24 research outputs found
A simplified, non-rigorous, tabular classification of clay minerals with some explanatory notes
No full textThe smart safety Shoe: A new type of safety shoe that helps prevent lower back problems and opens the door to a new era of preventive safety footwear
No full textThe smart safety shoe is a concept safety shoe that has been in development as a collaboration between Allshoes safety footwear and TU Delft since 2020. Previous work on the shoe consisted of 2 graduation projects and a student course which resulted in the current concept of an injury preventing safety shoe focused on preventing lower back pain in the logistics sector. The shoe works by using pressure sensors and machine learning to detect unhealthy postures while its wearer has to lift various objects as part of their job (manual handling). This project focused on further developing the concept of the smart safety shoe and evaluating the prototypes from the last two projects. Previous projects provided two different pressure sensor layouts which are evaluated using a high-end pressure sensing insole. A manual handling experiment was set up and performed on 16 different participants from a lab and a warehouse. During testing participants were instructed to perform manual handling while holding 5 different postures. It was possible to train a machine learning model using the various pressure profiles gathered from the experiment. Using this model, the two sensor layouts from the previous projects were evaluated for their ability to detect the 5 predetermined postures. It was found that the latest layout outperformed the previous one and was therefore selected for further development of the smart safety shoe.The integration of various other sensors and actuators was evaluated, and the core functions of the shoe were defined with an indication towards future improvements of the smart safety shoe.The shoe has now been publicly presented by Allshoes and the goal is to have the product on the market by the end of 2025. In order for this to happen further prototyping is needed to create an improved machine learning model based on the selected sensor layout. The shoe shows promising responses from current safety shoe clients. When finally launched it will be part of a new type of protective equipment focused on prevention.Design for Interactio
Artificial Intelligence for marketing plan: the case for e-marketing companies
No full textУ статті узагальнено аргументи та контраргументи в рамках наукової дискусії щодо застосування штучного інтелекту
(ШІ) при підготовці маркетингового плану в Інтернеті. Систематизація літературних джерел та підходів до вирішення
проблеми застосування маркетингових інструментів засвідчила, що ШІ дозволяє підвищити ефективність проведення
аналізу конкурентоспроможності компаній, оцінювання стратегій конкурентів, планування маркетингового бюджету та
моніторінгу його виконнання тощо. Виявлено проблеми ШІ, які можуть вплинути на ефективність діяльності компаній.
Метою роботи є дослідження можливостей використання ШІ при підготовці маркетингового плану компанії. Для досягнення
поставленої мети, дослідження проведено у наступній логічній послідовності: 1) формування стратифікованої вибірки
дослідження на основі статистичних даних 141 компанії в різних галузях; 2) аналіз даних за допомогою програмного
забезпечення SPSS; 3) аналіз можливостей застосування ШІ при підготовці маркетингового плану; 4) визначення етапів
процесу підготовки маркетингового плану на основі можливостей ШІ. Об’єктом дослідження є компанії Королівства
Саудівської Аравії. Практичну реалізацію всіх етапів дослідження здійснено з використанням статистичних методів
множинної регресії та тесту Фрідмана. Дослідження емпірично підтверджує та теоретично доводить, що ШІ має суттєве
значення у процесі розробки маркетингових планів завдяки можливостям аналізу зовнішнього середовища та стратегій
конкурентів, а також формування маркетингових цілей компанії. При цьому ШІ може застосовуватись у підготовці та оцінці
бюджету та маркетингового плану, а також здійснювати подальший моніторінг їх виконання. У ході дослідження автор
приходить до висновку, що ШІ сприяє кращому розумінню цільових ринків та аудиторії, дозволяє підготувати відповідні
стратегії. Наведено практичні рекомендації щодо особливостей застосування ШІ при підготовці маркетингового плану
компанії.This paper summarises the arguments and counterarguments within the scientific discussion on
artificial intelligence (AI) in preparing a marketing plan for e-marketing organizations. This research aims to identify
the extent of the contribution of AI in preparing the marketing plan. The author noted that intended to know how emarketing companies could use AI techniques in situation analysis, analyze competitors' strategies, strategic goals,
preparing marketing strategies, preparing an estimated marketing budget, and control a marketing plan.
Systematization of the scientific background and approaches on preparing a marketing plan for e-marketing
organizations indicates that many companies, especially small companies, marketing their products via the Internet,
cannot develop a successful marketing plan. In turn, it could be solved through the use of AI techniques. The study
was conducted on a group of companies that market their products via the Internet in the Kingdom of Saudi Arabia.
To gain the research goal, this study was carried out in the following logical sequence: 1) developing the stratified
sample by collecting statistical information for 141 company in a variety of fields; 2) analyzing the data using SPSS;
3) predicting how AI could be used in preparing the marketing plan; 4) identifying the arrangement of the steps for
preparing the marketing plan in terms of the ability of AI techniques. The methodological tools of the study were
methods of the multiple regression analysis and the Friedman test. The study empirically confirms and theoretically
proves that AI contributes significantly in developing marketing plans through its great contribution to environmental
analysis and analysis of competitors' strategies and setting marketing goals. Besides, AI contributes to preparing the
budget and appreciating the marketing plan, to its evaluation and control. The author mentioned that AI provides
understanding and selecting target markets and sectors, targeting customers, and preparing appropriate marketing
mix strategies for each market sector. Therefore, the study provides recommendations to online organizations to
use AI in preparing their marketing plan because of its great ability to contribute to this
Stresses at the Intersection of Sphere and Cylinder by a Variant Finite-Difference Method
No full textThe aim of this paper is the determination of stresses at the intersection of cylinder with the sphere using a variant finite-difference technique. Mesh lines are drawn on the cross section of the body which are roughly parallel and perpendicular to the boundary, and which the author calls natural meshes. Discretization of the governing differential equations must be carried out to reduce the continuous problem to a discrete problem, this discretization converts the problem into a set of linear simultaneous equations for the functions under consideration at a set of mesh points. The derivatives to be inserted in the governing equations and boundary conditions are found by writing Taylor series expansions at a point in terms of five neighboring points in the case where the point is an internal point (four for a boundary point). By an elimination process the derivatives can be eliminated for each point, and we are left with the unknown functions only.</jats:p
EVALUATION OF THE SINKHOLE HAZARD AT ALISSAWIAH SOUTH OF QURAYAT GOVERNORATE, JOUF REGION, KINGDOM OF SAUDI ARABIA
No full textProyek Pembangunan Jalan Tol Bekasi - Cawang - Kampung Melayu (BECAKAYU) Seksi 2A Ujung
No full textDalam masa perkuliahannya di Perguruan Tinggi, Mahasiswa banyak mempelajari teori mengenai ilmu-ilmu di bidang yang ditekuninya. Namun Mahasiswa juga dituntut agar dapat
mengaplikasikan teori-teori yang didapatkannya di perkuliahan untuk diterapkan ke dalam pelaksanannya di lapangan. Salah satu yang dijalankan oleh Departemen Teknik Sipil Insitut Teknologi Sepuluh Nopember adalah dengan Kerja Praktek. Penulis berkesempatan melakukan kerja praktek di Proyek Pembangunan Jalan Tol Bekasi – Cawang – Kampung Melayu Seksi 2A Ujung.
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During their studies at University, students study a lot of theory regarding the sciences in his field of interest. However, students are also required to do so
apply the theories he gets in lectures to be applied inward
implementation in the field. One of which is run by Civil Engineering Department Sepuluh Nopember Institut of Technology is by practical work. The author had the opportunity to do practical work on the Road Construction Project Bekasi - Cawang - Kampung Melayu Toll Road Section 2A Ujung
Simulation and optimization model for electrical substation construction
No full text© 2018 The author(s). One of the most complex construction projects is electrical substations. Construction of electrical substation includes civil works and electromechanical works. The scope of civil works includes construction of several buildings divided into parallel and overlapped working phases that require variety of resources and are generally quite costly and consume a considerable amount of time. The construction industry is becoming increasingly competitive over the years, whereby the need to continuously find ways to improve construction performance. In order to address the aforementioned adversities, this paper takes the initial steps and presents simulation and optimization model for the execution processes of civil works for an electrical substation using a data base excel file for input data entry. The input data include bill of quantities, resources breakdown, maximum available resources, production rates, unit cost of resources and indirect cost. The model is built on Anylogic software using discrete event simulation method. The model is divided into three zones working in parallel to each other. Each zone includes a group of buildings related to the same construction area. Each zone-model describes the execution process of each building in the zone, the time consumed, percentage of utilization of equipment and manpower crews, amount of materials consumed, total direct and indirect cost. The model is then optimized to mainly minimize the project duration using a parameter variation experiment and a genetic code implemented using Anylogic platform. The models were then tested on a real case study in Egypt. The models prove efficiency by attaining a reduction in model time units between simulation and optimization experiments of 10.25% and reduction in total cost of 4.7%. An analysis to determine the effect of each resource on reduction in cost was presented. However, the model is limited to the scope of civil works, without considering the electromechanical works and the effect of risk factors on time and cost
Author Correction: COVID-19 infection segmentation using hybrid deep learning and image processing techniques
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