Strength Of Strategies Research Articles

Advancements and Challenges in Optimal node localization for Energy-efficient data transmission in IoT assisted Wireless Sensor Network: A Survey

Optimal node localization is a key area of research focused on enhancing energy efficiency and data transmission accuracy within Internet of Things (IoT)-assisted Wireless Sensor Networks (WSNs). Despite advancements in localization methodologies, the field encounters significant challenges, including adapting to dynamic environmental conditions, managing energy constraints, and ensuring scalability across various network topologies. This survey provides a systematic review of around 30 research articles, focusing on the techniques used, challenges faced, and outcomes achieved in node localization for WSNs. By critically examining existing methods such as clustering, routing, and hybrid optimization approaches often integrated with machine learning this research highlights each strategy's strengths and limitations, providing insights into their applicability and effectiveness in real-world scenarios. Ultimately, the survey aims to guide future research toward developing more robust, adaptable, and energy-efficient localization solutions, contributing to enhanced network performance and prolonged sensor lifetimes in IoT-integrated WSN environments.

InstructNet: A novel approach for multi-label instruction classification through advanced deep learning.

People use search engines for various topics and items, from daily essentials to more aspirational and specialized objects. Therefore, search engines have taken over as people's preferred resource. The "How To" prefix has become familiar and widely used in various search styles to find solutions to particular problems. This search allows people to find sequential instructions by providing detailed guidelines to accomplish specific tasks. Categorizing instructional text is also essential for task-oriented learning and creating knowledge bases. This study uses the "How To" articles to determine the multi-label instruction category. We have brought this work with a dataset comprising 11,121 observations from wikiHow, where each record has multiple categories. To find out the multi-label category meticulously, we employ some transformer-based deep neural architectures, such as Generalized Autoregressive Pretraining for Language Understanding (XLNet), Bidirectional Encoder Representation from Transformers (BERT), etc. In our multi-label instruction classification process, we have reckoned our proposed architectures using accuracy and macro f1-score as the performance metrics. This thorough evaluation showed us much about our strategy's strengths and drawbacks. Specifically, our implementation of the XLNet architecture has demonstrated unprecedented performance, achieving an accuracy of 97.30% and micro and macro average scores of 89.02% and 93%, a noteworthy accomplishment in multi-label classification. This high level of accuracy and macro average score is a testament to the effectiveness of the XLNet architecture in our proposed 'InstructNet' approach. By employing a multi-level strategy in our evaluation process, we have gained a more comprehensive knowledge of the effectiveness of our proposed architectures and identified areas for forthcoming improvement and refinement.

SWOT Analysis In Strategy Sales Call on Sales and Marketing Department At The Hotel All Seasons Jakarta Thamrin

Purpose: This research reviews the sales call strategy on the room occupancy rate at the All-Seasons Jakarta Thamrin. The process of this sales call has strengths, weaknesses from within, and opportunities and threats from outside, which are presented in the results of the SWOT data processing technique consisting of IFAS and EFAS Matrix. Based on the analysis, it is known that the position of All Seasons Jakarta Thamrin is currently in quadrant I, namely the part of the Growth strategy or aggressive growth, with an IFAS score of 1.09 and an EFAS score of 0.59. Thamrin Hotel. This research aims to discover the sales call strategy's strengths, weaknesses, opportunities, and threats. Research methods: This research uses a descriptive research method Qualitative. To answer the problems encountered by collecting data. This is done by describing or describing the data that has been collected. The process of determining the sample was carried out by using purposive sampling with four respondents who were taken randomly. The products offered are rooms, meeting packages, and products. The skills mastered are communication, Public Speaking, analytics, and negotiations to create win-win solutions between guests and hotels. Result and discussion: This research shows that the room occupancy rate sales call at Hotel All Seasons Jakarta Thamrin has good internal strength and opportunities externally to seize the existing market. Although it still requires more teams to support operations. Apart from having a millennial concept, this hotel is also located in a strategic business district, department stores, and tourist attractions in downtown Jakarta. Prices negotiated during sales call activity can be an opportunity or a threat. Implication: Prices negotiated during sales call activity can be an opportunity or a threat. The asking price can be above the contract price. However, it can also be a threat because the asking price is higher than the standard room price that has been determined, and it is necessary to increase promotion and advertising and develop social media as an advertising tool to ensure comfort, profit, and flexibility of booking hotel rooms to salespeople. Keywords: Hotel, Occupancy, Sales Call, Strategy.

Witnessing Dickinson's Witnesses

Emily Dickinson's experimental poetic compositions present exceptional challenges to the textual editor using TEI to mark up Dickinson's manuscript writings, particularly in the realm of tagging variants and versions. Focusing in particular on her use of intratextual and subtextual variant words, phrases, lines, and line groups, this paper examines several different scenarios for tagging variants and discusses each strategy's strengths and weaknesses. Bearing in mind textual theories that stress the autonomous nature of textual versions produced by variation, this essay also imagines future computing tools that rely upon TEI‐conformant tagging to automate visual representations of variant versions. Ultimately, no entirely satisfactory method of encoding Dickinson's variants emerges, as more simple encoding strategies fail to capture Dickinson's complexities in a way that can generate automated display, and more complicated strategies produce awkward, cumbersome code and retain TEI's known difficulties with tagging multiple and overlapping hierarchies.

HYBRID SEARCH STRATEGIES FOR HETEROGENEOUS SEARCH SPACES

Recently, there has been much interest in enhancing purely combinatorial formalisms with numerical information. For example, planning formalisms can be enriched by taking resource constraints and probabilistic information into account. The Mixed Integer Programming (MIP) paradigm from operations research provides a natural tool for solving optimization problems that combine such numeric and non-numeric information. The MIP approach relies heavily on linear program relaxations and branch-and-bound search. This is in contrast with depth-first or iterative deepening strategies generally used in artificial intelligence. We provide a detailed characterization of the structure of the underlying search spaces as explored by these search strategies. Our analysis shows that much can be gained by combining different search strategies for solving hard MIP problems, thereby leveraging each strategy's strength in terms of the combinatorial and numeric information.

The Need for Common Principles in Prevention Programs for Children, Adolescents, and Families

This article provides a critique of the proposed Development-In-Context Evaluation (DICE) model as a prevention approachfor children, adolescents, andfamilies who are at risk. An analysis of the model's theoretical basis, referred to as developmental contextualism, is provided and the proposed prevention strategy's strengths and weaknesses are assessed. Although the DICE model offers a comprehensive approach to prevention and has many positive aspects, problems may result from disproportionate reliance on community involvement and a somewhat restricted role for university-based scholars. Insufficient attention is devoted to the identification of common pninciples for prevention strategies which generalize across local interests, foster equality of circumstances, andfunction to integrate the larger society.