Cold-Chain Logistics Big Data Problems Based on Food Safety Research

Through the analysis on internet of things (IOT) technology, logistic information system and information perception technology, according to the requirements of modern logistic information technology and information status perception development in environment of internet of things, suggest the solution for building logistic system information perception model in the environment of internet of things. The logistic system information perception model is a combinational application of RFID （Radio Frequency Identification）, internet technology and telecom technology, to build a three layer system structure of physical layer, network layer and information perception, by KBI (Key Business Index) to connect precaution affairs for each monitoring object during the logistic business flow, represent the business status by evaluation according to the regulations, establish an information perception model integrated with four cycles of information collection, event normalization, correlation analysis of information as well as warning & processing, and by evaluation method of periodicity factor for logistic information perception to quantitively evaluate on each information perception model. By example of calculation of evaluation model for periodicity factor, the logistic system information perception model in the environment of internet of things proves to be feasible.

With the rapid development and frequent application of information and communication technology (ICT) in different industrial sectors, the production and manufacturing process relies more on ICT. ICT significantly increases the quality of service and productivity while it comes together with information security risks. As an essential part of a nation and economy, agriculture is provided with many ICT applications. ICT greatly contributes to the weather climate forecast, pest or disease prediction and so on to improve crop yields and food safety. The revolution of the fourth industry accelerates the application of ICT in agriculture and the development of smart agriculture. Smart agriculture is highly based on ICT to improve productivity and reduce waste, loss, and cost, such as big data, sensors, the Internet of things (IoT), artificial intelligence (AI), cloud computing, and so on. All these changes and applications of ICT bring together information security risks. Based on the literature review and content analysis as research methodology, this paper concluded that information security risks are serious and inevitable in agriculture or food security. Therefore the need for information security risks management is significant in agriculture and food security.

A logistics information service manages a large amount of products and product transport flow. Many applications request logistics information from a logistics information service. For effective sharing of logistics information and knowledge, the design of a logistics information management system is important. The current web is changing to a semantic web that provides a common framework for data sharing. In this paper, we present a logistics information service architecture that supports a semantic web. Our logistics information service deals with RFID-sensed data and product-related data such as attribute, and containments. Logistics data is represented using the RDF for service to various applications.

All-for-one tourism is a new mode of regional development, which can promote the coordinated development of economy and society. Due to diverse tourism information sources and scattered data services, the real-time and effectiveness of tourism information service is insufficient, and the “information island” is numerous. In order to integrate and share information resources effectively, and achieve the intelligentialized and real-time all-for-one tourism information services, this paper proposes a systematic framework of all-for-one tourism information system, where tourists and tourist destinations are considered as all-for-one tourism digital ecosystem. The whole mode of this framework was combined with four levels and two parts. Some advanced information technologies such as big data, cloud computing and mobile internet application development were utilized to construct tourism digital ecosystem. How to implement all-for-one tourism information collection, integration, processing and sharing was discussed and the corresponding solution was provided.

The present study aimed to determine the risk levels affecting food safety and security in foods distributed to earthquake victims by organizations. This descriptive and cross-sectional study was conducted in food distribution organizations in Kahramanmaraş and Hatay between 20–24 February 2023 (N = 40). The data were collected face-to-face by using the Descriptive Data Form and Food Safety and Security Observation Form (FSSOF) developed by the researchers. According to FSSOF, organizations had a 41.6% risk concerning food safety and security. According to the multiple linear regression analysis, organizations that did not control the foods were found to be associated with an increased total score of FSSOF (β: -0.527, p = 0.010). No relationships could be found between the type of organization, the population served, having a food technologist and/or dietitian, the distance between the organization and waste, and the total scores of FSSOF (p > 0.05). The organizations that did not control the food were found to be associated with Organization-specific conditions (β: -0.623, p = 0.002), Food distribution conditions (β: -0.531, p = 0.015), Personnel hygiene (β: -0.608, p = 0.005), Food security (β: -0.480, p = 0.036) and Environmental conditions (β: -0.537, p = 0.018) were found to be associated with an increased level of risks. Also, not having an engineer and/or dietitian was associated with an increased risk of Food storage practices (β: -0.469, p = 0.005), and increased the number of staff was associated with an increased risk of Organization-specific conditions (β: 0.348, p = 0.007). The level of risk of the organizations concerning food safety and security was found to be relatively high. Control of the food provided was the most important determinant of food safety and security.

As the number of patients treated in-home are increasing exponentially mainly in countries such as Japan, US A and Europe etc., these people often enter into a critical situation that may require help immediately (e.g. when facing an accident, or becoming depressed). Researches and Advances in computing areas and the Internet of Things (IOT) have provided efficient and cheap equipments including wireless communication and cameras, such as smart phones or embedded devices that enable the deployment of Health S mart Homes (HS H) that can provide medical treatment of patients in their homes. The images captured from these cameras can help nurses or caretakers of patients to provide timely help. The use of such patient images and emotional detection to assist patients and elderly people within home is provided in this article. Internet of Things and Cloud computing can work together, which can address to the Big Data problems. Big data is actually a term used for a huge data set that performs operations like storage of data, analysis, sharing, transfer, predictive analysis; updating etc. data set can grow rapidly. Data sets have different analytics on data that involve process of inspecting, transformation and modeling of data so as to discover new information, and to reach on some particular decision. There are some particular data analysis techniques from which data mining is a popular one which focuses on modeling and discovery of new facts. The discovered knowledge helps in predictive analysis purposes as well as text analysis. Further on data mining is performed on data set which involves discovery of patterns by applying different operations at databases, and using artificial intelligence, machine learning, statics etc. Keywords: Cloud computing, IOT, AI, face recognition, big data, data mining.

Food security is highly reliant on agricultural activity to drive the world economy. However, this activity is in great danger due to climatic changes and improper use of irrigation techniques. Consequently, the lives of numerous individuals worldwide are in jeopardy. In light, this paper investigates the promise of smart irrigation systems based on new technology. To meet the growing demand for water in agriculture, this study presents an intelligent irrigation system that uses cutting-edge technologies of (1) cloud computing, (2) embedded systems, and (3) Internet-of- Things (IoT). The main objective is to demonstrate how this innovative strategy can effectively manage water resources, supporting food security through cutting-edge agricultural technology. This paper proposes a smart irrigation system based on cutting-edge technologies like the embedded system, Internet of Things (IoT), and cloud computing as a groundbreaking strategy to improve food security through the implementation of advanced agricultural technology. This system supervises real-time monitoring of crucial environmental factors such as (1) moisture, (2) humidity, (3) temperature, and (4) water levels, in smart agriculture practices. In addition, this system employs the latest sensors, including the module (DHT22), water level sensor, and moisture sensors, which are connected to the widely used embedded system (ESP32). The system uses the ThingSpeak cloud and ThingView app to enable wireless communication between the device and the farm owner, enhancing their interaction. The automated control of the two water pumps is based on the readings of various environmental factors. Moreover, this will also present a mathematical-driven function known as linear interpolation to calibrate the water level sensor in percentage. This system was created using the V-model software development approach. and conclusion. Farmers can access comprehensive farm data from anywhere in the world as the sensor data is transmitted in real-time to both the ThingSpeak cloud and the ThingView. This capability allows for more precise crop irrigation and increased production. The study’s findings demonstrate a striking 70% reduction in water consumption for soil irrigation when utilizing the proposed smart irrigation system. This paper underscores the significant promise of smart irrigation systems, driven by IoT, embedded systems, and cloud computing, to conserve water resources and advance food security. This article proposes an innovative solution that reduces soil irrigation water consumption by 70% compared to traditional methods. It explores how smart irrigation can improve the sustainability of agriculture and positively influence food security.

In today's intelligent era, big data has become one of the most important weapons in various industries. Based on big data and related technologies, smart logistics has great advantages in improving logistics efficiency, reducing logistics costs and improving user experience satisfaction, so it represents the development direction of logistics mode. Intelligent logistics information platform supports the efficient operation of intelligent logistics. The platform integrates all kinds of logistics information and resources, uses advanced information technology and intelligent technology, operates supply chain logistics in an integrated way. By integrating all kinds of logistics information and resources and applying artificial intelligence technology, the intelligent logistics information platform can provide highefficiency, low-cost and integrated logistics services, and promote the development of local economy.

Big data to use JAVA, group software engineering, networking, cloud computing knowledge and technology. The purpose of this paper is Research on Wireless sensor network of the Internet of things. The Internet of things, mainly includes multicast network, ZIGBEE network, WSN network, Bluetooth network, infrared network and so on. Swarm software engineering is a way to implement cloud computing, Internet of things and big data. Cloud computing comes from big data, the Internet of things can be achieved through cloud computing. This paper mainly studies, computers, software, networks, smart cities, and the use of Excel and Matlab and Microsoft Office Visio 2003 mapping and so forth. And through the practice of research methods, including automotive networking and smart city. What is the Internet of things, objects connected to the Internet is the Internet of things, cup networking, car networking. Things better than other networks, is composed of what objects, what composition, what nature, what innovation and superiority. The four key technologies of the Internet are widely used, and these four technologies are mainly RFID, WSN, M2M, two kinds of integration. RFID can be implemented using MATLAB, NS2, and JAVA, and WSN can be implemented using NS2, and M2M can be developed using JAVA. The research results are that the Internet of things originated and developed in the Internet; on the contrary, the development of the Internet of things further promoted the Internet to a more widespread “Internet” evolution. The Internet of things and the Internet are the relationships between the parent and the child. Wireless networks are just like wireless WSN networks, but wireless nodes are fixed and moved into sensors. The Internet of things includes Internet technology, including wired and wireless networks. The research conclusion is the wireless internet of things are just like the wired internet of things, wired provides the basis for Wireless Research. Baidu Tiangong Internet of things platform, Amazon AWS platform, ERP and so on are also important applications of the Internet of things. The use of mirroring and replication software also requires Internet of things. Video is composed of multi frame images. H.264 and JM encoder are also the future directions. Where to go network Ctrip network is the application of the Internet of things. Recalling what we do today, planning tomorrow, how to spend the university stage and predicting the future of university development can be the application of the Internet of things. I visited the Tangshan Rd. Mart store in Qian’an from January 2017 to March. The feeling is that Beijing is still Carrefour and Jing Kelong and WAL-MART and Hualian. The electricity supplier which Ma Yun’s Alibaba still feels more powerful. Now Hebei province and all parts of the country have venture capital and subsidy, which will undoubtedly promote the Internet of things.

We are witnessing unprecedented, swift transformations across all industries in the current era. Advancements in information and communication technology have provided us with a tremendous opportunity for change. Our research delves into the profound impacts of digital transformation, extending beyond the public sector to encompass a variety of fields. The public sector, in particular, is experiencing its own set of transformations and changes. Our research offers an in-depth analysis of digital transformation in the public sector, with an emphasis on the key technologies driving this evolution. These include artificial intelligence and machine learning, the Internet of Things (IoT), cloud computing, big data and analytics, digital twins, robotic process automation, augmented reality, and the metaverse. We thoroughly conceptualize these technologies, assessing their relevance and impact on the public sector. Moreover, we identify the potential challenges and present diverse global examples. Our findings reveal that technologies such as artificial intelligence and machine learning (including Generative AI, ChatGPT, and Google Gemini/Bard), IoT, cloud computing, big data and analytics, digital twins, robotic automation, and augmented reality are pivotal in enhancing or creating new value propositions. These technologies have shown remarkable efficacy in elevating the quality of services between individuals and governmental entities, reducing burdens, boosting efficiency, and profoundly transforming public administration and political science. Moreover, aligning these technologies with institutional requirements is essential for successful transformation. Nevertheless, it is noted that these technologies will also refine the competencies of human resources in public administration. Implemented practices reveal that civil servants need higher expertise and improve their skill sets compared to past benchmarks. Based on these insights, we advocate for higher education institutions and other bodies responsible for public sector human resource development to integrate more practical and theoretical technology-focused courses into their curricula. A comprehensive review of the existing literature indicates a scarcity of studies that holistically investigate these technologies and assess them through the lens of field experts, researchers, and policymakers. Our study addresses this gap and contributes significantly to understanding these technologies’ transformative potential.

A walkthrough of the emerging IoT paradigm: Visualizing inside functionalities, key features, and open issues

Major advances in the Internet of Things (IoT) technologies are offering unprecedented automated services to various sectors. IoT has shown great promise in transforming buildings and institutions into smart buildings and institutions, making traditional task management more efficient. In particular, there has been remarkable progress in successfully integrating IoT into various contexts, such as smart homes, businesses and cities. Success in such technological transformations is not only due to the proper deployment and implementation of IoT but also to the effective employment of related technologies, such as big data and cloud computing technologies, and making informed decisions on the inclusion of the required hardware and software for all the elements involved in the IoT environment. While a significant amount of IoT research in various contexts has been proliferated in recent years, attention given to its deployment for linguistic landscapes (LLs) is still very rare. The aim of this paper is to propose a smart Al-Noor Mall LL which takes into account the appropriate deployment of IoT tools and relevant technologies. The paper also thoroughly discusses the background of the field, covering IoT technologies, cloud computing, and big data studies, followed by a review of the recent publications involving the successful deployment of IoT technologies combined with big data and cloud computing in various contexts. The literature also covers the success factors that contribute to the robustness of the required real-time operating system (RTOS) in an IoT-based environment in order to enable IoT devices to manage their resources efficiently. Based on a detailed analysis of the literature, a three-level framework (i.e. the object, communications and application levels) together with the elements that are required for IoT-based smart LL solutions is proposed. A case study of Al-Noor Mall is used to validate the proposed framework and the results indicate that IBM Bluemix can help Al-Noor Mall management and customers to locate any particular shop in the huge shopping mall, which thereby makes the customers’ shopping experience more satisfying. Finally, the challenges (i.e. energy efficiency, security, and intelligent data analysis) facing the successful deployment of IoT technologies are discussed with proposals for future research directions in the IoT research field.

Food security exists when all people at all times have physical, social and economic access to sufficient, safe and nutritious food. Food security is built on four pillars: availability, access, utilization and stability. Food and nutrition security embraces meeting energy, protein and nutrient needs for healthy life. Food systems overlap with agricultural systems in the area of food production, but also comprise the diverse set of institutions, technologies and practices that govern the way food is marketed, processed, transported, accessed and consumed. The food system activities are grouped into four categories: producing food, processing and packaging food, distributing and retailing food, and consuming food. The review paper aims at highlighting the connections and linkages between food sustainability and food security. There are very strong linkages between food and nutrition security, responsible environmental stewardship and greater fairness in food management. They intersect in agricultural and food systems at the global, national and local levels. Today, the main concern for the food and agricultural sector is to provide simultaneously enough food, in quantity and quality, to meet the nutritional needs of a growing population and to conserve natural resources for future generations. A sustainable food system supports food security, makes optimal use of natural and human resources, is culturally acceptable and accessible, environmentally sound and economically fair and viable, and provides the consumer with nutritionally adequate, safe, healthy and affordable food for present and future generations. Changes in both food consumption and food production are important to ensure more sustainable food systems and to achieve food and nutrition security in the Mediterranean region. Since diets sustainability is of paramount importance for achieving food and nutrition security, there is an urgent need to design and implement appropriate policies to improve the economic, environmental and social sustainability of the current food consumption patterns.

In this paper, we examine how advanced Information Technologies (IT) can be exploited for information sharing across supply chains, enabling collaboration and interoperability. Advanced information technologies, such as intelligent agents technology, data mining, big data, cloud computing (CC), Internet of Things (IoT), RFID technology and Industry 4.0 are utilized to implement the sharing of data and information throughout a supply chain. We discuss emerging research issues, trends and challenges that arise from the extended application of such technologies on the interdependent logistics activities.

With the continuous development of new ICT technologies such as big data, cloud computing, internet of things, mobile internet, artificial intelligence, etc. The State Grid Corporation of China (SGCC) will build a full-service ubiquitous power Internet of Things as the “second network” for the integration of power grids. Since March 2018, the ministry of information and communications of SGCC has organized the design work of the full-service ubiquitous power Internet of Things, and using the IMS administrative switching network as the communication support network for the Internet of Things. The construction of IMS administrative switching network faces a series of planning research such as core network, bearer network, access network and so on. The problems of interconnection between headquarters and provincial companies IMS network and public network, and telephone number resource allocation involving number transformation design. Based on the investigation status of State Grid administrative switching network, and the key technologies and architecture of IMS, combined with the characteristics of the electric power network, the transformation number design for IMS administrative switching network was presented. Provide technical guidance for the overall orderly evolution of the company’s switching network and the construction of the Internet of Things.