Improvement of Resource Utilisation Through Forecasting, Planning, and Information Flow

Demand forecasting and production planning are challenging issues when working to supply perishable goods to fulfil supermarket requirements as opposed to dry goods that can be manufactured and have a fixed storage life. The focus of this report is on the improvement of resource utilisation through better forecasting, planning, and information flow. There is a fluctuation for labour demand within the processing function; controlling the number of staff daily is vital to the efficient running of production and waste reduction. It is the belief for the management that left unchecked the production planners can tend to overorder staff as a contingency.

IMPROVED MIN-SUM DECODING ALGORITHM FOR IRREGULAR LDPC CODES

Aналитический подход к определению оптимальной функции постобработки для минимальной операции в алгоритме MIN-SUM, ранее полученный для обычных кодов проверки на четность с низкой плотностью (LDPC-коды), распространяется на нерегулярные коды LDPC. Оптимальное выражение постобработки для нестандартного случая варьируется от одного контрольного узла к другому, а также от одной итерации к следующей. Для практического использования необходимо аппроксимировать эту оптимальную функцию. В отличие от обычного случая, когда можно было бы использовать уникальную функцию постобработки на протяжении всего процесса декодирования без потери производительности битовых ошибок, для нерегулярных кодов критически важно варьировать постобработку от одной итерации к следующей, чтобы добиться хорошей производительности. С использованием этого подхода было выявлено, что качество битовых ошибок от алгоритма распространения доверия соответствует улучшению на 1 дБ по сравнению с MIN-SUM алгоритмом без постобработки. Сначала будет представлен обзор подхода и представлена аналитическая основа для оптимальной постобработки. Далее будет представлена оптимальная функция постобработки для нерегулярных кодов и обсуждены возможные упрощения. И наконец, показаны результаты моделирования и преимущества аппроксимации We extended an analytical approach to determining the optimal post-processing function for the minimum operation in the MIN-SUM algorithm, previously obtained for conventional low density parity check codes (LDPC codes), to irregular LDPC codes. The optimal post-processing expression for the non-standard case varies from one control node to another, as well as from one iteration to the next. For practical use, it is necessary to approximate this optimal function. Unlike the usual case where one could use a unique post-processing function throughout the entire decoding process without sacrificing bit code performance, it is critical for irregular codes to distinguish post-processing from one iteration to the next in order to achieve good performance. Using this approach, we found that the quality of bit errors from the trust algorithm corresponds to an improvement of 1 level compared to the MIN-SUM algorithm without post-processing. First, we provide an overview and analytical framework for optimal post-processing. Then, we present the optimal post-processing function for irregular codes and discuss possible simplifications. Finally, we show the simulation results and the benefits of the approximation

The impact of verbal working memory on written translation: Empirical evidence and an initial model

Working memory refers to a metaphorical mental workspace involved in the temporary storage and processing of information which has been considered a key construct in Cognitive Translation Studies. This study investigates whether verbal working memory in the translator’s first and/or second language is related to written translation speed and quality. Through three selection tests, 33 student translators in the second or third year of their Master’s in Translation and Interpreting at nine Chinese universities were selected to participate. In the first test, processing and storage capacities of verbal working memory in their first and second language were assessed separately by means of a dual-task paradigm implemented in the e-Prime software suite. In the second study, participants translated a technical text from their second language to their first language. Their behavioural data were collected with a keylogger and the quality of their translations was evaluated by four expert translators. The correlation analysis suggests that the processing function of verbal working memory in the second language does affect logged translation speed; and that the processing function of verbal working memory in the first language has an effect on translation quality. Furthermore, through regression analysis, an initial model was established, which shows the precise structure of the impact of bilingual working memory on written translation. These findings have significant implications for translation skills training. It appears that additional verbal working memory training for both first and second languages would enhance the students’ translation skills.

Resumptive Pronouns in Language Comprehension and Production

Although the grammatical status of resumptive pronouns varies from one language to the other, these elements occur in spontaneous speech cross-linguistically, giving rise to a long-held intuition that resumption has a processing function, facilitating production and/or comprehension. In this review, I examine the central threads of thought related to resumption and processing and consider the prominent theories and findings that have shaped the discussion on this issue. I review grammatical and grammaticalization-based approaches to resumption and present the evidence suggesting that resumptive pronouns are a production artifact as well as the evidence that speaks in favor of or against the idea that resumptive pronouns aid comprehension. While the theory that resumption aids the producer receives straightforward support, the findings backing the claim that resumption helps the comprehender are much more equivocal, suggesting that in some cases resumption is not helpful and may even be detrimental to comprehension. Expected final online publication date for the Annual Review of Linguistics, Volume 7 is January 14, 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Lafadz Takbir's Translator as a Deaf-Based Deaf Aid

Speech recognition is a technique that allows a computer system to receive input in the form of a spoken word. The words are transformed into digital signals by changing sound waves into a group of numbers and then adjusted to certain codes and matched with a pattern stored in a device. The results of the identification of spoken words can be displayed in written form and can be read by technological devices. The tool in this study was designed to be able to help people with hearing impairment so they can participate in prayer in congregation in knowing the changing movements of prayer. This tool is designed with an Arduino Nano microcontroller board as a voice processing function received from speech recogniton. The results issued by this tool in the form of vibrations that will be directly felt by the user. Presentation of success will increase if the sound around the input is not too noisy. Presentation of success in the words "Allahu Akbar" reached 82%, "Sami'allahu Liman Hamidah" reached 90% and "Assalamualaikum Warahmatullahiwabarakatuh" reached 80%.