS were proposed. Finally, according to the different scheme-design implementation models, various service-business cases are analysed, which can provide a reference value for the research of the scheme design of the PSS.

UDP-TRIZ model improvement with a focus group discussion of TRIZ experts

Universal Design is a fundamentals of good design. A product with Universal Design approach should provide wide range of solution for people with different purposes including those with diverse disabilities. However, designers often based on a subjective understanding of Universal Design Principles (UDP) to formulate design solutions. This result in the inaccurate conversion of design needs. A systematic approach is needed in order to develop a concept to meet the customer need. Previous studies shown potential integration of the Theory of Inventive Problem Solving (TRIZ) proposed to create a systematic approach for problem-solving requires creativity abilities. The purpose of this study is to explore the construction of the integration model of UDP and TRIZ 40 inventive principles. To construct the integration model of UDP and TRIZ 40 inventive principles, this study will use focus group discussion of certified TRIZ experts in the exploration of establishing an integration model of UDP and TRIZ 40 inventive principles. The further discussion onto the elements required to create the integration model by the TRIZ experts will be taken into consideration to construct a final model UDP-TRIZ model. Finally, the results are expected to lead towards a final integration model of the UDP and TRIZ integration model.

Segmentation Analysis of Students in X Course with RFM Model and Clustering

In the business world, the competition to maintain and obtain more customers has become tougher. The presence of new players entering the market is driven by the developments of internet and advertisement. The X guitar course is an institution engaged in the field of non-formal education services. The customers are the course student that has made the payment transaction. The map of customer segmentation is one of the most important components in finding the main needs of each customer. Know the main needs of each customer is expected to increase the customer’s loyalty. Customer segmentation can be done by using the clustering method through a data mining approach in the form of RFM (Recency, Frequency and Monetary) Models. Recency is the data of the last payment transaction date. Frequency shows the number of course payment transactions. Monetary comes from the nominal amount of the transaction. RFM data is combined with the Fuzzy Gustafson-Kessel and K-Means clustering method to produce output in the form of k-clusters of customer. The formed segment is expected to represent the need of customers that vary by using validation process with the Global Silhouette Index. The customer population of the course is 225 students. It has been concluded that the RFM score for each subject by using 3 FGK clusters is the optimum cluster model with the largest Silhouette Index, which is 0.523. This research is expected to provide an in-depth analysis of customer segmentation for X guitar course.

누가 뉴스 맞춤화(customization)를 이용하며 시민역량에 어떤 영향을 미치는가? : 정향욕구, 뉴스 맞춤화, 의제다양성의 관계를 중심으로

본 연구는 뉴스과부하 시대에 대응하기 위한 뉴스 이용 방안으로 많은 시민들이 택하는 뉴스 맞춤화(customization)에 초점을 맞춰 누가 뉴스 맞춤화를 이용하는지 그리고 맞춤화 방식의 뉴스이용이 시민역량에는 어떤 영향을 미치는지 파악하고자 한다. 여기에서 뉴스 맞춤화는 최종 소비하게 되는 뉴스가 선택되는 구조를 설정하는 과정에 이용자가 명백하게 참여하는 행위를 가리킨다. 구체적으로 뉴스 맞춤화 이용정도를 결정하는 요인으로 정향욕구의 역할을 알아보았으며 맞춤화 이용이 영향을 미칠 수 있는 주요 시민역량으로 의제다양성에 집중해 연구했다. 분석을 위해서는 2019년 대한민국 성인 1,264명을 대상으로 실시한 설문조사 데이터를 이용했다. 연구결과 뉴스 이용자들은 뉴스의 주제와 매체에 대한 선호에 따라 맞춤화를 이용하고 있는 것으로 나타났다. 즉 이용자들은 자신이 특별히 관심을 가지고 있는 주제에 대한 뉴스만 골라 볼 필요, 많은 뉴스 출처 중 자신이 선호하는 것을 골라서 소비할 필요성에 따라 맞춤화 환경을 디자인한다. 정향욕구와 의제다양성의 관계를 파악하기 위해 연구자들은 정향욕구를 이슈정향욕구, 사실정향욕구, 평가정향욕구 등 세 가지의 차원으로 나누어 그 역할을 각각 알아보았다. 이슈정향욕구는 지속적이고 신속하게 주요 뉴스 이슈를 파악하고자 하는 욕구를, 사실정향욕구는 주요 뉴스 이슈와 관련한 사실에 대해 심층적이고 세부적으로 알고자 하는 욕구를, 평가정향욕구는 이슈에 대해 언론이 어떻게 판단하는지 의견을 파악하고자 하는 욕구를 의미한다. 분석 결과 이슈정향욕구가 높은 이들은 매체 맞춤화를 평가정향욕구가 높은 이들은 주제 맞춤화와 매체 맞춤화 모두를 이용하는 것으로 나타났다. 반면 사실정향욕구는 뉴스 맞춤화 이용과 통계적으로 유의미한 연관성이 없었다. 연구결과는 두 종류의 맞춤화중 주제 맞춤화 이용이 의제다양성에 부정적인 영향을 미칠 가능성을 보여준다. 주제 맞춤화는 이슈정향욕구와 의제다양성의 관계 그리고 평가정향욕구와 의제다양성의 관계를 부적으로 매개하는 것으로 나타났다. 하지만 매체 맞춤화와 의제다양성 간에는 의미 있는 관계가 발견되지 않았다. 맞춤화 이용이 시민의 의제다양성을 저해할 수 있음을 보여준 본 연구 결과는 뉴스 이용자나 뉴스 서비스 제공자가 뉴스의 기능과 역할에 대한 고민에 바탕 해 맞춤화 환경을 설계해야 할 필요성이 있음을 시사한다. 특히 뉴스 제공자의 경우 맞춤화 환경을 제공함으로써 이용자를 늘리고 이용자의 만족도를 높일 수는 있겠지만 환경감시, 사회통합, 상관조정 등과 같은 언론의 사회적 기능은 제대로 수행할 수 없다는 딜레마에 빠질 수밖에 없다. 본 연구는 그 함의에 대해서도 논의한다.

CRUPA: collusion resistant user revocable public auditing of shared data in cloud

Cloud repository is one of the most important services afforded by Cloud Computing where information is preserved, maintained, archived in distant servers and made available to the users over the Internet. Provided with the cloud repository facilities, customers can organize themselves as a cluster and distribute information with one another. In order to allow public integrity auditing on the information stored in semi-trusted cloud server, customers compute the signatures for every chunk of the shared information. When a malicious client is repudiated from the group, the chunks that were outsourced to the cloud server by this renounced customer need to be verified and re-signed by the customer present in the cluster (i.e., the straightforward approach) which results in huge transmission and reckoning cost for the customer. In order to minimize the burden of customers present in the cluster, in the existing scheme Panda, the semi-trusted Cloud Service Provider (CSP) is allowed to compute the Re−sign key. Further, the CSP audits and re-signs the revoked customer chunks by utilizing the Re−sign key. So, it is easy for the CSP by colluding with the revoked customer to find the secret keys of the existing customer. We introduce a novel Collusion Resistant User Revocable Public Auditing of Shared Data in Cloud (CRUPA) by making use of the concept of regression technique. In order to secure the secret keys of the existing customers from the CSP, we have allowed the information proprietor to compute the Re−sign key using the regression technique. Whenever the information proprietor revokes the customer from the cluster, the information proprietor computes the Re−sign key using the regression technique and sends to the CSP. Further, the CSP audits and re-signs the revoked customer chunks using the Re−sign key. The Re−sign key computed by the information proprietor using regression method is highly secure and the malicious CSP cannot find the private information of the customers in the cluster. Besides, our mechanism achieves significant improvement in the computation cost of the Re−sign key by information proprietor. Further, the proposed scheme is collusion resistant, supports effective and secure customer repudiation, multi-information proprietor batch auditing and is scalable.