Production Of Items Research Articles

A Novel approach to component classifications and adaptation using Apriori algorithm

: With the growth in software development, the consumers of the applications are expecting high quality software services with lesser time complexity. Hence, the demand for software component based development is also increasing. In the recent past, a good number of research attempts have tried to build an automated framework for generating the recommendations for component equivalence. In software engineering and programming building, reusability is the utilization of existing resources in some structure inside the product item advancement process; these advantages are items and results of the product improvement life cycle and incorporate code, programming segments, test suites, plans, and documentation. The contrary idea of reusability is influence, which changes existing resources as expected to meet explicit framework necessities. Since reuse infers the making of an independently kept up variant of the advantages, it is favoured over influence. Further, realizing the importance of the phase wise identification of the software components. Thus, this work proposes a novel framework for building the software component reusability recommendation based on rule based analysis of the characteristics.

Experimental characterization of airflow within a pallet of product generating heat: Application for cheese product

This work aimed to investigate the airflow and temperature levels within a pallet of heat-generating product under steady-state conditions. A cheese product was simulated. An experimental device was used in which cheese was replaced by plaster camembert cheeses; each simulated camembert was equipped with a heating resistance to simulate heat generation by the product. The pallet was placed in an experimental room with controlled upwind temperature and air velocity. The air velocity within the pallet was measured by LDV (Laser Doppler Velocimetry). Two pallet orientations, two upwind velocities of 0.31 m s−1 and 0.73 m s−1 and two heat fluxes of 0.05 W and 0.30 W per product item with a mass of 0.25 kg were investigated and compared. This study provides a better understanding of the complexity of the airflow pattern related to natural and forced convection flows as well as the dynamic interactions under mixed convection. It can be applied to other living products such as fruit or vegetables that generate heat via respiration.

A Kullback–Leibler divergence-based fuzzy C-means clustering for enhancing the potential of an movie recommendation system

Recommender systems (RS) are systems that filter information and help users to choose products from a large amount of information available online. RS recommend satisfactory and useful products (items) like movies, music, books and jokes to target users that they are interested in. In collaborative filtering (CF) movie recommendation system, timeliness and accuracy are considered as an indispensable entity since it needs to aggregate the emotions, reviews and preference of users in an optimal manner for aiding them to determine suitable movies of their interest. The potential factor of accuracy and timeliness purely depends on the significance of the utilized CF methods with effective nearest neighbors for facilitating recommendation to the users. In this paper, Kullback–Leibler divergence-based fuzzy C-means clustering is proposed for enhancing the movie recommendation system. In this proposed KLD–FCM–MRS scheme, KL divergence-based cluster ensemble factor is included in the fuzzy C-means clustering methods for enhancing the stability and robustness in the clustering process. The improved sqrt-cosine similarity is also used to find the effective nearest neighbors for an active user. This proposed movie recommendation scheme is compared to the baseline approaches for investigation. The experimental results of the proposed technique confirmed a superior accuracy, recall value, mean absolute error with reduced time on par with the benchmarked schemes used for analysis.

Psychometric and Clinimetric Validity of the Modified 25-Item Sino-Nasal Outcome Test.

BackgroundProductivity losses are a significant part of the disease burden associated with rhinosinusitis, but existing measures of disease-specific quality of life exclude explicit assessment of the impact of the disease on productivity.ObjectiveThe objective of this study was to evaluate the clinimetric and psychometric validity of the 25-item Sino-Nasal Outcome Test (SNOT-25), a modified version of the SNOT-22.MethodsThis was a prospective cohort study conducted at an academic medical center. Participants included adult patients with rhinosinusitis who presented for routine visits to the Washington University in St. Louis School of Medicine otolaryngology clinic between August 2016 and March 2017.ResultsThe SNOT-25 was created with the addition of three productivity-specific items to the SNOT-22 instrument. A total of 120 rhinosinusitis patients completed all baseline measurements and 94 (78.3%) completed 3-month follow-up. The Cronbach’s α was 0.83, indicating high internal consistency. Rhinosinusitis patients had on average a 24-point higher baseline SNOT-25 score (95% confidence interval [CI]: 13–35) as compared to healthy controls indicating good discriminative validity. There was high correlation between SNOT-25 scores at 3 months and 3.5 months ( r = .81; 95% CI, 0.73–0.87) confirming strong test–retest reliability. SNOT-25 had a strong correlation with the overall score of the Nasal Obstruction Symptom Evaluation instrument ( r = .55; 95% CI, 0.42–0.65), and among Short Form-36 subscales, the strongest correlations existed between SNOT-25 and the fatigue scale ( r = −.522; 95% CI, −0.63 to −0.39). Exploratory factor analysis revealed that the 3 new questions of SNOT-25 loaded together with reduction in productivity and concentration items on a new “productivity” factor.ConclusionThe SNOT-25 is a valid instrument that can be used to assess rhinosinusitis disease burden including the impact on productivity and may be a better predictor of treatment decisions and outcomes.

Application of explosion treatment methods for production Items of powder materials

Application of explosion treatment methods for production Items of powder materials

Risk management of emergence of dangerous events on the basis of three-planimetric model of reliability of technological systems

The reliability of machine-building industry technological systems of is determined by the risks of hazardous events: failures of technological equipment, production items, executors of specified technological processes. The paper proposes the use of the G. Heinrich pyramid, built on the basis of the risks of technological system failures, which include primary failure, secondary failure, initiated failures, multiple failure, necessary to determine the significance of the influence of failure risks on the possibility of dangerous events. This is necessary for the organization of safe working conditions for workers through risk management of hazardous events based on a three-planimetric model for managing the reliability of technological systems. The authors have developed a three-planimetric model for managing the reliability of technological systems. The incident management process takes place on the first contour. According to the analysis of the statistics of incidents, the failure factors are managed on the second contour of the model. The third contour is process functionality management. The contours use the “Analytics” database, updating it and the database of possible options for technical solutions with the subsequent adjustment of operating conditions or methods for managing failure risks. Based on the obtained statistical information databases, solutions are being developed to manage the indicated risks of dangerous failures of technological systems. The control contour is closed in the cycle of technological system functioning and its risk management. Automation of the management process can be achieved through the use of resources of a machine-building organization and the development of an information management system for a unified technical condition monitoring system (UTCMS) based on the use of the three-planimetric control system.

Psycho productive skills multiple choice test items for assessing students in mechanical engineering craft in technical colleges in Nasarawa State, Nigeria

This study focused on the development and validation of psycho productive skill multiple choice test (PSMCT) for assessment of technical college students’ achievement in mechanical engineering craft. The study adopted the instrumentation research design and was conducted in Nasarawa State, Nigeria. The population of the study was 248 National Technical Certificate (NTC) III students comprising three capability groups (42 high, 140 average and 66 of low capability). A 305 item draft copy of psycho productive skills multiple choice test items was generated and utilized as the instrument for the study. The test was used to assess students in the four Government Technical Colleges in Assakio, Mada Station, Agwada, and Doma in the study area. The data collected were analyzed using split-half technique and Kadder-Richardson (K-R20). The reliability coefficient of the test was 0.84. It was found out that there were significant differences in the mean scores of the three ability groups. It was recommended among others, that examination bodies should integrate the psycho productive skill multiple choice test in their examination process for certification of NTC students. Key words: Mechanical engineering craft, assessment, psycho productive skills multiple choice test, technical college, students, Nasarawa State.

Using Product Network Analysis to Optimize Product-to-Shelf Assignment Problems

A good product-to-shelf assignment strategy not only helps customers easily find desired product items but also increases retailer profit. Recent research has attempted to solve product-to-shelf problems using product association analysis, a powerful data mining tool that can detect significant co-purchase rules underlying a large amount of purchase transaction data. While some studies have developed efficient approaches for this task, they largely overlook important factors related to optimizing product-to-shelf assignment, including product characteristics, physical proximity, and category constraints. This paper proposes a three-stage product-to-shelf assignment method to address this shortcoming. The first stage constructs a product relationship network that represents the purchase association among product items. The second stage derives the centrality value of each product item through network analysis. Based on the centrality of each product, an item is classified as an attraction item, an opportunity item, or a trivial item. The third stage considers purchase association, physical relationship, and category constraint when evaluating the location preference of each product. Based on the location preference values, a product assignment algorithm is then developed to optimize locations for opportunity items. A series of analyses and comparisons on the performance of different network types are conducted. It is found that the two network types provide variant managerial meanings for store managers. In addition, the implementation and experimental results show the proposed method is feasible and helpful.

The Impact of Proactive and Reactive Focus on Form in Multimodal Settings on EFL Learners' Comprehension and Production of Modal Auxiliaries

The major objective of this experimental research was to assess the differences between two varieties of focus on form instruction, namely proactive and reactive across multimodal vs. traditional input settings in both comprehension and production of modal auxiliaries. The participants of the study were 75 Iranian English as a foreign language (EFL) high school students at the elementary level in three classes. The students in each class took part in a pre-test including both comprehension and production items. Then, they were randomly exposed to one of the three types of grammar instruction, i.e. proactive focus on form in which students were exposed to multimodal input through preplanned techniques of input enhancement and input flood, reactive focus on form in which the tasks occurred in multimodal episodes including negotiation and correction by the instructor through recasts, clarification requests, and repetition techniques. Lastly, in the control group, the students were provided with a pamphlet and their teacher’s explanations. The post-test was then administered to the three groups, and the results were analyzed by conducting a one-way-analysis of covariance (ANCOVA) which revealed a significant difference among these three groups. The results showed that the proactive group outperformed the reactive and control groups both in the comprehension and production of modal auxiliaries. At the end of the experiment, a brief survey which was accomplished through an interview revealed that the majority of the students highly favored PowerPoint presentations, teacher's explanations, and video clips respectively.

Development of an IoT Based Shopping Trolley

The modern technology has augmented the quality of living for the humans. There has been an emerging demand for fast and straightforward payment of bills in supermarkets. People crave for a high quality with modern technology in everything we tend to use in our daily lives. This project describes the way to build an automatic and time saving system for the globe of retail which can build shopping experience impetuous, client friendly and secure. In the reality, shopping at super markets, malls has resulted in massive crowds to long lines at the billing counter as a result of the cashier has got to scan each product item then enter it into the billing record. The existing billing system may be a bit time overwhelming and that’s where the thought of IoT based Automated Shopping Trolley –a remedial electronic product to catch-up with this downside emerged. This is supported by Raspberry Pi fitted with a LED screen and QR scanner and a wireless technology referred to as Bluetooth. The digital display(LED) used may be a 16x2 and Bluetooth modules build the wireless network to figure simply between a particular ranges. A unique product with social acceptance is that the one that aids the comfort, convenience and potency in standard of living. The temporary description of its operation is, after you choose a product and drop it into the trolley, the QR scanner scans the product’s distinctive code and its worth.. Card payment facility is also made available below the LCD display. If payment is via cash then he/she has to visit the counter and pay the bill as displayed on the LCD screen fit. This will save the time that was earlier being consumed to scan each item. The entire system will work on RFID tags. The entire database and product info is stored using Cloud Technology. Anti-theft protection is enabled. Indoor Navigation facility is also enabled.

Highly efficient parameter estimation algorithms for Hammerstein non‐linear systems

Hammerstein system identification is difficult because there exist the product items of the parameters between the non-linear block and the linear block. This study presents a novel parameter separation based recursive least squares (PS-RLS) identification algorithm for resolving this problem. Its basic idea is to use a linear filter to filter the output data and the noise, and then to obtain two new identification submodels in each of which the output is linear in the corresponding parameter vector. Compared with the over-parametrisation based recursive least squares method, the proposed algorithm can avoid estimating the redundant parameters and has a higher computational efficiency. The simulation results show that the proposed PS-RLS algorithm can generate highly accurate parameter estimates with less computational effort.

Top-k Recommended Items: Applying Clustering Technique for Recommendation

This research proposes the Top-k Items Recommendation System which uses clustering techniques based on memory-based collaborative filtering technique. Currently, data sparsity and quantity of system are problems in memory-based collaborative filtering technique. We offer recommend or show some items set for user’s preference. In this research, we propose methods for recommended items set to user preference on data sparsity, movie lens datasets (1M) consisting of 671 users and 163,949 product items were used by determining the preference level between 1 and 5 and user satisfaction levels of all 98,903 items being build and test the models. Methods was divided into three parts included 1) Simple Agent Module 2) Neighbor Filtering and 3) Prediction and Recommend. Simple clustering was used to create a system to provide suggestions for sparsity data. Datasets obtained from clustering represented the sample agent of dataset to being create the recommendation system. Datasets were divided into two categories, 1) Traditional Data (TD) and 2) Statistic Data (SD), and each dataset clustered by k-means clustering. The experimental results demonstrated that the number of item types in the system were recommended in the TD and Euclidean (DIS). DIS was used to find the nearest value in TD for the item list recommendation to active users in the system with the a lot of number choice of recommendation system.

ANALISA PENGENDALIAN PERSEDIAAN GUDANG BARANG JADI DENGAN ANALISA ABC PADA PERUSAHAAN CAT PT. PR

This research was conducted at a company that produces paints such as wall paint, tile paint, floor paint, steel construction paint and many other types of paint. In addition to these types of paint, color and size are additional factors that cause high product variants. Inventory management with ABC analysis is very necessary to control a number of inventories by taking into account the value of the investment. Based on company conditions and literature, the purpose of this study is to be able to classify inventory in the company and be able to determine inventory control based on ABC classification. The research method is divided into four stages, namely data formulation, data collection, data processing, and analysis and conclusions. Data processed is in 2016, available product variants are 941 items with a total product value of Rp 15,477,094,182.00. The results of ABC analysis are 124 product items or 13.18% A class, 211 product items or 22.42% B class, and 606 product items or 64.40% C class of the total number of products available.Key words : Paint, Inventory Control, ABC Classification

Particle Swarm Optimization and Pure Adaptive Search in Finish Goods’ Inventory Management

Inventory management deals with a tradeoff between the benefits of keeping stocks of goods that allows fulfillment of the customer’s demand, and the cost of carrying inventory. Inventory control techniques are very important components and the most organizations can substantially reduce their costs associated with the flow of materials. This paper presents new inventory management model based on particle swarm optimization and pure adaptive search global optimization algorithm in production-inventory system. The proposed model is focusing on planned level of demand for finished goods, production and raw materials cost, production capacity as the norm, change of the production cost and inventory capital cost, all of which are typical factors in automobile manufacture industry. The model determines different factors such as the minimizing inventory quantity, minimizing inventory value, and minimizing production cost based on demand for production items. The model is tested with original real-world dataset obtained from the automotive company Lear from US and its factory in Novi Sad, Serbia.

Cosmopolitanism, Materialism, Consumer Ethnocentrism and Consumer Behaviour: Evidence from Aboriginal Tripuri Tribe of India

Culture plays an important and complex role in shaping consumer behaviour. This article attempts to appraise the role of culture in determining consumer behaviour of the aboriginal Tripuri tribes. Cultural aspects are measured by three globalization-linked cultural dispositions: cosmopolitanism (COSMO), materialism (MAT) and consumer ethnocentrism (CET). Consumer behaviour is measured by the importance a consumer attaches to purchase/use of a particular product. A total of 39 product items from seven product categories are evaluated. The categories included are global foods, global fashion, local foods, luxury items, appliances, technology and electronic items, and networking platforms. Collecting and analysing data from 702 Tripuri tribes, this study concludes that CET is the most dominant construct among Tripuri tribes. CET and COSMO also had significant roles in shaping consumer behaviour. COSMO is observed to have a significant positive association with both MAT and CET. No significant association is observed between MAT and CET. Tripuri tribes’ income class, religious belief, nature of residential location and dominating culture of the location are observed to have significant impact on shaping COSMO, MAT and CET tendencies. The study also concludes that it is not desirable for firms to utilize generalized findings related to impact of globalization-linked cultural dispositions in shaping consumer behaviour in their marketing strategy for specific niche groups like aboriginal tribes in India.

Global challenges to functioning of precious gemstones market

The peculiarities of gemstone market functioning under the impact of globalization are examined. Modern condition of financial stabilization in world is defined and main features of gemstones are outlined. Negative impact of illegal market on socio-economic development of countries, namely on revenues to the country’s budget from the business, is revealed. The importance of the problem of transferring most of gemstones processing operations beyond the countries of production is emphasized. Poor public control over the circulation of precious stones is proven. The challenges are substantiated to be aggravating under the impact of globalization. The diamonds market, which has peculiar high demand, is analyzed: diamonds and derivatives account for 85% of global turnover. Application of managerial strategies for gemstones market to efficiently use resources is defined to be complicated by the fact that managerial strategies impact the high cost of product items and its variability; unique features; intangible qualities; complicated processing. More environmentally friendly production and social responsibility are confirmed to have impact on forming of demand on gemstones. Investment attractiveness of gemstones, except for diamonds, is proven to be low. Condition of production and consumption of diamonds is analyzed. Development condition of the market segment – non-diamonds gemstones – is shown. The activity of small enterprises and households engaged in gemstones production is confirmed to be characterized by chaotic and complicated nature of broker networks, leading to aggravated global challenges. The paper defines that expansion of spectrum and emergence of new opportunities for illegal activity, reduced income and loss of other types of economic benefits, growing negative ecological and social impact, growing exploitation of workers at illegal enterprises remain to be the global challenges of gemstones market functioning. The author suggests increasing of social and ecological responsibility of business, strengthening of the state regulating functions and promotion of gemstones market legalization in order to reduce the challenges.

The experience of the SC «Borovitch Refractory Works» production application at the SC «Oskol Electrometallurgical Works»

The results of the cooperation between SC «Borovitch Refractory Works» and the SC «Oskol Electrometallurgical Works» (SC OEW) with regard to the supplying and operational activity of the wide range of the refractory production items are given in the article. The basic development trends are pointed out which can improve and optimize the physical and chemical parameters of the supplied refractories. The main innovative refractory materials and the completed projects are regarded which have amended the technical and economic indexes of the heat vessels at the SC OEW engaged at the main metallurgical processing stages.Ill.7. Ref. 4. Tab. 5.

A comprehensive analysis of warranty claims and optimal policies

Nowadays many products, such as 3C products (Computer, Communication and Consumer Electronics) and cars, consist of software and hardware. The causes of warranty claims of such products may be attributed to software specific failures, hardware specific failures, software-hardware interaction failures and human errors. Apparently, those causes may be dependent. For example, one may claim warranty due to the malfunction of the embedded software in a product item and then the entire item may be replaced. Nevertheless, the existing research on warranty management studies mainly concentrates on warranty analysis of hardware subsystems, assuming that the warranty claims are statistically independent of those caused by the failures of software subsystems or human factors, that is, the interactions between those causes are neglected.This paper investigates warranty costs incurred due to those three subsystems with a focus on their interactions. It estimates the costs due to different cause, develops integrated warranty cost models and optimises warranty policies considering the above possible combinations. Numerical examples are given to illustrate the proposed models.

ESTABLECIMIENTO Y OPERACIÓN DE UNA GRANJA INTEGRAL AUTOSUFICIENTE, SOSTENIBLE Y ECOLÓGICA.

El Proyecto se realiza en la población de San José de Saco, corregimiento del municipio de Juan de Acosta (Atlántico). Se trata del diseño de una granja integral autosuficiente, sostenible y ecológica en un terreno de dos (2) hectáreas, seleccionado por su calidad de suelo, disponibilidad y experiencia del propietario, potabilidad del agua y recursos del medio disponible. Se pretende integrar diversos rubros de producción agrícola (hortalizas, maíz, yuca, frutales, pastos y plantas medicinales) y pecuaria (gallinas, conejos, cerdos, cabras y bovinos) que alternativamente garanticen auto-sustentabilidad, generándose un ciclo en el cual el componente agrícola se beneficia del pecuario y viceversa. A través de un proceso elaborado por el lombricultivo se fertiliza el suelo. Desde el punto de vista financiero, el Proyecto es viable y factible, pues los gastos son mínimos y se dispone de un pequeño capital para cubrir gastos de inversión inicial. Se garantiza el cubrimiento de la demanda de alimentos en calidad y cantidad para las necesidades de la familia residente y de la granja en su totalidad. Se recomienda un plan de rotación de cultivos para evitar la pérdida de fertilidad del suelo

HANDMADE LAMPS FROM TYRAS

The publication considers handmade lamps from Tyras, which are stored in the scientific funds of the Institute of Archaeology of the NAS of Ukraine and Bilhorod-Dnistrovskyi Local History Museum. Lighting devices are divided into five types by shape: from semi-closed post-Hellenistic forms with an elongated nozzle, to wide-open forms, so-called boat-shaped lamps. Of particular interest are several rare forms (the 6th type) that are difficult to correlate with any type. All items in this publication are dated by the period from the 4th century BC to the 4th century AD. In addition, the authors managed to find similar analogies not only in the North-Western Black Sea region, but also beyond its borders.
 Handmade lamps were not items of mass production and were not intended to be widely traded. Nevertheless, they were used not massively, at a considerable area from the Northwest Black Sea coast to the Cimmerian Bosporus during the period from the 4th century BC to the 4th century AD. The abovementioned lamps, unlike certain types of handmade wares, can not be used as an ethno-indicative feature. During the periods of political and economic destabilization, the decline of crafts and trade could have led to the need for the production of handmade wares and lamps in particular.